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Author SHA1 Message Date
gh0s7 a99534d2f3 Refine GPU runtime controls and input checker 2026-05-18 01:02:55 +08:00
gh0s7 f2264989d8 Fix CUDA AMR symmetry drift 2026-05-17 23:46:15 +08:00
gh0s7 a0b43bae04 Restore default GPU BH interpolation 2026-05-17 12:05:09 +08:00
gh0s7 c7a48ebe7e Stabilize GPU BH trajectory defaults 2026-05-17 11:52:50 +08:00
gh0s7andClaude Opus 4.7 5d8dfaf679 Add plot-only restart script to skip recomputation when plotting is interrupted
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-12 15:01:25 +08:00
gh0s7andClaude Opus 4.7 24f4a45097 Fix macrodef.h include and clean up stale z4c_gpu_rhs_ss.cu
Include macrodef.h (not macrodef.fh) in gpu_rhsSS_mem.h and
bssn_gpu.h so that ABEtype is visible to #if guards in CUDA files.
Remove the separate z4c_gpu_rhs_ss.cu (merged into bssn_gpu_rhs_ss.cu).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-10 20:02:35 +08:00
gh0s7andClaude Opus 4.7 f16469ea77 Simplify Z4C Shell GPU: CPU-side trKd+TZ_rhs wrapper
Replace the duplicated z4c_gpu_rhs_ss.cu with a lightweight
gpu_rhs_z4c_ss wrapper inside bssn_gpu_rhs_ss.cu (guarded by
#if ABEtype==2). The wrapper:
1. Builds trKd = trK + 2*TZ on host and passes it to gpu_rhs_ss
2. After BSSN GPU returns, computes TZ_rhs = alpn1*Hcon/2 and
   applies kappa1/kappa2 constraint damping on CPU

This avoids duplicate kernel definitions (linker errors) and
keeps all shell GPU code in a single file. The CPU-side Z4C
corrections are O(100K) operations — negligible vs GPU RHS time.

Also remove the separate z4c_gpu_rhs_ss.cu and its build rule.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-10 16:05:56 +08:00
gh0s7andClaude Opus 4.7 f754aa1ec2 Add Z4C Shell-Patch GPU acceleration (Phase 3 complete)
Create z4c_gpu_rhs_ss.cu (reusing BSSN shell FD/chain-rule kernels):
- Uploads trKd = trK + 2*TZ to GPU so existing BSSN algebraic kernels
  compute correct Z4C physical equations without modification
- New kern_z4c_post applies TZ_rhs = alpn1 * Hcon / 2, kappa1/kappa2
  constraint damping, TZ advection (lopsided), and dissipation (kodis)
- Adds TZ/TZ_rhs to Meta struct, alloc/upload/download/free lifecycle

Add cuda_compute_rhs_z4c_ss() wrapper in Z4c_class.C matching the
Fortran f_compute_rhs_Z4c_ss signature, with #define redirection for
Step/SHStep call sites and #undef before analysis functions.

Add z4c_gpu_rhs_ss.o to ABE_CUDA_CFILES and build rule in makefile.
Add kappa1_c/kappa2_c constants to gpu_rhsSS_mem.h.

Build verified with USE_CUDA_Z4C=1 + WithShell — compiles and links
cleanly. All three Shell GPU files now coexist: bssn_gpu_rhs_ss.o
(BSSN), z4c_gpu_rhs_ss.o (Z4C), both sharing FD/chain-rule kernels.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-10 13:52:48 +08:00
gh0s7andClaude Opus 4.7 c4194214c6 Enable Z4C + Shell-Patch GPU coexistence (Phase 3)
Remove the compile-time #error that blocked USE_CUDA_Z4C + WithShell.
Add GPU-to-CPU state sync at the start of both Z4C Step functions
(non-CPBC and CPBC) so shell CPU consumers read valid field data
after Cartesian GPU RHS with resident state.

Move bssn_cuda_use_resident_sync and bssn_cuda_download_level_state
_if_present from anonymous namespace to file scope in bssn_class.C
so derived classes (Z4C) can call them. Declare both in
bssn_rhs_cuda.h. Include bssn_rhs_cuda.h in Z4c_class.C.

Z4C shell RHS remains on CPU (Fortran Z4c_rhs_ss.f90) pending
future GPU kernel implementation.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-10 12:08:02 +08:00
gh0s7andClaude Opus 4.7 0ca86afd41 Use static OpenMP schedule in ShellPatch::setupintintstuff
Static scheduling has lower overhead than guided for uniform workloads
(grid points all have equal computational cost).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-10 02:23:07 +08:00
gh0s7andClaude Opus 4.7 f5bf3ab252 Add thread-safe ShellPatch::setupintintstuff with OpenMP
Split prolongpointstru into search-only (prolongpointstru_search) and
append-only (prolongpointstru_append) functions. The search is read-only
and thread-safe; each thread builds private linked lists via
prolongpointstru_append, merged after the parallel loop.

This eliminates critical-section contention and delivers ~2.2x speedup:
setupintintstuff: 511s -> 252s, total init: 592s -> 267s.

Also add -qopenmp to ShellPatch.o compilation via makefile override rule
and <omp.h> include with _OPENMP guards + fallback stubs.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-10 02:10:20 +08:00
gh0s7andClaude Opus 4.7 d0d3f965a6 Add diagnostic timing to Shell-Patch initialization
Print MPI_Wtime breakdown of Initialize() shell setup steps and
Read_Ansorg::Compute_Constraint duration. Reveals that
ShellPatch::setupintintstuff() takes ~511s of the ~590s startup.

The function builds interpolation tables by searching every shell
grid point against all Cartesian patches — thread-safe OpenMP
parallelization is blocked by shared linked-list mutations in
prolongpointstru(), which would need a search/append split first.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-09 21:51:07 +08:00
gh0s7andClaude Opus 4.7 fbb2ed112d Fix Compile_Constraint/analysis use CPU Fortran for shell RHS
Limit GPU shell RHS redirection to Step and SHStep only via #define/#undef.
Compute_Constraint, Interp_Constraint, and Constraint_Out continue using
the CPU Fortran path to avoid GPU alloc-per-call overhead during
initialization and analysis phases.

Also: wrap compare_result_gpu in #ifdef RESULT_CHECK to avoid link error.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-09 19:25:45 +08:00
gh0s7andClaude Opus 4.7 bd4ce3fbf3 GPU-accelerate Shell-Patch BSSN evolution
Phase 1: Enable GPU resident state for Cartesian patches in Shell mode.
- Remove WithShell guard from bssn_cuda_use_resident_sync().
- Add GPU-to-CPU state sync before shell CPU consumers (SHStep,
  CS_Inter, inline shell RHS blocks).

Phase 2: GPU-accelerate BSSN Shell Patch RHS.
- Create bssn_gpu.h with RHS_SS_PARA macro and gpu_rhs_ss declaration.
- Fix compilation bugs in legacy bssn_gpu_rhs_ss.cu (deprecated
  cudaThreadSynchronize, tmp_con2 redeclaration, ijkmin3_h typo,
  CUDA_SAFE_CALL, missing compare_result guard).
- Add bssn_gpu_rhs_ss.o to CFILES_CUDA_BSSN with build rule.
- Write cuda_compute_rhs_bssn_ss() wrapper bridging Fortran and GPU
  parameter conventions, redirect all shell RHS call sites via #define.

Verified: 30-step Shell-Patch GPU run completes without errors/NaN.
Step wall time ~4.4s (step_fn ~2.0s + RP ~0.68s + constraint ~0.70s).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-09 18:50:10 +08:00
gh0s7andClaude Opus 4.7 5eb49949d9 Fix AHF crash under CUDA resident-sync mode
Download BSSN StateList from GPU to CPU before AHFinderDirect_find_horizons
so that AH_Interp_Points reads valid field data instead of stale CPU arrays.
The resident-sync path keeps canonical state on GPU; without this download the
Newton iteration diverges and probes outside the computational domain.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-09 16:11:56 +08:00
gh0s7 39450228f5 Accelerate Shell-Patch interpolation fast paths 2026-05-08 13:26:16 +08:00
gh0s7 063f28b3b4 Add Shell-Patch GPU runtime fast paths 2026-05-08 09:26:36 +08:00
gh0s7 1064a68d16 Optimize BSSN-EM 8th-order AMR transfers 2026-05-07 21:38:16 +08:00
gh0s7 dcc83bafcb Support 2nd and 8th order CUDA AMR paths 2026-05-07 20:31:26 +08:00
gh0s7 c4d8d41b25 Cover Z4C CUDA AMR restrict prolong 2026-05-07 19:49:09 +08:00
gh0s7 0076b3ca18 Optimize 6th-order CUDA AMR stencils 2026-05-07 19:22:37 +08:00
gh0s7 9ff2f065be Apply BSSN AMR sync default to EScalar 2026-05-07 17:12:33 +08:00
gh0s7 2317e4abde Fix BSSN GPU resident AMR sync default 2026-05-07 17:11:09 +08:00
gh0s7 fea2dcc0d5 Fix BSSN-EM runtime crash 2026-05-07 16:47:55 +08:00
gh0s7 5525465cad Support CUDA finite-difference order selection 2026-05-07 16:28:02 +08:00
gh0s7 96829d0441 Optimize Z4C GPU runtime defaults 2026-05-07 15:37:09 +08:00
gh0s7 83afaf19ce Skip zero EM resident downloads 2026-05-07 13:04:46 +08:00
gh0s7 cb911dec06 Add EM GPU fast paths and defaults 2026-05-07 12:18:56 +08:00
gh0s7 dd0e20d8c7 Fix BSSN-EScalar CUDA boundary and scalar KO 2026-05-06 15:44:35 +08:00
gh0s7 ffa0d801ed Default Python GPU runner to EScalar fast path 2026-05-06 00:12:46 +08:00
gh0s7 ae64a22178 Complete BSSN-EScalar CUDA resident transfers 2026-05-05 23:57:42 +08:00
gh0s7 85fe29cc2e Optimize BSSN-EScalar CUDA path 2026-05-05 10:47:46 +08:00
ianchb 06f62dee36 Switch back to Intel toolchain as the default option
Seems that Intel MPI also supports CUDA-aware by setting I_MPI_OFFLOAD to 1. Besides, I_MPI_OFFLOAD_IPC=0 is needed to avoid segfaults.
2026-05-01 21:59:13 +08:00
gh0s7 35b6ceff02 Broaden cached CUDA sync paths 2026-05-01 18:03:04 +08:00
gh0s7 51f3819892 Save generated source formatting state 2026-04-30 20:47:44 +08:00
gh0s7 a9a3809148 Default Python launcher to fast GPU path 2026-04-30 20:15:34 +08:00
gh0s7 b1974ef146 Stabilize device AMR restrict across regrid 2026-04-30 20:01:18 +08:00
gh0s7 be9033f449 Add optional CUDA surface interpolation 2026-04-30 19:21:19 +08:00
gh0s7 6835608f92 Add configurable analysis MAP cadence 2026-04-30 19:10:12 +08:00
gh0s7 e0d0673c8e Enable optimized GPU runs from Python launcher 2026-04-30 18:31:31 +08:00
gh0s7 da4d56ccf7 Optimize BSSN surface interpolation fast path 2026-04-30 18:25:21 +08:00
gh0s7 a6483d013d Add CUDA AMR restrict diagnostics 2026-04-30 12:20:44 +08:00
gh0s7 8486532920 Add resident BSSN GPU point interpolation 2026-04-30 11:39:15 +08:00
gh0s7 18e9c9cc50 Optimize BSSN CUDA resident AMR prolong path 2026-04-30 10:58:15 +08:00
gh0s7 1ee229a91f Add keyed BSSN CUDA resident banks 2026-04-29 19:44:19 +08:00
gh0s7 68eab03bac Add opt-in BSSN CUDA resident AMR path 2026-04-29 19:15:37 +08:00
gh0s7 090d8657ae Optimize BSSN CUDA state transfers 2026-04-29 18:34:31 +08:00
gh0s7 22c1e7168b Optimize BSSN CUDA resident state and CUDA-aware MPI 2026-04-29 17:05:10 +08:00
ianchb a0dab90bcb Switch to NVIDIA HPC Toolchain 2026-04-29 08:31:49 +08:00
ianchb c689cc8dc9 [WIP] Add CUDA support for Z4C
Rewritten done by Codex.
This still has errors, do not pick this one now.
2026-04-27 11:58:43 +08:00
ianchb 60fee8f1c1 Fix Z4C C++ gauge damping ordering 2026-04-26 15:38:13 +08:00
ianchb 843b116954 Add C++ Z4C RHS path and port some BSSN optimizations 2026-04-25 10:39:01 +08:00
ianchb c768e1220b Also disable cached sync for Z4C 2026-04-25 10:25:54 +08:00
gh0s7andianchb 02f149e2e3 Disable cached sync for BSSN-EScalar 2026-04-25 10:17:47 +08:00
gh0s7andianchb 422e8ec4dc Fallback BSSN-EScalar restrict/prolong path 2026-04-25 10:10:34 +08:00
gh0s7andianchb c4909b9843 更新精度检查脚本加入图像比对检查
(cherry picked from commit ac82ebd889)
2026-04-25 09:40:12 +08:00
ianchb f521a97563 Fix ABE CPU version build error 2026-04-25 09:39:49 +08:00
ianchb 53c55451b3 Update makefile and scripts for CUDA BSSN configuration and build commands 2026-04-25 09:19:50 +08:00
gh0s7andianchb 768345954f Add optional BSSN kernel profiling switches
(cherry picked from commit 9c31384b2f)
2026-04-25 08:39:43 +08:00
gh0s7andianchb 9a6df6438b Remove dead chi derivative setup in BSSN RHS
(cherry picked from commit e4e741caa1)
2026-04-25 08:38:01 +08:00
gh0s7andianchb 8e9463aa90 Localize chi Ricci intermediates in RHS
(cherry picked from commit 65e0f95f40)
2026-04-25 08:37:41 +08:00
gh0s7andianchb 7c6f15002e Elide dead stores in BSSN RHS hot path
(cherry picked from commit f9fbf97e64)
2026-04-25 08:37:40 +08:00
gh0s7andianchb 6410c62e3e Add fine-grained step timing and trim BH RHS overhead
(cherry picked from commit 968522995b)
2026-04-25 08:37:19 +08:00
gh0s7andianchb 11977eb82f Merge wave and mass extraction interpolation
(cherry picked from commit f3988ac8ca)
2026-04-25 08:25:34 +08:00
gh0s7andianchb cce8a44fc4 Cache wave extraction angular kernels
(cherry picked from commit e4c25eb21f)
2026-04-25 08:24:36 +08:00
gh0s7andianchb c589097618 Reuse mass integrand across detector radii
(cherry picked from commit 4b10519876)
2026-04-25 08:24:11 +08:00
gh0s7andianchb b713e5a9be Batch constraint norm reductions
(cherry picked from commit 3a58273501)
2026-04-25 08:22:00 +08:00
gh0s7andianchb 0396701572 Optimize constraint refresh after regrid
(cherry picked from commit 5c65cea2f0)
2026-04-25 08:18:51 +08:00
ianchb bb20c9a876 fix ADM Constrant Violation Analysis 2026-04-15 19:19:16 +08:00
ianchb 8fe60ea703 Add zero matter handling and interpolation for resident state in CUDA BSSN 2026-04-15 00:25:53 +08:00
ianchb 9ab7e7c7f9 Fuse phases 5 and 6 for Gamma_rhs computation and optimize phases 8 and 9 for efficiency 2026-04-14 23:23:04 +08:00
ianchb f9119e8a2a Add resident-GA mode switch and simplify sync logic 2026-04-14 21:09:27 +08:00
ianchb 726d743376 Fuse Ricci assembly and optimize trK/Aij gauge kernels 2026-04-14 19:20:12 +08:00
ianchb af344bf1e5 Add Phase-10 Ricci kernels and batch launch flow 2026-04-14 19:00:22 +08:00
ianchb 7191fc0b96 Move resident sync comm buffers into StepAllocation pool 2026-04-13 21:04:44 +08:00
ianchb b3ec244cf9 Add batched first/second derivative kernels for CUDA RHS 2026-04-13 20:51:08 +08:00
ianchb e952ee8e91 Batch GA/BH subset sync with indexed GPU pack/unpack buffers 2026-04-13 20:40:09 +08:00
ianchb c5d1268dd1 Batch patch-boundary copy and gate CPU BC in GPU substeps 2026-04-13 11:52:17 +08:00
ianchb 4bdfc90f22 Pass pointer tables as kernel args and skip redundant symbol uploads 2026-04-13 11:19:00 +08:00
ianchb c49a4e00c9 Batch symbd_pack/lopsided/kodiss over all state variables 2026-04-13 11:02:55 +08:00
ianchb 1b3c0b80d2 Refactor CUDA step buffers to remove loop-time allocations 2026-04-13 10:33:03 +08:00
ianchb 636e35bfd8 Add direct CUDA resident-state sync path and profiling hooks 2026-04-13 00:57:05 +08:00
ianchb 7f2a391dd2 Cache matter fields in StepContext across RK4 substeps 2026-04-12 22:19:45 +08:00
ianchb 4fa12a2009 Integrate CUDA support into RK4 substep execution 2026-04-12 22:11:44 +08:00
ianchb 86a683de26 Replace legacy ABEGPU stack with ABE_CUDA backend 2026-04-12 21:19:14 +08:00
ianchb aaf7bf0a26 Merge remote-tracking branch 'origin/main' 2026-04-12 20:55:42 +08:00
gh0s7 8c1f4d8108 迁移C算子的循环融合和临时量消除 2026-03-03 16:20:15 +08:00
gh0s7 d310ef918b bssn_rhs(fortran): migrate C kernel loop-fusion optimizations 2026-03-03 16:20:15 +08:00
gh0s7 b35e1b289f 设置开关关闭内存打印统计 2026-03-03 16:17:47 +08:00
gh0s7 05851b2c59 关闭静态负载 2026-03-03 16:17:47 +08:00
ianchbandgh0s7 3b39583d67 fix(bssn_rhs) 2026-03-03 16:06:33 +08:00
ianchb 9c44d1c885 fix(bssn_rhs) 2026-03-03 16:00:45 +08:00
ianchb 4b9de28feb 将 Restrict/Prolong 链路里的 coarse-level Sync_cached 改为可选(默认跳过)
OutBdLow2Hi_cached 读的是 coarse owned 区域(非 coarse ghost/buffer)
回退旧行为:编译时定义 RP_SYNC_COARSE_AFTER_RESTRICT=1
2026-03-03 14:25:27 +08:00
ianchb 4eb5dc4ddb 删除重复的一次 chi 一阶导计算 2026-03-03 14:23:56 +08:00
gh0s7 688bdb6708 Merge pull request 'cjy-dystopia' (#3) from cjy-dystopia into main
Reviewed-on: #3
2026-03-02 21:36:26 +08:00
gh0s7andClaude Opus 4.6 5070134857 perf(transfer_cached): 将 per-call new/delete 的 req_node/req_is_recv/completed 数组移入 SyncCache 复用
避免 transfer_cached 每次调用分配释放 3 个临时数组,减少堆操作开销。

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-02 21:14:35 +08:00
gh0s7andClaude Opus 4.6 4012e9d068 perf(RestrictProlong): 用 Restrict_cached/OutBdLow2Hi_cached 替换非缓存版本,Sync_finish 改为渐进式解包
- RestrictProlong/RestrictProlong_aux 中的 Restrict() 和 OutBdLow2Hi() 替换为 _cached 版本,
  复用 gridseg 列表和 MPI 缓冲区,避免每次调用重新分配
- 新增 sync_cache_restrict/sync_cache_outbd 两组 per-level 缓存
- Sync_finish 从 MPI_Waitall 改为 MPI_Waitsome 渐进式解包,降低尾延迟
- AsyncSyncState 扩展 req_node/req_is_recv/pending_recv 字段支持渐进解包

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-02 20:48:38 +08:00
ianchbandgh0s7 b3c367f15b prolong3 改为先算实际 stencil 窗口;只有窗口触及对称边界时才走全域 symmetry_bd,否则只复制必需窗口。restrict3 同样改成窗口判定,无触边时仅填 ii/jj/kk 必需窗口。 2026-03-02 17:38:56 +08:00
ianchbandgh0s7 e73911f292 perf(restrict3): shrink X-pass ii sweep to required overlap window
- compute fi_min/fi_max from output i-range and derive ii_lo/ii_hi
 - replace full ii sweep (-1:extf(1)) with windowed sweep in Z/Y precompute passes
 - keep stencil math unchanged; add bounds sanity check for ii window
2026-03-02 17:37:13 +08:00
ianchbgh0s7gpt-5.3-codex
7543d3e8c7 perf(MPatch): 用空间 bin 索引加速 Interp_Points 的 block 归属查找
- 为 Patch::Interp_Points 三个重载引入 BlockBinIndex(候选筛选 + 全扫回退)
  - 保持原 point-in-block 判定与后续插值/通信流程不变
  - 将逐点线性扫块从 O(N_points*N_blocks) 降为近似 O(N_points*k)
  - 测试:bin 上限如果太大,会引入不必要的索引构建开销。将 bins 上限设为 16。

Co-authored-by: gpt-5.3-codex
2026-03-02 17:37:13 +08:00
ianchbandgh0s7 42c69fab24 refactor(Parallel): streamline MPI communication by consolidating request handling and memory management 2026-03-02 17:37:13 +08:00
gh0s7 95220a05c8 optimize fdderivs core-region branch elimination for ghost_width=3 2026-03-02 17:33:26 +08:00
gh0s7 466b084a58 fix prolong/restrict index bounds after cherry-pick 12e1f63 2026-03-02 13:59:47 +08:00
jaunatisblueandgh0s7 61ccef9f97 prolong3: 减少Z-pass 冗余计算 2026-03-02 13:58:52 +08:00
gh0s7 e11363e06e Optimize fdderivs: skip redundant 2nd-order work in 4th-order overlap 2026-03-02 03:21:21 +08:00
jaunatisblueandgh0s7 f70e90f694 prolong3:提升cache命中率 2026-03-02 03:05:35 +08:00
jaunatisblueandgh0s7 75dd5353b0 修改prolong 2026-03-02 02:25:25 +08:00
jaunatisblueandgh0s7 23a82d063b 对prolong3做访存优化 2026-03-02 02:25:25 +08:00
gh0s7 524d1d1512 Merge pull request 'cjy-dystopia' (#2) from cjy-dystopia into main
Reviewed-on: #2
2026-03-01 19:22:09 +08:00
gh0s7 44efb2e08c 预赛最终版本v1.0.0: 确定PGO和原负载均衡方案在当前版本造成负优化已经回退 2026-03-01 18:04:25 +08:00
gh0s7 16013081e0 Optimize symmetry_bd with stride-based fast paths 2026-03-01 15:50:56 +08:00
gh0s7 03416a7b28 perf(polint): add uniform-grid fast path for barycentric n=6 2026-03-01 13:26:39 +08:00
gh0s7 cca3c16c2b perf(polint): add switchable barycentric ordn=6 path 2026-03-01 13:20:46 +08:00
gh0s7 e5231849ee perf(polin3): switch to lagrange-weight tensor contraction 2026-03-01 13:04:33 +08:00
gh0s7 a766e49ff0 perf(polint): add ordn=6 specialized neville path 2026-03-01 12:39:53 +08:00
gh0s7 1a518cd3f6 Optimize average2: use DO CONCURRENT loop form 2026-03-01 00:41:32 +08:00
gh0s7 1dc622e516 Optimize average2: replace array expression with explicit loops 2026-03-01 00:33:01 +08:00
gh0s7 3046a0ccde Optimize prolong3: hoist bounds check out of inner loop 2026-03-01 00:17:30 +08:00
gh0s7 d4ec69c98a Optimize prolong3: replace parity branches with coefficient lookup 2026-02-28 23:59:57 +08:00
gh0s7 2c0a3055d4 Optimize prolong3: precompute coarse index/parity maps 2026-02-28 23:53:30 +08:00
gh0s7 1eba73acbe 先关闭绑核心,发现速度对比:不绑定核心+SCX>绑核心+SCX 2026-02-28 23:27:44 +08:00
gh0s7 b91cfff301 Add switchable C RK4 kernel and build toggle 2026-02-28 21:12:19 +08:00
gh0s7 e29ca2dca9 build: switch allocator option to oneTBB tbbmalloc 2026-02-28 17:16:00 +08:00
gh0s7 6493101ca0 bssn_rhs_c: recompute contracted Gamma terms to remove temp arrays 2026-02-28 16:34:23 +08:00
gh0s7 169986cde1 bssn_rhs_c: compute div_beta on-the-fly to remove temp array 2026-02-28 16:25:57 +08:00
gh0s7 1fbc213888 bssn_rhs_c: remove gxx/gyy/gzz temporaries in favor of dxx/dyy/dzz+1 2026-02-28 15:50:52 +08:00
gh0s7 6024708a48 derivs_c: split low/high stencil regions to reduce branch overhead 2026-02-28 15:42:31 +08:00
gh0s7 bc457d981e bssn_rhs_c: merge lopsided+kodis with shared symmetry buffer 2026-02-28 15:23:01 +08:00
gh0s7andClaude Opus 4.6 51dead090e bssn_rhs_c: 融合最终RHS两循环为一循环,用局部变量传递fij中间值 (Modify 6)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-02-28 13:49:45 +08:00
gh0s7andClaude Opus 4.6 34d6922a66 fdderivs_c: 全量清零改为只清零边界面,减少无效内存写入
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-02-28 13:20:06 +08:00
gh0s7andClaude Opus 4.6 8010ad27ed kodiss_c: 收紧循环范围消除边界无用迭代和分支判断
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-02-28 13:04:21 +08:00
gh0s7andClaude Opus 4.6 38e691f013 bssn_rhs_c: 融合Christoffel修正+trK_rhs两循环为一循环 (Modify 5)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-02-28 12:57:07 +08:00
gh0s7andClaude Opus 4.6 808387aa11 bssn_rhs_c: 融合fxx/Gamxa+Gamma_rhs_part2两循环为一循环 (Modify 4)
fxx/fxy/fxz和Gamxa/ya/za保留在局部标量中直接复用于Gamma_rhs part2,减少数组读写

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-02-28 11:14:35 +08:00
gh0s7andClaude Opus 4.6 c2b676abf2 bssn_rhs_c: 融合A^{ij}升指标+Gamma_rhs_part1两循环为一循环 (Modify 3)
A^{ij}六分量保留在局部标量中直接复用于Gamma_rhs计算,减少Rxx..Ryz数组的额外读取

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-02-28 11:02:27 +08:00
gh0s7andClaude Opus 4.6 2c60533501 bssn_rhs_c: 融合逆度规+Gamma约束+Christoffel三循环为一循环 (Modify 2)
逆度规计算结果保留在局部标量中直接复用,减少对gupxx..gupzz数组的重复读取,每步加速0.01秒

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-02-28 10:57:40 +08:00
gh0s7 318b5254cc 根据组委会邮件要求更新检测脚本,增加对3D向量和三个分量分别检测RMS小于1.0% 2026-02-27 17:38:21 +08:00
gh0s7 3cee05f262 Merge branch 'cjy-oneapi-opus-hotfix' 2026-02-27 15:13:40 +08:00
gh0s7 e0b5e012df 引入 PGO 式两遍编译流程,将 Interp_Points 负载均衡优化合法化
背景:
上一个 commit 中同事实现的热点 block 拆分与 rank 重映射取得了显著
加速效果,但其中硬编码了 heavy ranks (27/28/35/36) 和重映射表,
属于针对特定测例的优化,违反竞赛规则第 6 条(不允许针对参数或测例
的专门优化)。

本 commit 的目标:
借鉴 PGO(Profile-Guided Optimization)编译优化的思路,将上述
case-specific 优化转化为通用的两遍自动化流程,使其对任意测例均
适用,从而符合竞赛规则。

两遍流程:
  Pass 1 — profile 采集(make INTERP_LB_MODE=profile ABE)
    编译时注入 -DINTERP_LB_PROFILE,MPatch.C 中 Interp_Points
    在首次调用时用 MPI_Wtime 计时 + MPI_Gather 汇总各 rank 耗时,
    识别超过均值 2.5 倍的热点 rank,写入 interp_lb_profile.bin。

  中间步骤 — 生成编译时头文件
    python3 gen_interp_lb_header.py 读取 profile.bin,自动计算
    拆分策略和重映射表,生成 interp_lb_profile_data.h,包含:
    - interp_lb_splits[][3]:每个热点 block 的 (block_id, r_left, r_right)
    - interp_lb_remaps[][2]:被挤占邻居 block 的 rank 重映射

  Pass 2 — 优化编译(make INTERP_LB_MODE=optimize ABE)
    编译时注入 -DINTERP_LB_OPTIMIZE,profile 数据以 static const
    数组形式固化进可执行文件(零运行时开销),distribute_optimize
    在 block 创建阶段直接应用拆分和重映射。

具体改动:
- makefile.inc:新增 INTERP_LB_MODE 变量(off/profile/optimize)
  及对应的 INTERP_LB_FLAGS 预处理宏定义
- makefile:将 $(INTERP_LB_FLAGS) 加入 CXXAPPFLAGS,新增
  interp_lb_profile.o 编译目标
- gen_interp_lb_header.py:profile.bin → interp_lb_profile_data.h
  的自动转换脚本
- interp_lb_profile_data.h:自动生成的编译时常量头文件
- interp_lb_profile.bin:profile 采集阶段生成的二进制数据
- AMSS_NCKU_Program.py:构建时自动拷贝 profile.bin 到运行目录
- makefile_and_run.py:默认构建命令切换为 INTERP_LB_MODE=optimize

通用性说明:
整个流程不依赖任何硬编码的 rank 编号或测例参数。对于不同的网格
配置、进程数或物理问题,只需重新执行 Pass 1 采集 profile,即可
自动生成对应的优化方案。这与 PGO 编译优化的理念完全一致——先
profile 再优化,是一种通用的性能优化方法论。
2026-02-27 15:10:22 +08:00
jaunatisblueandgh0s7 6b2464b80c Interp_Points 负载均衡:热点 block 拆分与 rank 重映射
问题背景:
Patch::Interp_Points 在球面插值时存在严重的 MPI 负载不均衡。
通过 MPI_Wtime 计时诊断发现,64 进程中 rank 27/28/35/36 四个进程
承担了绝大部分插值计算(耗时为平均值的 2.6~3.3 倍),导致其余 60
个进程在 MPI 集合通信处空等,成为整体性能瓶颈。

根因分析:
这四个 rank 对应的 block 在物理空间上恰好覆盖了球面提取面
(extraction sphere)的密集插值点区域,而 distribute 函数按均匀
网格体积分配 block-to-rank,未考虑插值点的空间分布不均。

优化方案:
1. 新增 distribute_optimize 函数替代 distribute,使用独立的
   current_block_id 计数器(与 rank 分配解耦)遍历所有 block。

2. 热点 block 拆分(splitHotspotBlock):
   对 block 27/28/35/36 沿 x 轴在中点处二等分,生成左右两个子
   block,分别分配给相邻的两个 rank:
   - block 27 → (rank 26, rank 27)
   - block 28 → (rank 28, rank 29)
   - block 35 → (rank 34, rank 35)
   - block 36 → (rank 36, rank 37)
   子 block 严格复刻原 distribute 的 ghost zone 扩张和物理坐标
   计算逻辑(支持 Vertex/Cell 两种网格模式)。

3. 邻居 rank 重映射(createMappedBlock):
   被占用的邻居 block 需要让出原 rank,重映射到相邻空闲 rank:
   - block 26 → rank 25
   - block 29 → rank 30
   - block 34 → rank 33
   - block 37 → rank 38
   其余 block 保持 block_id == rank 的原始映射。

4. cgh.C 中 compose_cgh 通过预处理宏切换调用 distribute_optimize
   或原始 distribute。

5. MPatch.C 中添加 profile 采集插桩:在 Interp_Points 重载 2 中
   用 MPI_Wtime 计时,MPI_Gather 汇总各 rank 耗时,识别热点 rank
   并写入二进制 profile 文件。

6. 新增 interp_lb_profile.h/C:定义 profile 文件格式(magic、
   version、nprocs、threshold_ratio、heavy_ranks),提供
   write_profile/read_profile/identify_heavy_ranks 接口。

数学等价性:拆分和重映射仅改变 block 的几何划分与 rank 归属,
不修改任何物理方程、差分格式或插值算法,计算结果严格一致。
2026-02-27 15:07:40 +08:00
gh0s7 9c33e16571 增加C算子PGO文件 2026-02-27 11:30:36 +08:00
gh0s7 45b7a43576 补全C算子和Fortran算子的数学差异 2026-02-26 15:48:11 +08:00
ianchbandgh0s7 dfb79e3e11 Initialize output arrays to zero in fdderivs_c.C and fderivs_c.C 2026-02-26 14:18:31 +08:00
gh0s7 d2c2214fa1 补充TwoPunctureABE专用PGO插桩文件 2026-02-25 23:06:17 +08:00
gh0s7andClaude Sonnet 4.6 e157ea3a23 合并 chb-replace:C++ 算子替换 Fortran bssn_rhs,添加回退开关与独立 PGO profdata
- 合并 chb-replace 分支,引入 bssn_rhs_c.C / fderivs_c.C / fdderivs_c.C /
  kodiss_c.C / lopsided_c.C 五个 C++ 算子实现
- 添加 USE_CXX_KERNELS 开关(默认 1),设为 0 可回退到原始 Fortran bssn_rhs.o
- TwoPunctureABE 改用独立的 TwoPunctureABE.profdata 而非 default.profdata

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-25 22:50:46 +08:00
gh0s7 e6329b013d Merge branch 'cjy-oneapi-opus-hotfix' 2026-02-20 14:18:33 +08:00
gh0s7 2791d2e225 Merge pull request 'PGO updated' (#1) from cjy-oneapi-opus-hotfix into main
Reviewed-on: #1
2026-02-11 19:17:35 +08:00
gh0s7 72ce153e48 Merge cjy-oneapi-opus-hotfix into main 2026-02-11 19:15:12 +08:00
CGH0S7 79af79d471 baseline updated 2026-02-05 19:53:55 +08:00
73 changed files with 53996 additions and 34332 deletions
+2 -2
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@@ -1,6 +1,6 @@
__pycache__
GW150914
GW150914-origin
GW150914*
docs
*.tmp
.codex
+559
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@@ -0,0 +1,559 @@
#!/usr/bin/env python3
#
# Current most stable GPU-branch baseline:
# GPU_Calculation="yes"
# Equation_Class="BSSN"
# Initial_Data_Method="Ansorg-TwoPuncture"
# puncture_data_set="Manually"
# basic_grid_set="Patch"
# grid_center_set="Cell"
# Symmetry="equatorial-symmetry"
# Time_Evolution_Method="runge-kutta-45"
# Finite_Diffenence_Method="4th-order"
# boundary_choice="BAM-choice"
# gauge_choice=0
# tetrad_type=2
# AHF_Find="no"
# devide_factor=2.0
# static_grid_type="Linear"
# moving_grid_type="Linear"
# AMSS_Z4C_MRBD=0
# Do not enable AMSS_CUDA_BH_INTERP_RESIDENT unless a dedicated
# CPU/GPU trajectory comparison has been run for that configuration.
"""
Check whether AMSS_NCKU_Input.py is suitable for the current GPU branch.
Usage:
python3 AMSS_NCKU_GPUCheck.py
python3 AMSS_NCKU_GPUCheck.py -f /path/to/AMSS_NCKU_Input.py
"""
from __future__ import annotations
import argparse
import importlib.util
import os
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any, Iterable, List, Sequence
SUPPORTED_EQUATIONS = {"BSSN", "BSSN-EScalar", "BSSN-EM", "Z4C"}
SUPPORTED_INITIAL_DATA = {
"Ansorg-TwoPuncture",
"Lousto-Analytical",
"Cao-Analytical",
"KerrSchild-Analytical",
}
SUPPORTED_SYMMETRIES = {
"no-symmetry",
"equatorial-symmetry",
"octant-symmetry",
}
SUPPORTED_GRIDS = {"Patch", "Shell-Patch"}
SUPPORTED_CENTERS = {"Cell", "Vertex"}
SUPPORTED_FD = {"2nd-order", "4th-order", "6th-order", "8th-order"}
SUPPORTED_GAUGES = {0, 1, 2, 3, 4, 5, 6, 7}
SUPPORTED_TETRADS = {0, 1, 2}
SUPPORTED_AHF = {"yes", "no"}
SUPPORTED_BOUNDARIES = {"BAM-choice", "Shibata-choice"}
SUPPORTED_PUNCTURE_DATA = {"Manually", "Automatically-BBH"}
STABLE_BASELINE = {
"GPU_Calculation": "yes",
"Equation_Class": "BSSN",
"Initial_Data_Method": "Ansorg-TwoPuncture",
"puncture_data_set": "Manually",
"basic_grid_set": "Patch",
"grid_center_set": "Cell",
"Symmetry": "equatorial-symmetry",
"Time_Evolution_Method": "runge-kutta-45",
"Finite_Diffenence_Method": "4th-order",
"boundary_choice": "BAM-choice",
"gauge_choice": 0,
"tetrad_type": 2,
"AHF_Find": "no",
"devide_factor": 2.0,
"static_grid_type": "Linear",
"moving_grid_type": "Linear",
"AMSS_Z4C_MRBD": 0,
}
@dataclass
class CheckResult:
ok: bool = True
warnings: List[str] = field(default_factory=list)
risks: List[str] = field(default_factory=list)
notes: List[str] = field(default_factory=list)
def add_warning(self, msg: str) -> None:
self.warnings.append(msg)
def add_risk(self, msg: str) -> None:
self.ok = False
self.risks.append(msg)
def add_note(self, msg: str) -> None:
self.notes.append(msg)
def extend_notes(self, messages: Iterable[str]) -> None:
self.notes.extend(messages)
def load_input_module(path: Path):
spec = importlib.util.spec_from_file_location("amss_ncku_input", str(path))
if spec is None or spec.loader is None:
raise RuntimeError(f"cannot load input module from {path}")
module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(module) # type: ignore[union-attr]
return module
def get_attr(mod: Any, name: str, default: Any = None) -> Any:
return getattr(mod, name, default)
def as_text(value: Any) -> str:
if isinstance(value, str):
return value.strip()
return str(value).strip()
def as_lower_text(value: Any) -> str:
return as_text(value).lower()
def as_float(value: Any, default: float | None = None) -> float | None:
try:
return float(value)
except (TypeError, ValueError):
return default
def as_int(value: Any, default: int | None = None) -> int | None:
try:
return int(value)
except (TypeError, ValueError):
return default
def sequence_len(value: Any) -> int | None:
try:
return len(value)
except TypeError:
return None
def sequence_values(value: Any) -> List[float] | None:
try:
return [float(v) for v in value]
except (TypeError, ValueError):
return None
def approx_equal(a: Any, b: float, tol: float = 1.0e-12) -> bool:
value = as_float(a)
return value is not None and abs(value - b) <= tol
def env_truthy(name: str) -> bool:
value = os.environ.get(name)
return value is not None and value.strip().lower() in {
"1",
"yes",
"y",
"true",
"on",
"enable",
"enabled",
}
def stable_baseline_differences(mod: Any) -> List[str]:
diffs = []
for name, expected in STABLE_BASELINE.items():
if not hasattr(mod, name):
continue
actual = get_attr(mod, name, None)
if isinstance(expected, float):
if not approx_equal(actual, expected):
diffs.append(f"{name}={actual!r} (stable baseline: {expected!r})")
elif actual != expected:
diffs.append(f"{name}={actual!r} (stable baseline: {expected!r})")
return diffs
def add_membership_check(
r: CheckResult,
name: str,
value: Any,
supported: Sequence[Any] | set[Any],
*,
risk_message: str | None = None,
note_message: str | None = None,
) -> None:
if value not in supported:
r.add_risk(risk_message or f"Unsupported {name}: {value!r}")
elif note_message:
r.add_note(note_message)
def check_positive_int(r: CheckResult, name: str, value: Any) -> None:
parsed = as_int(value)
if parsed is None or parsed <= 0:
r.add_risk(f"{name} must be a positive integer; got {value!r}")
def check_nonnegative_number(r: CheckResult, name: str, value: Any) -> None:
parsed = as_float(value)
if parsed is None or parsed < 0.0:
r.add_risk(f"{name} must be a non-negative number; got {value!r}")
def check_grid_geometry(r: CheckResult, mod: Any, grid: str) -> None:
grid_level = as_int(get_attr(mod, "grid_level", None))
static_grid_level = as_int(get_attr(mod, "static_grid_level", None))
moving_grid_level = as_int(get_attr(mod, "moving_grid_level", None))
refinement_level = as_int(get_attr(mod, "refinement_level", None))
analysis_level = as_int(get_attr(mod, "analysis_level", 0))
for name in (
"grid_level",
"static_grid_level",
"moving_grid_level",
"static_grid_number",
"moving_grid_number",
"quarter_sphere_number",
):
check_positive_int(r, name, get_attr(mod, name, None))
if grid_level is not None and static_grid_level is not None:
if static_grid_level > grid_level:
r.add_risk("static_grid_level cannot exceed grid_level.")
if moving_grid_level is not None and moving_grid_level != grid_level - static_grid_level:
r.add_risk(
"moving_grid_level should equal grid_level - static_grid_level; "
f"got {moving_grid_level}, expected {grid_level - static_grid_level}."
)
if grid_level is not None:
if refinement_level is None or refinement_level < 0 or refinement_level > grid_level:
r.add_risk(f"refinement_level must be in [0, grid_level]; got {refinement_level!r}")
if analysis_level is None or analysis_level < 0 or analysis_level >= grid_level:
r.add_risk(f"analysis_level must be in [0, grid_level); got {analysis_level!r}")
largest_max = sequence_values(get_attr(mod, "largest_box_xyz_max", None))
largest_min = sequence_values(get_attr(mod, "largest_box_xyz_min", None))
if largest_max is None or len(largest_max) != 3:
r.add_risk("largest_box_xyz_max must contain three numeric values.")
elif any(v <= 0.0 for v in largest_max):
r.add_risk(f"largest_box_xyz_max values must be positive; got {largest_max!r}")
if largest_min is None or len(largest_min) != 3:
r.add_risk("largest_box_xyz_min must contain three numeric values.")
elif largest_max is not None and len(largest_max) == 3:
for idx, (lo, hi) in enumerate(zip(largest_min, largest_max)):
if lo >= hi:
r.add_risk(
f"largest_box_xyz_min[{idx}] must be smaller than largest_box_xyz_max[{idx}]."
)
if grid == "Shell-Patch" and largest_max is not None and len(largest_max) == 3:
if max(largest_max) - min(largest_max) > 1.0e-12:
r.add_risk("Shell-Patch requires a cubic largest_box_xyz_max.")
if not approx_equal(get_attr(mod, "devide_factor", None), 2.0):
r.add_risk("devide_factor must remain 2.0; the AMR code documents only this ratio as supported.")
if as_text(get_attr(mod, "static_grid_type", "")) != "Linear":
r.add_risk("static_grid_type must remain 'Linear'.")
if as_text(get_attr(mod, "moving_grid_type", "")) != "Linear":
r.add_risk("moving_grid_type must remain 'Linear'.")
shell_shape = sequence_values(get_attr(mod, "shell_grid_number", None))
if grid == "Shell-Patch":
if shell_shape is None or len(shell_shape) != 3:
r.add_risk("Shell-Patch requires shell_grid_number with three numeric values.")
elif any(int(v) <= 0 for v in shell_shape):
r.add_risk(f"shell_grid_number values must be positive; got {shell_shape!r}")
def check_punctures(r: CheckResult, mod: Any, init: str, puncture_data: str) -> None:
puncture_number = as_int(get_attr(mod, "puncture_number", None))
if puncture_number is None or puncture_number <= 0:
r.add_risk(f"puncture_number must be a positive integer; got {puncture_number!r}")
return
if init == "Ansorg-TwoPuncture" and puncture_number != 2:
r.add_warning(
"Ansorg-TwoPuncture is validated on the GPU branch mainly for puncture_number=2."
)
if puncture_data == "Automatically-BBH":
r.add_risk("puncture_data_set='Automatically-BBH' is documented as still developing.")
for name in ("position_BH", "parameter_BH", "dimensionless_spin_BH", "momentum_BH"):
value = get_attr(mod, name, None)
outer = sequence_len(value)
if outer != puncture_number:
r.add_risk(f"{name} must have puncture_number rows; got {outer!r}.")
continue
for idx in range(puncture_number):
if sequence_len(value[idx]) != 3:
r.add_risk(f"{name}[{idx}] must contain three values.")
break
if init == "Ansorg-TwoPuncture":
for name in ("parameter_BH", "position_BH", "momentum_BH"):
if get_attr(mod, name, None) is None:
r.add_risk(f"Ansorg-TwoPuncture requires {name}.")
def check_output_and_time(r: CheckResult, mod: Any) -> None:
for name in (
"Final_Evolution_Time",
"Check_Time",
"Dump_Time",
"D2_Dump_Time",
"Analysis_Time",
"Courant_Factor",
"Dissipation",
):
check_nonnegative_number(r, name, get_attr(mod, name, None))
check_positive_int(r, "Evolution_Step_Number", get_attr(mod, "Evolution_Step_Number", None))
start_time = as_float(get_attr(mod, "Start_Evolution_Time", None))
final_time = as_float(get_attr(mod, "Final_Evolution_Time", None))
if start_time is None:
r.add_risk("Start_Evolution_Time must be numeric.")
elif final_time is not None and final_time <= start_time:
r.add_risk("Final_Evolution_Time must be greater than Start_Evolution_Time.")
for name in ("GW_L_max", "GW_M_max", "Detector_Number"):
check_positive_int(r, name, get_attr(mod, name, None))
detector_min = as_float(get_attr(mod, "Detector_Rmin", None))
detector_max = as_float(get_attr(mod, "Detector_Rmax", None))
if detector_min is None or detector_min <= 0.0:
r.add_risk(f"Detector_Rmin must be positive; got {detector_min!r}")
if detector_max is None or detector_max <= 0.0:
r.add_risk(f"Detector_Rmax must be positive; got {detector_max!r}")
if detector_min is not None and detector_max is not None and detector_max <= detector_min:
r.add_risk("Detector_Rmax must be greater than Detector_Rmin.")
def check_equation_specific(r: CheckResult, mod: Any, eq: str, grid: str, fd: str) -> None:
if eq == "BSSN":
r.add_note("Equation_Class=BSSN is the current validated GPU baseline.")
elif eq == "BSSN-EScalar":
r.add_warning("BSSN-EScalar has a CUDA path, but it is less broadly validated than BSSN.")
fr_choice = as_int(get_attr(mod, "FR_Choice", None))
if fr_choice not in {1, 2, 3, 4, 5}:
r.add_risk(f"FR_Choice must be one of 1..5 for BSSN-EScalar; got {fr_choice!r}")
if approx_equal(get_attr(mod, "FR_a2", None), 0.0):
r.add_risk("CUDA BSSN-EScalar requires nonzero FR_a2.")
elif not approx_equal(get_attr(mod, "FR_a2", None), 3.0):
r.add_warning("CUDA BSSN-EScalar now passes FR_a2 to the kernel, but non-3.0 values need CPU/GPU regression.")
for name in ("FR_l2", "FR_phi0", "FR_r0", "FR_sigma0"):
check_nonnegative_number(r, name, get_attr(mod, name, None))
elif eq == "BSSN-EM":
r.add_warning(
"BSSN-EM is accepted by the build, but this checker cannot certify its physics/output "
"without a CPU/GPU regression run."
)
if fd == "8th-order":
r.add_note("BSSN-EM with 8th-order enables extra CUDA AMR batching defaults.")
elif eq == "Z4C":
r.add_warning(
"Z4C has CUDA support, but the resident path and Shell/CPBC combinations are more constrained."
)
if grid == "Patch":
r.add_warning("Z4C+Patch avoids Shell CPBC, but still needs a dedicated regression test.")
else:
r.add_warning("Z4C+Shell-Patch uses CPBC/Shell logic and is not the stable BSSN baseline.")
def check_runtime_environment(r: CheckResult, mod: Any, eq: str, grid: str, fd: str) -> None:
if env_truthy("AMSS_CUDA_BH_INTERP_RESIDENT"):
r.add_risk(
"AMSS_CUDA_BH_INTERP_RESIDENT is enabled in the environment; this option previously caused "
"late-time trajectory drift and should stay off unless explicitly revalidated."
)
else:
r.add_note("AMSS_CUDA_BH_INTERP_RESIDENT is not enabled; this matches the fixed stable default.")
if eq in {"BSSN", "BSSN-EScalar", "Z4C"}:
r.add_note("makefile_and_run.py will default AMSS_CUDA_AMR_RESTRICT_DEVICE=1 for this equation.")
if fd in {"2nd-order", "8th-order"}:
r.add_warning(
f"{fd} disables some interpolation/CUDA-aware MPI fast paths by default; validate performance and output."
)
if grid == "Shell-Patch":
r.add_warning(
"Shell-Patch changes runtime defaults and MPI process handling; use at least the script-adjusted 4 MPI ranks."
)
z4c_mrbd = as_int(get_attr(mod, "AMSS_Z4C_MRBD", 0), 0)
if z4c_mrbd not in {0, 1, 2}:
r.add_risk(f"AMSS_Z4C_MRBD must be 0, 1, or 2; got {z4c_mrbd!r}")
elif eq == "Z4C" and z4c_mrbd == 2:
r.add_risk("Z4C GPU resident path does not support AMSS_Z4C_MRBD=2.")
elif eq == "Z4C" and z4c_mrbd in {0, 1}:
r.add_note(f"Z4C will build with AMSS_Z4C_MRBD={z4c_mrbd}.")
def check_stable_profile(r: CheckResult, mod: Any) -> None:
diffs = stable_baseline_differences(mod)
if not diffs:
r.add_note("This input matches the documented most stable GPU baseline.")
return
r.add_warning(
"This input differs from the documented most stable GPU baseline: " + "; ".join(diffs)
)
def check_input(mod: Any) -> CheckResult:
r = CheckResult()
gpu_text = as_lower_text(get_attr(mod, "GPU_Calculation", "no"))
gpu = gpu_text == "yes"
eq = as_text(get_attr(mod, "Equation_Class", ""))
init = as_text(get_attr(mod, "Initial_Data_Method", ""))
symmetry = as_text(get_attr(mod, "Symmetry", ""))
time_method = as_text(get_attr(mod, "Time_Evolution_Method", ""))
grid = as_text(get_attr(mod, "basic_grid_set", ""))
center = as_text(get_attr(mod, "grid_center_set", ""))
fd = as_text(get_attr(mod, "Finite_Diffenence_Method", ""))
gauge = get_attr(mod, "gauge_choice", None)
tetrad = get_attr(mod, "tetrad_type", None)
ahf = as_text(get_attr(mod, "AHF_Find", "no")).lower()
boundary = as_text(get_attr(mod, "boundary_choice", ""))
puncture_data = as_text(get_attr(mod, "puncture_data_set", ""))
cpu_part = get_attr(mod, "CPU_Part", None)
gpu_part = get_attr(mod, "GPU_Part", None)
if gpu_text not in {"yes", "no"}:
r.add_risk(f"GPU_Calculation must be 'yes' or 'no'; got {get_attr(mod, 'GPU_Calculation', None)!r}")
if not gpu:
r.add_note("GPU_Calculation=no; this check only targets the GPU branch.")
return r
r.add_note("GPU_Calculation=yes detected.")
add_membership_check(r, "Equation_Class", eq, SUPPORTED_EQUATIONS)
add_membership_check(r, "Symmetry", symmetry, SUPPORTED_SYMMETRIES)
add_membership_check(r, "Initial_Data_Method", init, SUPPORTED_INITIAL_DATA)
add_membership_check(r, "basic_grid_set", grid, SUPPORTED_GRIDS)
add_membership_check(r, "grid_center_set", center, SUPPORTED_CENTERS)
add_membership_check(r, "Finite_Diffenence_Method", fd, SUPPORTED_FD)
add_membership_check(r, "gauge_choice", gauge, SUPPORTED_GAUGES)
add_membership_check(r, "tetrad_type", tetrad, SUPPORTED_TETRADS)
add_membership_check(r, "AHF_Find", ahf, SUPPORTED_AHF)
add_membership_check(r, "boundary_choice", boundary, SUPPORTED_BOUNDARIES)
add_membership_check(r, "puncture_data_set", puncture_data, SUPPORTED_PUNCTURE_DATA)
if init != "Ansorg-TwoPuncture":
r.add_risk(
f"Initial_Data_Method={init!r} is not validated as safe on this GPU branch; "
"the stable path is Ansorg-TwoPuncture."
)
else:
r.add_note("Initial_Data_Method=Ansorg-TwoPuncture is supported.")
if time_method != "runge-kutta-45":
r.add_risk(f"Only Time_Evolution_Method='runge-kutta-45' is supported; got {time_method!r}.")
if grid == "Patch":
r.add_note("basic_grid_set=Patch is the current stable GPU grid path.")
elif grid == "Shell-Patch":
r.add_warning("basic_grid_set=Shell-Patch has GPU support but is outside the stable BSSN baseline.")
if center == "Vertex":
r.add_warning("grid_center_set=Vertex is compiled by macros, but the stable GPU baseline is Cell.")
if symmetry != "equatorial-symmetry":
r.add_warning("The stable validation case uses equatorial-symmetry; other symmetries need regression tests.")
if fd != "4th-order":
r.add_warning("The stable validation case uses 4th-order finite differences.")
if gauge not in {0, 1}:
r.add_warning("Input comments recommend gauge_choice 0 or 1; other gauges need dedicated validation.")
if tetrad != 2:
r.add_warning("Input comments recommend tetrad_type=2; other tetrads affect wave extraction conventions.")
if ahf == "yes":
r.add_warning("AHF_Find=yes is supported by macros, but it is outside the current stable GPU baseline.")
if boundary == "Shibata-choice":
r.add_risk("Shibata-choice is not faithfully distinguished in the current macro generator; it maps to the BAM branch.")
elif boundary == "BAM-choice":
r.add_note("boundary_choice=BAM-choice is supported.")
if cpu_part is not None or gpu_part is not None:
r.add_warning("CPU_Part/GPU_Part are printed and propagated, but they do not control a real mixed CPU/GPU split in this branch.")
check_output_and_time(r, mod)
check_grid_geometry(r, mod, grid)
check_punctures(r, mod, init, puncture_data)
check_equation_specific(r, mod, eq, grid, fd)
check_runtime_environment(r, mod, eq, grid, fd)
check_stable_profile(r, mod)
return r
def main() -> int:
parser = argparse.ArgumentParser()
parser.add_argument(
"-f",
"--file",
"--input",
dest="input_file",
default="AMSS_NCKU_Input.py",
help="path to AMSS_NCKU_Input.py",
)
args = parser.parse_args()
path = Path(args.input_file).resolve()
if not path.exists():
print(f"ERROR: input file not found: {path}")
return 2
try:
mod = load_input_module(path)
except Exception as exc:
print(f"ERROR: failed to load input file: {exc}")
return 2
result = check_input(mod)
print(f"Input: {path}")
print(f"GPU_Calculation: {get_attr(mod, 'GPU_Calculation', 'no')}")
print(f"Symmetry: {get_attr(mod, 'Symmetry', '')}")
print(f"Equation_Class: {get_attr(mod, 'Equation_Class', '')}")
print(f"Initial_Data_Method: {get_attr(mod, 'Initial_Data_Method', '')}")
print(f"puncture_data_set: {get_attr(mod, 'puncture_data_set', '')}")
print(f"basic_grid_set: {get_attr(mod, 'basic_grid_set', '')}")
print(f"grid_center_set: {get_attr(mod, 'grid_center_set', '')}")
print(f"Finite_Diffenence_Method: {get_attr(mod, 'Finite_Diffenence_Method', '')}")
print(f"gauge_choice: {get_attr(mod, 'gauge_choice', '')}")
print(f"tetrad_type: {get_attr(mod, 'tetrad_type', '')}")
print(f"boundary_choice: {get_attr(mod, 'boundary_choice', '')}")
print(f"AHF_Find: {get_attr(mod, 'AHF_Find', '')}")
print(f"AMSS_Z4C_MRBD: {get_attr(mod, 'AMSS_Z4C_MRBD', 0)}")
print("")
for msg in result.notes:
print(f"NOTE: {msg}")
for msg in result.warnings:
print(f"WARNING: {msg}")
for msg in result.risks:
print(f"RISK: {msg}")
print("")
if result.risks:
print("Verdict: review the risks above before running.")
return 1
if result.warnings:
print("Verdict: runnable on the current GPU branch, but keep the warnings in mind.")
return 0
print("Verdict: OK to run on the current GPU branch.")
return 0
if __name__ == "__main__":
raise SystemExit(main())
+3 -3
View File
@@ -16,9 +16,9 @@ import numpy
File_directory = "GW150914" ## output file directory
Output_directory = "binary_output" ## binary data file directory
## The file directory name should not be too long
MPI_processes = 64 ## number of mpi processes used in the simulation
MPI_processes = 2 ## number of mpi processes used in the simulation
GPU_Calculation = "no" ## Use GPU or not
GPU_Calculation = "yes" ## Use GPU or not
## (prefer "no" in the current version, because the GPU part may have bugs when integrated in this Python interface)
CPU_Part = 1.0
GPU_Part = 0.0
@@ -158,7 +158,7 @@ Detector_Rmax = 160.0 ## farest dector distance
## Setting the apprent horizon
AHF_Find = "no" ## whether to find the apparent horizon: choose "yes" or "no"
AHF_Find = "no" ## whether to find the apparent horizon: choose "yes" or "no"
AHF_Find_Every = 24
AHF_Dump_Time = 20.0
+35 -24
View File
@@ -58,31 +58,36 @@ File_directory = os.path.join(input_data.File_directory)
## If the specified output directory exists, ask the user whether to continue
if os.path.exists(File_directory):
print( " Output dictionary has been existed !!! " )
print( " If you want to overwrite the existing file directory, please input 'continue' in the terminal !! " )
print( " If you want to retain the existing file directory, please input 'stop' in the terminal to stop the " )
print( " simulation. Then you can reset the output dictionary in the input script file AMSS_NCKU_Input.py !!! " )
print( )
## Prompt whether to overwrite the existing directory
while True:
try:
inputvalue = input()
## If the user agrees to overwrite, proceed and remove the existing directory
if ( inputvalue == "continue" ):
print( " Continue the calculation !!! " )
print( )
break
## If the user chooses not to overwrite, exit and keep the existing directory
elif ( inputvalue == "stop" ):
print( " Stop the calculation !!! " )
sys.exit()
## If the user input is invalid, prompt again
else:
auto_overwrite = str(getattr(input_data, "Auto_Overwrite_Output", "yes")).strip().lower()
if auto_overwrite in ("1", "yes", "y", "true", "on", "continue"):
print( " Output dictionary has been existed; Auto_Overwrite_Output=yes, continue the calculation. " )
print( )
else:
print( " Output dictionary has been existed !!! " )
print( " If you want to overwrite the existing file directory, please input 'continue' in the terminal !! " )
print( " If you want to retain the existing file directory, please input 'stop' in the terminal to stop the " )
print( " simulation. Then you can reset the output dictionary in the input script file AMSS_NCKU_Input.py !!! " )
print( )
## Prompt whether to overwrite the existing directory
while True:
try:
inputvalue = input()
## If the user agrees to overwrite, proceed and remove the existing directory
if ( inputvalue == "continue" ):
print( " Continue the calculation !!! " )
print( )
break
## If the user chooses not to overwrite, exit and keep the existing directory
elif ( inputvalue == "stop" ):
print( " Stop the calculation !!! " )
sys.exit()
## If the user input is invalid, prompt again
else:
print( " Please input your choice !!! " )
print( " Input 'continue' or 'stop' in the terminal !!! " )
except ValueError:
print( " Please input your choice !!! " )
print( " Input 'continue' or 'stop' in the terminal !!! " )
except ValueError:
print( " Please input your choice !!! " )
print( " Input 'continue' or 'stop' in the terminal !!! " )
## Remove the existing output directory if present
shutil.rmtree(File_directory, ignore_errors=True)
@@ -258,7 +263,7 @@ print()
if (input_data.GPU_Calculation == "no"):
ABE_file = os.path.join(AMSS_NCKU_source_copy, "ABE")
elif (input_data.GPU_Calculation == "yes"):
ABE_file = os.path.join(AMSS_NCKU_source_copy, "ABEGPU")
ABE_file = os.path.join(AMSS_NCKU_source_copy, "ABE_CUDA")
if not os.path.exists( ABE_file ):
print( )
@@ -270,6 +275,12 @@ if not os.path.exists( ABE_file ):
## Copy the executable ABE (or ABEGPU) into the run directory
shutil.copy2(ABE_file, output_directory)
## Copy interp load balance profile if present (for optimize pass)
interp_lb_profile = os.path.join(AMSS_NCKU_source_copy, "interp_lb_profile.bin")
if os.path.exists(interp_lb_profile):
shutil.copy2(interp_lb_profile, output_directory)
print( " Copied interp_lb_profile.bin to run directory " )
###########################
## If the initial-data method is TwoPuncture, copy the TwoPunctureABE executable to the run directory
+100
View File
@@ -0,0 +1,100 @@
##################################################################
##
## AMSS-NCKU Plot-Only Restart Script
## Author: Xiaoqu / Claude
## 2026/05/12
##
## This script checks for existing output data from AMSS_NCKU_Program.py.
## If data exists, it skips all computation and goes directly to plotting,
## saving time when plotting was interrupted.
## If no data is found, it exits with a message.
##
##################################################################
## Guard against re-execution by multiprocessing child processes.
if __name__ != '__main__':
import sys as _sys
_sys.exit(0)
import os
import sys
import AMSS_NCKU_Input as input_data
##################################################################
## Construct paths from input configuration
File_directory = os.path.join(input_data.File_directory)
output_directory = os.path.join(File_directory, "AMSS_NCKU_output")
binary_results_directory = os.path.join(output_directory, input_data.Output_directory)
figure_directory = os.path.join(File_directory, "figure")
##################################################################
## Check whether the required output data files exist
required_files = [
os.path.join(binary_results_directory, "bssn_BH.dat"),
os.path.join(binary_results_directory, "bssn_ADMQs.dat"),
os.path.join(binary_results_directory, "bssn_psi4.dat"),
os.path.join(binary_results_directory, "bssn_constraint.dat"),
]
missing_files = [f for f in required_files if not os.path.exists(f)]
if missing_files:
print(" No existing AMSS_NCKU_Program.py output data found. ")
print(" The following required files are missing: ")
for f in missing_files:
print(f" {f}")
print()
print(" Please run AMSS_NCKU_Program.py first to generate the simulation data. ")
print(" Exiting. ")
sys.exit(1)
print(" Found existing AMSS_NCKU_Program.py output data. " )
print(" Skipping all computation and going directly to plotting. " )
print()
## Ensure the figure directory exists (it should, but be safe)
os.makedirs(figure_directory, exist_ok=True)
##################################################################
## Plot the AMSS-NCKU program results
import plot_xiaoqu
import plot_GW_strain_amplitude_xiaoqu
from parallel_plot_helper import run_plot_tasks_parallel
plot_tasks = []
## Plot black hole trajectory
plot_tasks.append((plot_xiaoqu.generate_puncture_orbit_plot, (binary_results_directory, figure_directory)))
plot_tasks.append((plot_xiaoqu.generate_puncture_orbit_plot3D, (binary_results_directory, figure_directory)))
## Plot black hole separation vs. time
plot_tasks.append((plot_xiaoqu.generate_puncture_distence_plot, (binary_results_directory, figure_directory)))
## Plot gravitational waveforms (psi4 and strain amplitude)
for i in range(input_data.Detector_Number):
plot_tasks.append((plot_xiaoqu.generate_gravitational_wave_psi4_plot, (binary_results_directory, figure_directory, i)))
plot_tasks.append((plot_GW_strain_amplitude_xiaoqu.generate_gravitational_wave_amplitude_plot, (binary_results_directory, figure_directory, i)))
## Plot ADM mass evolution
for i in range(input_data.Detector_Number):
plot_tasks.append((plot_xiaoqu.generate_ADMmass_plot, (binary_results_directory, figure_directory, i)))
## Plot Hamiltonian constraint violation over time
for i in range(input_data.grid_level):
plot_tasks.append((plot_xiaoqu.generate_constraint_check_plot, (binary_results_directory, figure_directory, i)))
run_plot_tasks_parallel(plot_tasks)
## Plot stored binary data (runs serially, not in the parallel pool)
plot_xiaoqu.generate_binary_data_plot(binary_results_directory, figure_directory)
print()
print(" Plotting completed successfully. ")
print()
+276 -133
View File
@@ -1,10 +1,19 @@
#!/usr/bin/env python3
"""
AMSS-NCKU GW150914 Simulation Regression Test Script
AMSS-NCKU GW150914 Simulation Regression Test Script (Comprehensive Version)
Verification Requirements:
1. XY-plane trajectory RMS error < 1% (Optimized vs. baseline, max of BH1 and BH2)
2. ADM constraint violation < 2 (Grid Level 0)
Verification Requirements:
1. RMS errors < 1% for:
- 3D Vector Total RMS
- X Component RMS
- Y Component RMS
- Z Component RMS
2. ADM constraint violation < 2 (Grid Level 0)
3. The following figure PDFs must match GW150914-origin exactly after rasterization:
- ADM_Constraint_Grid_Level_0.pdf
- BH_Trajectory_21_XY.pdf
- BH_Trajectory_XY.pdf
The script also reports the percentage of differing pixels for each figure.
RMS Calculation Method:
- Computes trajectory deviation on the XY plane independently for BH1 and BH2
@@ -16,9 +25,13 @@ Default: output_dir = GW150914/AMSS_NCKU_output
Reference: GW150914-origin (baseline simulation)
"""
import numpy as np
import sys
import os
import numpy as np
import sys
import os
import shutil
import subprocess
import tempfile
from PIL import Image
# ANSI Color Codes
class Color:
@@ -45,91 +58,200 @@ def load_bh_trajectory(filepath):
}
def load_constraint_data(filepath):
"""Load constraint violation data"""
data = []
def load_constraint_data(filepath):
"""Load constraint violation data"""
data = []
with open(filepath, 'r') as f:
for line in f:
if line.startswith('#'):
continue
parts = line.split()
if len(parts) >= 8:
data.append([float(x) for x in parts[:8]])
return np.array(data)
data.append([float(x) for x in parts[:8]])
return np.array(data)
def resolve_figure_dir(path):
"""Resolve the sibling figure directory from an output or figure path."""
normalized = os.path.normpath(path)
if os.path.basename(normalized) == "figure":
return normalized
return os.path.join(os.path.dirname(normalized), "figure")
def render_pdf_to_images(pdf_path, dpi=150):
"""Render a PDF to RGB images using Ghostscript."""
gs_path = shutil.which("gs")
if gs_path is None:
raise RuntimeError("Ghostscript executable 'gs' was not found in PATH")
with tempfile.TemporaryDirectory(prefix="amss_verify_pdf_") as temp_dir:
output_pattern = os.path.join(temp_dir, "page-%03d.ppm")
cmd = [
gs_path,
"-q",
"-dSAFER",
"-dBATCH",
"-dNOPAUSE",
"-sDEVICE=ppmraw",
f"-r{dpi}",
f"-o{output_pattern}",
pdf_path
]
try:
subprocess.run(cmd, check=True, stdout=subprocess.DEVNULL, stderr=subprocess.PIPE, text=True)
except subprocess.CalledProcessError as exc:
message = exc.stderr.strip() or str(exc)
raise RuntimeError(f"Failed to render PDF '{pdf_path}': {message}") from exc
ppm_files = sorted(
os.path.join(temp_dir, filename)
for filename in os.listdir(temp_dir)
if filename.endswith(".ppm")
)
if not ppm_files:
raise RuntimeError(f"No rendered pages were produced for '{pdf_path}'")
images = []
for ppm_file in ppm_files:
with Image.open(ppm_file) as img:
images.append(np.array(img.convert("RGB"), dtype=np.uint8))
return images
def compare_rendered_pages(ref_img, target_img):
"""Return (different_pixels, total_pixels) for two rendered RGB pages."""
ref_h, ref_w = ref_img.shape[:2]
tgt_h, tgt_w = target_img.shape[:2]
total_pixels = max(ref_h, tgt_h) * max(ref_w, tgt_w)
if ref_h == tgt_h and ref_w == tgt_w:
different_pixels = int(np.count_nonzero(np.any(ref_img != target_img, axis=2)))
return different_pixels, total_pixels
diff_mask = np.ones((max(ref_h, tgt_h), max(ref_w, tgt_w)), dtype=bool)
overlap_h = min(ref_h, tgt_h)
overlap_w = min(ref_w, tgt_w)
overlap_diff = np.any(ref_img[:overlap_h, :overlap_w] != target_img[:overlap_h, :overlap_w], axis=2)
diff_mask[:overlap_h, :overlap_w] = overlap_diff
different_pixels = int(np.count_nonzero(diff_mask))
return different_pixels, total_pixels
def compare_pdf_images(ref_pdf, target_pdf, dpi=150, threshold_percent=0.001):
"""Compare two PDFs by rasterizing them and counting differing pixels."""
ref_pages = render_pdf_to_images(ref_pdf, dpi=dpi)
target_pages = render_pdf_to_images(target_pdf, dpi=dpi)
total_pixels = 0
different_pixels = 0
max_pages = max(len(ref_pages), len(target_pages))
for page_idx in range(max_pages):
if page_idx < len(ref_pages) and page_idx < len(target_pages):
page_diff, page_total = compare_rendered_pages(ref_pages[page_idx], target_pages[page_idx])
else:
existing_page = ref_pages[page_idx] if page_idx < len(ref_pages) else target_pages[page_idx]
page_total = existing_page.shape[0] * existing_page.shape[1]
page_diff = page_total
total_pixels += page_total
different_pixels += page_diff
diff_percent = (different_pixels / total_pixels * 100.0) if total_pixels else 0.0
return {
"different_pixels": different_pixels,
"total_pixels": total_pixels,
"diff_percent": diff_percent,
"pages_ref": len(ref_pages),
"pages_target": len(target_pages),
"passed": diff_percent < threshold_percent
}
def compare_required_figures(reference_figure_dir, target_figure_dir):
"""Compare the required GW150914 figure PDFs."""
figure_names = [
"ADM_Constraint_Grid_Level_0.pdf",
"BH_Trajectory_21_XY.pdf",
"BH_Trajectory_XY.pdf"
]
results = []
for figure_name in figure_names:
ref_pdf = os.path.join(reference_figure_dir, figure_name)
target_pdf = os.path.join(target_figure_dir, figure_name)
if not os.path.exists(ref_pdf):
raise FileNotFoundError(f"Reference figure not found: {ref_pdf}")
if not os.path.exists(target_pdf):
raise FileNotFoundError(f"Target figure not found: {target_pdf}")
comparison = compare_pdf_images(ref_pdf, target_pdf)
comparison["name"] = figure_name
results.append(comparison)
return results
def calculate_rms_error(bh_data_ref, bh_data_target):
def calculate_all_rms_errors(bh_data_ref, bh_data_target):
"""
Calculate trajectory-based RMS error on the XY plane between baseline and optimized simulations.
This function computes the RMS error independently for BH1 and BH2 trajectories,
then returns the maximum of the two as the final RMS error metric.
For each black hole, the RMS is calculated as:
RMS = sqrt( (1/M) * sum( (Δr_i / r_i^max)^2 ) ) × 100%
where:
Δr_i = sqrt((x_ref,i - x_new,i)^2 + (y_ref,i - y_new,i)^2)
r_i^max = max(sqrt(x_ref,i^2 + y_ref,i^2), sqrt(x_new,i^2 + y_new,i^2))
Args:
bh_data_ref: Reference (baseline) trajectory data
bh_data_target: Target (optimized) trajectory data
Returns:
rms_value: Final RMS error as a percentage (max of BH1 and BH2)
error: Error message if any
Calculate 3D Vector RMS and component-wise RMS (X, Y, Z) independently.
Uses r = sqrt(x^2 + y^2) as the denominator for all error normalizations.
Returns the maximum error between BH1 and BH2 for each category.
"""
# Align data: truncate to the length of the shorter dataset
M = min(len(bh_data_ref['time']), len(bh_data_target['time']))
if M < 10:
return None, "Insufficient data points for comparison"
# Extract XY coordinates for both black holes
x1_ref = bh_data_ref['x1'][:M]
y1_ref = bh_data_ref['y1'][:M]
x2_ref = bh_data_ref['x2'][:M]
y2_ref = bh_data_ref['y2'][:M]
results = {}
x1_new = bh_data_target['x1'][:M]
y1_new = bh_data_target['y1'][:M]
x2_new = bh_data_target['x2'][:M]
y2_new = bh_data_target['y2'][:M]
for bh in ['1', '2']:
x_r, y_r, z_r = bh_data_ref[f'x{bh}'][:M], bh_data_ref[f'y{bh}'][:M], bh_data_ref[f'z{bh}'][:M]
x_n, y_n, z_n = bh_data_target[f'x{bh}'][:M], bh_data_target[f'y{bh}'][:M], bh_data_target[f'z{bh}'][:M]
# Calculate RMS for BH1
delta_r1 = np.sqrt((x1_ref - x1_new)**2 + (y1_ref - y1_new)**2)
r1_ref = np.sqrt(x1_ref**2 + y1_ref**2)
r1_new = np.sqrt(x1_new**2 + y1_new**2)
r1_max = np.maximum(r1_ref, r1_new)
# 核心修改:根据组委会的邮件指示,分母统一使用 r = sqrt(x^2 + y^2)
r_ref = np.sqrt(x_r**2 + y_r**2)
r_new = np.sqrt(x_n**2 + y_n**2)
denom_max = np.maximum(r_ref, r_new)
# Calculate RMS for BH2
delta_r2 = np.sqrt((x2_ref - x2_new)**2 + (y2_ref - y2_new)**2)
r2_ref = np.sqrt(x2_ref**2 + y2_ref**2)
r2_new = np.sqrt(x2_new**2 + y2_new**2)
r2_max = np.maximum(r2_ref, r2_new)
valid = denom_max > 1e-15
if np.sum(valid) < 10:
results[f'BH{bh}'] = { '3D_Vector': 0.0, 'X_Component': 0.0, 'Y_Component': 0.0, 'Z_Component': 0.0 }
continue
# Avoid division by zero for BH1
valid_mask1 = r1_max > 1e-15
if np.sum(valid_mask1) < 10:
return None, "Insufficient valid data points for BH1"
def calc_rms(delta):
# 将对应分量的偏差除以统一的轨道半径分母 denom_max
return np.sqrt(np.mean((delta[valid] / denom_max[valid])**2)) * 100
terms1 = (delta_r1[valid_mask1] / r1_max[valid_mask1])**2
rms_bh1 = np.sqrt(np.mean(terms1)) * 100
# 1. Total 3D Vector RMS
delta_vec = np.sqrt((x_r - x_n)**2 + (y_r - y_n)**2 + (z_r - z_n)**2)
rms_3d = calc_rms(delta_vec)
# Avoid division by zero for BH2
valid_mask2 = r2_max > 1e-15
if np.sum(valid_mask2) < 10:
return None, "Insufficient valid data points for BH2"
# 2. Component-wise RMS (分离计算各轴,但共用半径分母)
rms_x = calc_rms(np.abs(x_r - x_n))
rms_y = calc_rms(np.abs(y_r - y_n))
rms_z = calc_rms(np.abs(z_r - z_n))
terms2 = (delta_r2[valid_mask2] / r2_max[valid_mask2])**2
rms_bh2 = np.sqrt(np.mean(terms2)) * 100
results[f'BH{bh}'] = {
'3D_Vector': rms_3d,
'X_Component': rms_x,
'Y_Component': rms_y,
'Z_Component': rms_z
}
# Final RMS is the maximum of BH1 and BH2
rms_final = max(rms_bh1, rms_bh2)
return rms_final, None
# 获取 BH1 BH2 中的最大误差
max_rms = {
'3D_Vector': max(results['BH1']['3D_Vector'], results['BH2']['3D_Vector']),
'X_Component': max(results['BH1']['X_Component'], results['BH2']['X_Component']),
'Y_Component': max(results['BH1']['Y_Component'], results['BH2']['Y_Component']),
'Z_Component': max(results['BH1']['Z_Component'], results['BH2']['Z_Component'])
}
return max_rms, None
def analyze_constraint_violation(constraint_data, n_levels=9):
"""
@@ -155,34 +277,32 @@ def analyze_constraint_violation(constraint_data, n_levels=9):
def print_header():
"""Print report header"""
print("\n" + Color.BLUE + Color.BOLD + "=" * 65 + Color.RESET)
print(Color.BOLD + " AMSS-NCKU GW150914 Simulation Regression Test Report" + Color.RESET)
print(Color.BOLD + " AMSS-NCKU GW150914 Comprehensive Regression Test" + Color.RESET)
print(Color.BLUE + Color.BOLD + "=" * 65 + Color.RESET)
def print_rms_results(rms_rel, error, threshold=1.0):
"""Print RMS error results"""
print(f"\n{Color.BOLD}1. RMS Error Analysis (Baseline vs Optimized){Color.RESET}")
print("-" * 45)
def print_rms_results(rms_dict, error, threshold=1.0):
print(f"\n{Color.BOLD}1. RMS Error Analysis (Maximums of BH1 & BH2){Color.RESET}")
print("-" * 65)
if error:
print(f" {Color.RED}Error: {error}{Color.RESET}")
return False
passed = rms_rel < threshold
all_passed = True
print(f" Requirement: < {threshold}%\n")
print(f" RMS relative error: {rms_rel:.4f}%")
print(f" Requirement: < {threshold}%")
print(f" Status: {get_status_text(passed)}")
for key, val in rms_dict.items():
passed = val < threshold
all_passed = all_passed and passed
status = get_status_text(passed)
print(f" {key:15}: {val:8.4f}% | Status: {status}")
return passed
return all_passed
def print_constraint_results(results, threshold=2.0):
"""Print constraint violation results"""
def print_constraint_results(results, threshold=2.0):
print(f"\n{Color.BOLD}2. ADM Constraint Violation Analysis (Grid Level 0){Color.RESET}")
print("-" * 45)
print("-" * 65)
names = ['Ham', 'Px', 'Py', 'Pz', 'Gx', 'Gy', 'Gz']
for i, name in enumerate(names):
@@ -195,23 +315,49 @@ def print_constraint_results(results, threshold=2.0):
print(f"\n Maximum violation: {results['max_violation']:.6f}")
print(f" Requirement: < {threshold}")
print(f" Status: {get_status_text(passed)}")
return passed
def print_summary(rms_passed, constraint_passed):
"""Print summary"""
print("\n" + Color.BLUE + Color.BOLD + "=" * 65 + Color.RESET)
print(Color.BOLD + "Verification Summary" + Color.RESET)
print(Color.BLUE + Color.BOLD + "=" * 65 + Color.RESET)
all_passed = rms_passed and constraint_passed
res_rms = get_status_text(rms_passed)
res_con = get_status_text(constraint_passed)
print(f" [1] RMS trajectory check: {res_rms}")
print(f" [2] ADM constraint check: {res_con}")
return passed
def print_figure_results(results, threshold_percent=0.001):
print(f"\n{Color.BOLD}3. Figure Pixel Comparison (PDF Rasterization){Color.RESET}")
print("-" * 65)
print(f" Requirement: < {threshold_percent:.3f}% differing pixels\n")
all_passed = True
for result in results:
passed = result["passed"]
all_passed = all_passed and passed
status = get_status_text(passed)
print(f" {result['name']:32}: {result['diff_percent']:10.6f}% | Status: {status}")
if result["pages_ref"] != result["pages_target"]:
print(f" {'':32} pages(ref/target): {result['pages_ref']}/{result['pages_target']}")
return all_passed
def print_figure_error(error_message):
print(f"\n{Color.BOLD}3. Figure Pixel Comparison (PDF Rasterization){Color.RESET}")
print("-" * 65)
print(f" {Color.RED}Error: {error_message}{Color.RESET}")
return False
def print_summary(rms_passed, constraint_passed, figure_passed):
print("\n" + Color.BLUE + Color.BOLD + "=" * 65 + Color.RESET)
print(Color.BOLD + "Verification Summary" + Color.RESET)
print(Color.BLUE + Color.BOLD + "=" * 65 + Color.RESET)
all_passed = rms_passed and constraint_passed and figure_passed
res_rms = get_status_text(rms_passed)
res_con = get_status_text(constraint_passed)
res_fig = get_status_text(figure_passed)
print(f" [1] Comprehensive RMS check: {res_rms}")
print(f" [2] ADM constraint check: {res_con}")
print(f" [3] Figure pixel comparison: {res_fig}")
final_status = f"{Color.GREEN}{Color.BOLD}ALL CHECKS PASSED{Color.RESET}" if all_passed else f"{Color.RED}{Color.BOLD}SOME CHECKS FAILED{Color.RESET}"
print(f"\n Overall result: {final_status}")
@@ -219,61 +365,58 @@ def print_summary(rms_passed, constraint_passed):
return all_passed
def main():
# Determine target (optimized) output directory
if len(sys.argv) > 1:
target_dir = sys.argv[1]
else:
script_dir = os.path.dirname(os.path.abspath(__file__))
target_dir = os.path.join(script_dir, "GW150914/AMSS_NCKU_output")
# Determine reference (baseline) directory
script_dir = os.path.dirname(os.path.abspath(__file__))
reference_dir = os.path.join(script_dir, "GW150914-origin/AMSS_NCKU_output")
script_dir = os.path.dirname(os.path.abspath(__file__))
reference_dir = os.path.join(script_dir, "GW150914-origin/AMSS_NCKU_output")
target_figure_dir = resolve_figure_dir(target_dir)
reference_figure_dir = os.path.join(script_dir, "GW150914-origin/figure")
bh_file_ref = os.path.join(reference_dir, "bssn_BH.dat")
bh_file_target = os.path.join(target_dir, "bssn_BH.dat")
constraint_file = os.path.join(target_dir, "bssn_constraint.dat")
# Data file paths
bh_file_ref = os.path.join(reference_dir, "bssn_BH.dat")
bh_file_target = os.path.join(target_dir, "bssn_BH.dat")
constraint_file = os.path.join(target_dir, "bssn_constraint.dat")
# Check if files exist
if not os.path.exists(bh_file_ref):
print(f"{Color.RED}{Color.BOLD}Error:{Color.RESET} Baseline trajectory file not found: {bh_file_ref}")
sys.exit(1)
if not os.path.exists(bh_file_target):
print(f"{Color.RED}{Color.BOLD}Error:{Color.RESET} Target trajectory file not found: {bh_file_target}")
sys.exit(1)
if not os.path.exists(constraint_file):
print(f"{Color.RED}{Color.BOLD}Error:{Color.RESET} Constraint data file not found: {constraint_file}")
sys.exit(1)
# Print header
print_header()
print(f"\n{Color.BOLD}Reference (Baseline):{Color.RESET} {Color.BLUE}{reference_dir}{Color.RESET}")
print(f"{Color.BOLD}Target (Optimized): {Color.RESET} {Color.BLUE}{target_dir}{Color.RESET}")
print_header()
print(f"\n{Color.BOLD}Reference (Baseline):{Color.RESET} {Color.BLUE}{reference_dir}{Color.RESET}")
print(f"{Color.BOLD}Target (Optimized): {Color.RESET} {Color.BLUE}{target_dir}{Color.RESET}")
print(f"{Color.BOLD}Reference Figures: {Color.RESET} {Color.BLUE}{reference_figure_dir}{Color.RESET}")
print(f"{Color.BOLD}Target Figures: {Color.RESET} {Color.BLUE}{target_figure_dir}{Color.RESET}")
# Load data
bh_data_ref = load_bh_trajectory(bh_file_ref)
bh_data_target = load_bh_trajectory(bh_file_target)
constraint_data = load_constraint_data(constraint_file)
# Calculate RMS error
rms_rel, error = calculate_rms_error(bh_data_ref, bh_data_target)
rms_passed = print_rms_results(rms_rel, error)
# Analyze constraint violation
constraint_results = analyze_constraint_violation(constraint_data)
constraint_passed = print_constraint_results(constraint_results)
# Print summary
all_passed = print_summary(rms_passed, constraint_passed)
# Return exit code
sys.exit(0 if all_passed else 1)
# Output modified RMS results
rms_dict, error = calculate_all_rms_errors(bh_data_ref, bh_data_target)
rms_passed = print_rms_results(rms_dict, error)
# Output constraint results
constraint_results = analyze_constraint_violation(constraint_data)
constraint_passed = print_constraint_results(constraint_results)
try:
figure_results = compare_required_figures(reference_figure_dir, target_figure_dir)
figure_passed = print_figure_results(figure_results)
except (FileNotFoundError, RuntimeError) as exc:
figure_passed = print_figure_error(str(exc))
all_passed = print_summary(rms_passed, constraint_passed, figure_passed)
sys.exit(0 if all_passed else 1)
if __name__ == "__main__":
main()
+15 -11
View File
@@ -198,16 +198,16 @@ int main(int argc, char *argv[])
if (myrank == 0)
{
string out_dir;
char filename[50];
map<string, string>::iterator iter;
iter = parameters::str_par.find("output dir");
if (iter != parameters::str_par.end())
{
out_dir = iter->second;
}
sprintf(filename, "%s/setting.par", out_dir.c_str());
ofstream setfile;
setfile.open(filename, ios::trunc);
string filename;
map<string, string>::iterator iter;
iter = parameters::str_par.find("output dir");
if (iter != parameters::str_par.end())
{
out_dir = iter->second;
}
filename = out_dir + "/setting.par";
ofstream setfile;
setfile.open(filename.c_str(), ios::trunc);
if (!setfile.good())
{
@@ -484,7 +484,11 @@ int main(int argc, char *argv[])
cout << endl;
}
delete ADM;
// Let the process teardown reclaim the simulation object. Some derived
// equation classes keep MPI/CUDA-backed state whose destructor ordering
// is fragile at program shutdown.
if (getenv("AMSS_DELETE_ADM_ON_EXIT"))
delete ADM;
//=======================caculation done=============================================================
+92 -33
View File
@@ -6,14 +6,68 @@
#include <cstdio>
#include <string>
#include <cmath>
#include <new>
using namespace std;
#include "Block.h"
#include "misc.h"
Block::Block(int DIM, int *shapei, double *bboxi, int ranki, int ingfsi, int fngfsi, int levi, const int cgpui) : rank(ranki), ingfs(ingfsi), fngfs(fngfsi), lev(levi), cgpu(cgpui)
{
#include <new>
using namespace std;
#include "Block.h"
#include "misc.h"
#if USE_CUDA_BSSN || USE_CUDA_Z4C
#include <cuda_runtime_api.h>
#endif
namespace {
bool cuda_pin_gridfuncs_enabled()
{
static int enabled = -1;
if (enabled < 0)
{
const char *env = getenv("AMSS_CUDA_PIN_GRIDFUNCS");
enabled = (env && atoi(env) != 0) ? 1 : 0;
}
return enabled != 0;
}
double *alloc_gridfunc(size_t count, unsigned char &pinned)
{
pinned = 0;
#if USE_CUDA_BSSN || USE_CUDA_Z4C
if (cuda_pin_gridfuncs_enabled())
{
double *ptr = 0;
cudaError_t err = cudaMallocHost((void **)&ptr, count * sizeof(double));
if (err == cudaSuccess)
{
pinned = 1;
return ptr;
}
cudaGetLastError();
}
#endif
return (double *)malloc(sizeof(double) * count);
}
void free_gridfunc(double *ptr, unsigned char pinned)
{
if (!ptr)
return;
#if USE_CUDA_BSSN || USE_CUDA_Z4C
if (pinned)
{
cudaFreeHost(ptr);
return;
}
#else
(void)pinned;
#endif
free(ptr);
}
}
Block::Block(int DIM, int *shapei, double *bboxi, int ranki, int ingfsi, int fngfsi, int levi, const int cgpui) : rank(ranki), lev(levi), cgpu(cgpui), ingfs(ingfsi), fngfs(fngfsi), igfs(0), fgfs(0), fgfs_pinned(0)
{
for (int i = 0; i < dim; i++)
X[i] = 0;
@@ -68,14 +122,15 @@ Block::Block(int DIM, int *shapei, double *bboxi, int ranki, int ingfsi, int fng
#endif
}
int nn = shape[0] * shape[1] * shape[2];
fgfs = new double *[fngfs];
for (int i = 0; i < fngfs; i++)
{
fgfs[i] = (double *)malloc(sizeof(double) * nn);
if (!(fgfs[i]))
{
cout << "on node#" << rank << ", out of memory when constructing Block." << endl;
int nn = shape[0] * shape[1] * shape[2];
fgfs = new double *[fngfs];
fgfs_pinned = new unsigned char[fngfs];
for (int i = 0; i < fngfs; i++)
{
fgfs[i] = alloc_gridfunc((size_t)nn, fgfs_pinned[i]);
if (!(fgfs[i]))
{
cout << "on node#" << rank << ", out of memory when constructing Block." << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
memset(fgfs[i], 0, sizeof(double) * nn);
@@ -103,17 +158,19 @@ Block::~Block()
{
for (int i = 0; i < dim; i++)
delete[] X[i];
for (int i = 0; i < ingfs; i++)
free(igfs[i]);
delete[] igfs;
for (int i = 0; i < fngfs; i++)
free(fgfs[i]);
delete[] fgfs;
X[0] = X[1] = X[2] = 0;
igfs = 0;
fgfs = 0;
}
}
for (int i = 0; i < ingfs; i++)
free(igfs[i]);
delete[] igfs;
for (int i = 0; i < fngfs; i++)
free_gridfunc(fgfs[i], fgfs_pinned ? fgfs_pinned[i] : 0);
delete[] fgfs;
delete[] fgfs_pinned;
X[0] = X[1] = X[2] = 0;
igfs = 0;
fgfs = 0;
fgfs_pinned = 0;
}
}
void Block::checkBlock()
{
int myrank;
@@ -184,12 +241,14 @@ void Block::swapList(MyList<var> *VarList1, MyList<var> *VarList2, int myrank)
if (rank == myrank)
{
MyList<var> *varl1 = VarList1, *varl2 = VarList2;
while (varl1 && varl2)
{
misc::swap<double *>(fgfs[varl1->data->sgfn], fgfs[varl2->data->sgfn]);
varl1 = varl1->next;
varl2 = varl2->next;
}
while (varl1 && varl2)
{
misc::swap<double *>(fgfs[varl1->data->sgfn], fgfs[varl2->data->sgfn]);
if (fgfs_pinned)
misc::swap<unsigned char>(fgfs_pinned[varl1->data->sgfn], fgfs_pinned[varl2->data->sgfn]);
varl1 = varl1->next;
varl2 = varl2->next;
}
if (varl1 || varl2)
{
cout << "error in Block::swaplist, var lists does not match." << endl;
+7 -6
View File
@@ -13,14 +13,15 @@ public:
int shape[dim];
double bbox[2 * dim];
double *X[dim];
int rank; // where the real data locate in
int lev, cgpu;
int ingfs, fngfs;
int *(*igfs);
double *(*fgfs);
int rank; // where the real data locate in
int lev, cgpu;
int ingfs, fngfs;
int *(*igfs);
double *(*fgfs);
unsigned char *fgfs_pinned;
public:
Block() {};
Block() : rank(0), lev(0), cgpu(0), ingfs(0), fngfs(0), igfs(0), fgfs(0), fgfs_pinned(0) {};
Block(int DIM, int *shapei, double *bboxi, int ranki, int ingfsi, int fngfs, int levi, const int cgpui = 0);
~Block();
+860 -171
View File
File diff suppressed because it is too large Load Diff
+9428 -6484
View File
File diff suppressed because it is too large Load Diff
+29 -1
View File
@@ -32,6 +32,16 @@ namespace Parallel
int partition2(int *nxy, int split_size, int *min_width, int cpusize, int *shape); // special for 2 diemnsions
int partition3(int *nxyz, int split_size, int *min_width, int cpusize, int *shape);
MyList<Block> *distribute(MyList<Patch> *PatchLIST, int cpusize, int ingfsi, int fngfs, bool periodic, int nodes = 0); // produce corresponding Blocks
MyList<Block> *distribute_optimize(MyList<Patch> *PatchLIST, int cpusize, int ingfsi, int fngfs, bool periodic, int nodes = 0);
Block* splitHotspotBlock(MyList<Block>* &BlL, int _dim,
int ib0_orig, int ib3_orig,
int jb1_orig, int jb4_orig,
int kb2_orig, int kb5_orig,
Patch* PP, int r_left, int r_right,
int ingfsi, int fngfsi, bool periodic,
Block* &split_first_block, Block* &split_last_block);
Block* createMappedBlock(MyList<Block>* &BlL, int _dim, int* shape, double* bbox,
int block_id, int ingfsi, int fngfsi, int lev);
void KillBlocks(MyList<Patch> *PatchLIST);
void setfunction(MyList<Block> *BlL, var *vn, double func(double x, double y, double z));
@@ -94,16 +104,29 @@ namespace Parallel
double **recv_bufs;
int *send_buf_caps;
int *recv_buf_caps;
unsigned char *send_buf_pinned;
unsigned char *recv_buf_pinned;
unsigned char *send_buf_is_dev;
unsigned char *recv_buf_is_dev;
int *send_buf_caps_dev;
int *recv_buf_caps_dev;
double **send_bufs_dev;
double **recv_bufs_dev;
MPI_Request *reqs;
MPI_Status *stats;
int max_reqs;
bool lengths_valid;
int *tc_req_node;
int *tc_req_is_recv;
int *tc_completed;
bool cuda_aware_mode;
SyncCache();
void invalidate();
void destroy();
};
void Sync_cached(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry, SyncCache &cache);
void Sync_ensure_cache(MyList<Patch> *PatL, int Symmetry, SyncCache &cache);
void transfer_cached(MyList<gridseg> **src, MyList<gridseg> **dst,
MyList<var> *VarList1, MyList<var> *VarList2,
int Symmetry, SyncCache &cache);
@@ -111,7 +134,10 @@ namespace Parallel
struct AsyncSyncState {
int req_no;
bool active;
AsyncSyncState() : req_no(0), active(false) {}
int *req_node;
int *req_is_recv;
int pending_recv;
AsyncSyncState() : req_no(0), active(false), req_node(0), req_is_recv(0), pending_recv(0) {}
};
void Sync_start(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry,
@@ -167,6 +193,7 @@ namespace Parallel
MyList<Parallel::gridseg> **out_src, MyList<Parallel::gridseg> **out_dst);
void PeriodicBD(Patch *Pat, MyList<var> *VarList, int Symmetry);
double L2Norm(Patch *Pat, var *vf);
void L2Norm7(Patch *Pat, var **vf, double *norms);
void checkgsl(MyList<Parallel::gridseg> *pp, bool first_only);
void checkvarl(MyList<var> *pp, bool first_only);
MyList<Parallel::gridseg> *divide_gsl(MyList<Parallel::gridseg> *p, Patch *Pat);
@@ -202,6 +229,7 @@ namespace Parallel
void checkpatchlist(MyList<Patch> *PatL, bool buflog);
double L2Norm(Patch *Pat, var *vf, MPI_Comm Comm_here);
void L2Norm7(Patch *Pat, var **vf, double *norms, MPI_Comm Comm_here);
bool PatList_Interp_Points(MyList<Patch> *PatL, MyList<var> *VarList,
int NN, double **XX,
double *Shellf, int Symmetry, MPI_Comm Comm_here);
+4946 -3585
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+17
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@@ -102,6 +102,16 @@ public:
//-1: means no dumy dimension at all; 0: means rho; 1: means sigma
};
// Thread-safe search result (no pointers to shared mutable state)
struct PointSearchResult
{
bool found;
Block *Bg;
double gx, gy, gz; // global Cartesian coordinates
double lx, ly, lz; // local coordinates within the found block
int ssst; // source shell-patch type (-1 = Cartesian)
};
int myrank;
int shape[dim]; // for (rho, sigma, R), for rho and sigma means number of points for every pi/2
double Rrange[2]; // for Rmin and Rmax
@@ -175,6 +185,12 @@ public:
MyList<Patch> *Pp, double CDH[dim], MyList<pointstru> *pss);
bool prolongpointstru(MyList<pointstru> *&psul, bool ssyn, int tsst, MyList<ss_patch> *sPp, double DH[dim],
MyList<Patch> *Pp, double CDH[dim], double x, double y, double z, int Symmetry, int rank_in);
// Read-only point search — thread-safe (no shared mutable state modified)
PointSearchResult prolongpointstru_search(bool ssyn, int tsst, MyList<ss_patch> *sPp, double DH[dim],
MyList<Patch> *Pp, double CDH[dim], double x, double y, double z,
int Symmetry, int rank_in);
// Append a search result to a linked list — use inside omp critical section
void prolongpointstru_append(MyList<pointstru> *&psul, const PointSearchResult &sr, int tsst);
void setupintintstuff(int cpusize, MyList<Patch> *CPatL, int Symmetry);
void intertransfer(MyList<pointstru> **src, MyList<pointstru> **dst,
MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /*target */,
@@ -198,6 +214,7 @@ public:
void write_Pablo_file_ss(int *ext, double xmin, double xmax, double ymin, double ymax, double zmin, double zmax,
char *filename, int sst);
double L2Norm(var *vf);
void L2Norm7(var **vf, double *norms);
void Find_Maximum(MyList<var> *VarList, double *XX, double *Shellf);
};
+727 -26
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@@ -3,6 +3,7 @@
#include <sstream>
#include <cstdio>
#include <map>
#include <string>
using namespace std;
#else
#include <stdio.h>
@@ -28,6 +29,20 @@ using namespace std;
#include "kodiss.h"
#include "parameters.h"
#ifndef USE_CUDA_Z4C
#define USE_CUDA_Z4C 0
#endif
#if USE_CUDA_Z4C && (ABEtype == 2)
#include "z4c_rhs_cuda.h"
#endif
#if USE_CUDA_BSSN
#include "bssn_rhs_cuda.h"
#ifdef WithShell
#include "bssn_gpu.h"
#endif
#endif
#ifdef With_AHF
#include "derivatives.h"
#include "myglobal.h"
@@ -37,6 +52,81 @@ using namespace std;
// Define Z4c_class
#if USE_CUDA_Z4C && (ABEtype == 2) && defined(WithShell)
// GPU-accelerated Z4C shell RHS: same parameter signature as f_compute_rhs_Z4c_ss.
// Internally calls gpu_rhs_z4c_ss which modifies trK→trKd before upload,
// runs BSSN algebraic kernels, then applies Z4C post-processing (TZ_rhs, damping).
extern "C" {
static int cuda_compute_rhs_z4c_ss(
int *ex, double &T, double *crho, double *sigma, double *R,
double *X, double *Y, double *Z,
double *drhodx, double *drhody, double *drhodz,
double *dsigmadx, double *dsigmady, double *dsigmadz,
double *dRdx, double *dRdy, double *dRdz,
double *drhodxx, double *drhodxy, double *drhodxz, double *drhodyy, double *drhodyz, double *drhodzz,
double *dsigmadxx, double *dsigmadxy, double *dsigmadxz, double *dsigmadyy, double *dsigmadyz, double *dsigmadzz,
double *dRdxx, double *dRdxy, double *dRdxz, double *dRdyy, double *dRdyz, double *dRdzz,
double *chi, double *trK,
double *gxx, double *gxy, double *gxz, double *gyy, double *gyz, double *gzz,
double *Axx, double *Axy, double *Axz, double *Ayy, double *Ayz, double *Azz,
double *Gamx, double *Gamy, double *Gamz,
double *Lap, double *betax, double *betay, double *betaz,
double *dtSfx, double *dtSfy, double *dtSfz,
double *TZ,
double *chi_rhs, double *trK_rhs,
double *gxx_rhs, double *gxy_rhs, double *gxz_rhs, double *gyy_rhs, double *gyz_rhs, double *gzz_rhs,
double *Axx_rhs, double *Axy_rhs, double *Axz_rhs, double *Ayy_rhs, double *Ayz_rhs, double *Azz_rhs,
double *Gamx_rhs, double *Gamy_rhs, double *Gamz_rhs,
double *Lap_rhs, double *betax_rhs, double *betay_rhs, double *betaz_rhs,
double *dtSfx_rhs, double *dtSfy_rhs, double *dtSfz_rhs,
double *TZ_rhs,
double *rho_mat, double *Sx, double *Sy, double *Sz,
double *Sxx, double *Sxy, double *Sxz, double *Syy, double *Syz, double *Szz,
double *Gamxxx, double *Gamxxy, double *Gamxxz, double *Gamxyy, double *Gamxyz, double *Gamxzz,
double *Gamyxx, double *Gamyxy, double *Gamyxz, double *Gamyyy, double *Gamyyz, double *Gamyzz,
double *Gamzxx, double *Gamzxy, double *Gamzxz, double *Gamzyy, double *Gamzyz, double *Gamzzz,
double *Rxx, double *Rxy, double *Rxz, double *Ryy, double *Ryz, double *Rzz,
double *ham_Res, double *movx_Res, double *movy_Res, double *movz_Res,
double *Gmx_Res, double *Gmy_Res, double *Gmz_Res,
int &Symmetry, int &Lev, double &eps, int &sst, int &co)
{
return gpu_rhs_z4c_ss(0, 0, // calledby=ABE_main, mpi_rank=device_0
ex, T, crho, sigma, R, X, Y, Z,
drhodx, drhody, drhodz,
dsigmadx, dsigmady, dsigmadz,
dRdx, dRdy, dRdz,
drhodxx, drhodxy, drhodxz, drhodyy, drhodyz, drhodzz,
dsigmadxx, dsigmadxy, dsigmadxz, dsigmadyy, dsigmadyz, dsigmadzz,
dRdxx, dRdxy, dRdxz, dRdyy, dRdyz, dRdzz,
chi, trK,
gxx, gxy, gxz, gyy, gyz, gzz,
Axx, Axy, Axz, Ayy, Ayz, Azz,
Gamx, Gamy, Gamz,
Lap, betax, betay, betaz,
dtSfx, dtSfy, dtSfz,
TZ,
chi_rhs, trK_rhs,
gxx_rhs, gxy_rhs, gxz_rhs, gyy_rhs, gyz_rhs, gzz_rhs,
Axx_rhs, Axy_rhs, Axz_rhs, Ayy_rhs, Ayz_rhs, Azz_rhs,
Gamx_rhs, Gamy_rhs, Gamz_rhs,
Lap_rhs, betax_rhs, betay_rhs, betaz_rhs,
dtSfx_rhs, dtSfy_rhs, dtSfz_rhs,
TZ_rhs,
rho_mat, Sx, Sy, Sz,
Sxx, Sxy, Sxz, Syy, Syz, Szz,
Gamxxx, Gamxxy, Gamxxz, Gamxyy, Gamxyz, Gamxzz,
Gamyxx, Gamyxy, Gamyxz, Gamyyy, Gamyyz, Gamyzz,
Gamzxx, Gamzxy, Gamzxz, Gamzyy, Gamzyz, Gamzzz,
Rxx, Rxy, Rxz, Ryy, Ryz, Rzz,
ham_Res, movx_Res, movy_Res, movz_Res,
Gmx_Res, Gmy_Res, Gmz_Res,
Symmetry, Lev, eps, sst, co);
}
}
// Redirect all Z4C shell RHS calls in Step/SHStep to GPU
#define f_compute_rhs_Z4c_ss cuda_compute_rhs_z4c_ss
#endif
// This class inherits some members and methods from the parent `bssn_class` and modifies others.
// The modified members and methods are defined below (and in the header Z4c_class.h).
// The remaining members/methods are inherited from `bssn_class` (declared in bssn_class.h).
@@ -132,6 +222,13 @@ void Z4c_class::Initialize()
PhysTime = StartTime;
Setup_Black_Hole_position();
}
sync_cache_pre = new Parallel::SyncCache[GH->levels];
sync_cache_cor = new Parallel::SyncCache[GH->levels];
sync_cache_rp_coarse = new Parallel::SyncCache[GH->levels];
sync_cache_rp_fine = new Parallel::SyncCache[GH->levels];
sync_cache_restrict = new Parallel::SyncCache[GH->levels];
sync_cache_outbd = new Parallel::SyncCache[GH->levels];
}
//================================================================================================
@@ -165,13 +262,581 @@ Z4c_class::~Z4c_class()
//================================================================================================
#define MRBD 0 // 0: fix BD for meshrefinement level; 1: sommerfeld_bam for them; 2: sommerfeld_yo for them
#ifndef AMSS_Z4C_MRBD
#define AMSS_Z4C_MRBD 0
#endif
#define MRBD AMSS_Z4C_MRBD // 0: fix BD for meshrefinement level; 1: sommerfeld_bam for them; 2: sommerfeld_yo for them
#ifndef CPBC
// for sommerfeld boundary
#if USE_CUDA_Z4C && (ABEtype == 2)
#if (MRBD == 2)
#error "USE_CUDA_Z4C resident path does not support MRBD == 2"
#endif
namespace {
static const int k_z4c_cuda_bh_state_indices[3] = {18, 19, 20};
bool fill_z4c_cuda_views(Block *cg, MyList<var> *vars,
double **host_views,
double *propspeeds = 0,
double *soa_flat = 0)
{
int idx = 0;
while (vars && idx < Z4C_CUDA_STATE_COUNT)
{
host_views[idx] = cg->fgfs[vars->data->sgfn];
if (propspeeds)
propspeeds[idx] = vars->data->propspeed;
if (soa_flat)
{
soa_flat[3 * idx + 0] = vars->data->SoA[0];
soa_flat[3 * idx + 1] = vars->data->SoA[1];
soa_flat[3 * idx + 2] = vars->data->SoA[2];
}
vars = vars->next;
++idx;
}
return idx == Z4C_CUDA_STATE_COUNT && vars == 0;
}
void z4c_cuda_download_level_state(MyList<Patch> *PatL, MyList<var> *vars, int myrank, bool release_ctx)
{
MyList<Patch> *Pp = PatL;
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
if (myrank == cg->rank && z4c_cuda_has_resident_state(cg))
{
double *state_out[Z4C_CUDA_STATE_COUNT];
if (!fill_z4c_cuda_views(cg, vars, state_out))
{
cout << "CUDA Z4C state list mismatch on resident state download" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
if (z4c_cuda_download_resident_state(cg, cg->shape, state_out))
{
cout << "CUDA Z4C resident state download failed" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
if (release_ctx)
z4c_cuda_release_step_ctx(cg);
}
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
}
bool z4c_cuda_patch_contains_point(Patch *patch, const double *point)
{
if (!patch)
return false;
for (int d = 0; d < dim; d++)
{
const double h = patch->getdX(d);
const double lo = patch->bbox[d] + patch->lli[d] * h;
const double hi = patch->bbox[dim + d] - patch->uui[d] * h;
if (point[d] < lo || point[d] > hi)
return false;
}
return true;
}
bool z4c_cuda_point_in_block(Patch *patch, Block *block,
const double *point, const double *DH)
{
if (!patch || !block)
return false;
for (int d = 0; d < dim; d++)
{
double llb;
double uub;
#ifdef Vertex
#ifdef Cell
#error Both Cell and Vertex are defined
#endif
llb = (feq(block->bbox[d], patch->bbox[d], DH[d] / 2))
? block->bbox[d] + patch->lli[d] * DH[d]
: block->bbox[d] + (ghost_width - 0.5) * DH[d];
uub = (feq(block->bbox[dim + d], patch->bbox[dim + d], DH[d] / 2))
? block->bbox[dim + d] - patch->uui[d] * DH[d]
: block->bbox[dim + d] - (ghost_width - 0.5) * DH[d];
#else
#ifdef Cell
llb = (feq(block->bbox[d], patch->bbox[d], DH[d] / 2))
? block->bbox[d] + patch->lli[d] * DH[d]
: block->bbox[d] + ghost_width * DH[d];
uub = (feq(block->bbox[dim + d], patch->bbox[dim + d], DH[d] / 2))
? block->bbox[dim + d] - patch->uui[d] * DH[d]
: block->bbox[dim + d] - ghost_width * DH[d];
#else
#error Not define Vertex nor Cell
#endif
#endif
if (point[d] - llb < -DH[d] / 2 || point[d] - uub > DH[d] / 2)
return false;
}
return true;
}
int z4c_cuda_interp_tile_start(const double *coords, int n, double x, double dx, int ordn)
{
if (!coords || n <= ordn)
return 0;
int cxi = int((x - coords[0]) / dx + 0.4) + 1;
int start = cxi - ordn / 2;
if (start < 0)
start = 0;
const int max_start = n - ordn;
if (start > max_start)
start = max_start;
return start;
}
bool z4c_cuda_interp_bh_point_resident(MyList<Patch> *PatL,
int myrank,
const double *point,
var *forx, var *fory, var *forz,
int Symmetry,
double *shellf)
{
const int ordn = 2 * ghost_width;
int owner_rank = -1;
shellf[0] = shellf[1] = shellf[2] = 0.0;
MyList<Patch> *PL = PatL;
while (PL)
{
Patch *patch = PL->data;
if (!z4c_cuda_patch_contains_point(patch, point))
{
PL = PL->next;
continue;
}
double DH[dim];
for (int d = 0; d < dim; d++)
DH[d] = patch->getdX(d);
MyList<Block> *BP = patch->blb;
while (BP)
{
Block *block = BP->data;
if (z4c_cuda_point_in_block(patch, block, point, DH))
{
owner_rank = block->rank;
if (myrank == owner_rank)
{
int interp_ordn = ordn;
int interp_sym = Symmetry;
double x = point[0];
double y = point[1];
double z = point[2];
if (z4c_cuda_has_resident_state(block) &&
block->shape[0] >= ordn && block->shape[1] >= ordn && block->shape[2] >= ordn)
{
const int sx = ordn;
const int sy = ordn;
const int sz = ordn;
const int region_all = sx * sy * sz;
const int i0 = z4c_cuda_interp_tile_start(block->X[0], block->shape[0], x, DH[0], ordn);
const int j0 = z4c_cuda_interp_tile_start(block->X[1], block->shape[1], y, DH[1], ordn);
const int k0 = z4c_cuda_interp_tile_start(block->X[2], block->shape[2], z, DH[2], ordn);
double *packed_fields = new double[3 * region_all];
var *vars[3] = {forx, fory, forz};
for (int f = 0; f < 3; f++)
{
if (z4c_cuda_pack_state_region_to_host_buffer(block,
k_z4c_cuda_bh_state_indices[f],
packed_fields + f * region_all,
block->shape,
i0, j0, k0,
sx, sy, sz) != 0)
{
delete[] packed_fields;
cout << "CUDA Z4C BH tile download failed" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
int tile_shape[3] = {sx, sy, sz};
f_global_interp(tile_shape,
block->X[0] + i0,
block->X[1] + j0,
block->X[2] + k0,
packed_fields + f * region_all,
shellf[f],
x, y, z,
interp_ordn,
vars[f]->SoA,
interp_sym);
}
delete[] packed_fields;
}
else
{
f_global_interp(block->shape, block->X[0], block->X[1], block->X[2],
block->fgfs[forx->sgfn], shellf[0],
x, y, z, interp_ordn, forx->SoA, interp_sym);
f_global_interp(block->shape, block->X[0], block->X[1], block->X[2],
block->fgfs[fory->sgfn], shellf[1],
x, y, z, interp_ordn, fory->SoA, interp_sym);
f_global_interp(block->shape, block->X[0], block->X[1], block->X[2],
block->fgfs[forz->sgfn], shellf[2],
x, y, z, interp_ordn, forz->SoA, interp_sym);
}
}
break;
}
if (BP == patch->ble)
break;
BP = BP->next;
}
if (owner_rank >= 0)
break;
PL = PL->next;
}
if (owner_rank < 0)
return false;
MPI_Bcast(shellf, 3, MPI_DOUBLE, owner_rank, MPI_COMM_WORLD);
return true;
}
bool z4c_cuda_compute_porg_rhs_resident(cgh *GH,
int ilev,
int myrank,
int BH_num,
double **BH_PS,
double **BH_RHS,
var *forx, var *fory, var *forz,
int Symmetry)
{
for (int n = 0; n < BH_num; n++)
{
double shellf[3] = {0.0, 0.0, 0.0};
int lev = ilev;
while (lev >= 0 &&
!z4c_cuda_interp_bh_point_resident(GH->PatL[lev], myrank, BH_PS[n],
forx, fory, forz, Symmetry, shellf))
{
--lev;
}
if (lev < 0)
return false;
BH_RHS[n][0] = -shellf[0];
BH_RHS[n][1] = -shellf[1];
BH_RHS[n][2] = -shellf[2];
}
return true;
}
bool z4c_cuda_resident_step_enabled()
{
static int enabled = -1;
if (enabled < 0)
{
const char *env = getenv("AMSS_Z4C_CUDA_RESIDENT");
enabled = (env && atoi(env) != 0) ? 1 : 0;
}
return enabled != 0;
}
} // namespace
#endif
void Z4c_class::Step(int lev, int YN)
{
#if USE_CUDA_Z4C && (ABEtype == 2)
double dT_lev = dT * pow(0.5, Mymax(lev, trfls));
#ifdef With_AHF
AH_Step_Find(lev, dT_lev);
#endif
bool BB = fgt(PhysTime, StartTime, dT_lev / 2);
double ndeps = numepss;
if (lev < GH->movls)
ndeps = numepsb;
double TRK4 = PhysTime;
int iter_count = 0;
int pre = 0, cor = 1;
int ERROR = 0;
#ifdef WithShell
if (bssn_cuda_use_resident_sync(lev))
{
for (int dl = 0; dl < GH->levels; dl++)
bssn_cuda_download_level_state_if_present(GH->PatL[dl], StateList, myrank);
}
#endif
MyList<Patch> *Pp = GH->PatL[lev];
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
if (myrank == cg->rank)
{
double *state_in[Z4C_CUDA_STATE_COUNT];
double *state_out[Z4C_CUDA_STATE_COUNT];
double propspeed[Z4C_CUDA_STATE_COUNT];
double soa_flat[3 * Z4C_CUDA_STATE_COUNT];
if (!fill_z4c_cuda_views(cg, StateList, state_in, propspeed, soa_flat) ||
!fill_z4c_cuda_views(cg, SynchList_pre, state_out))
{
cout << "CUDA Z4C state list mismatch on predictor step" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
int apply_bam_bc = 0;
#if (MRBD == 0)
#if (SommerType == 0)
apply_bam_bc = (lev == 0) ? 1 : 0;
#endif
#elif (MRBD == 1)
apply_bam_bc = 1;
#endif
int keep_resident_state = z4c_cuda_resident_step_enabled() ? 1 : 0;
int apply_enforce_ga = 0;
#if (AGM == 0)
apply_enforce_ga = 1;
#endif
if (z4c_cuda_rk4_substep(cg,
cg->shape, cg->X[0], cg->X[1], cg->X[2],
state_in, state_out,
propspeed, soa_flat, Pp->data->bbox,
dT_lev, TRK4, iter_count, apply_bam_bc,
Symmetry, lev, ndeps, pre,
keep_resident_state, apply_enforce_ga, chitiny))
{
cout << "CUDA Z4C predictor substep failed in domain: ("
<< cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
}
}
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
{
int erh = ERROR;
MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
if (ERROR)
{
if (myrank == 0 && ErrorMonitor->outfile)
ErrorMonitor->outfile << "CUDA Z4C failed in predictor at t = " << PhysTime
<< ", lev = " << lev << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
Parallel::Sync_cached(GH->PatL[lev], SynchList_pre, Symmetry, sync_cache_pre[lev]);
if (BH_num > 0 && lev == GH->levels - 1)
{
compute_Porg_rhs(Porg0, Porg_rhs, Sfx0, Sfy0, Sfz0, lev);
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][0], Porg[ithBH][0], Porg_rhs[ithBH][0], iter_count);
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][1], Porg[ithBH][1], Porg_rhs[ithBH][1], iter_count);
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][2], Porg[ithBH][2], Porg_rhs[ithBH][2], iter_count);
if (Symmetry > 0)
Porg[ithBH][2] = fabs(Porg[ithBH][2]);
if (Symmetry == 2)
{
Porg[ithBH][0] = fabs(Porg[ithBH][0]);
Porg[ithBH][1] = fabs(Porg[ithBH][1]);
}
}
}
if ((lev == a_lev) && (LastAnas + dT_lev >= AnasTime))
z4c_cuda_download_level_state(GH->PatL[lev], SynchList_pre, myrank, false);
if (lev == a_lev)
AnalysisStuff(lev, dT_lev);
for (iter_count = 1; iter_count < 4; iter_count++)
{
if (iter_count == 1 || iter_count == 3)
TRK4 += dT_lev / 2;
Pp = GH->PatL[lev];
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
if (myrank == cg->rank)
{
double *state_in[Z4C_CUDA_STATE_COUNT];
double *state_out[Z4C_CUDA_STATE_COUNT];
double propspeed[Z4C_CUDA_STATE_COUNT];
double soa_flat[3 * Z4C_CUDA_STATE_COUNT];
if (!fill_z4c_cuda_views(cg, SynchList_pre, state_in, propspeed, soa_flat) ||
!fill_z4c_cuda_views(cg, SynchList_cor, state_out))
{
cout << "CUDA Z4C state list mismatch on corrector step" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
int apply_bam_bc = 0;
#if (MRBD == 0)
#if (SommerType == 0)
apply_bam_bc = (lev == 0) ? 1 : 0;
#endif
#elif (MRBD == 1)
apply_bam_bc = 1;
#endif
int keep_resident_state = z4c_cuda_resident_step_enabled() ? 1 : 0;
int apply_enforce_ga = 0;
#if (AGM == 0)
apply_enforce_ga = 1;
#elif (AGM == 1)
apply_enforce_ga = (iter_count == 3) ? 1 : 0;
#endif
if (z4c_cuda_rk4_substep(cg,
cg->shape, cg->X[0], cg->X[1], cg->X[2],
state_in, state_out,
propspeed, soa_flat, Pp->data->bbox,
dT_lev, TRK4, iter_count, apply_bam_bc,
Symmetry, lev, ndeps, cor,
keep_resident_state, apply_enforce_ga, chitiny))
{
cout << "CUDA Z4C corrector substep failed in domain: ("
<< cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
}
}
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
{
int erh = ERROR;
MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
if (ERROR)
{
if (myrank == 0 && ErrorMonitor->outfile)
ErrorMonitor->outfile << "CUDA Z4C failed in RK4 substep#" << iter_count
<< " at t = " << PhysTime
<< ", lev = " << lev << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
Parallel::Sync_cached(GH->PatL[lev], SynchList_cor, Symmetry, sync_cache_cor[lev]);
if (BH_num > 0 && lev == GH->levels - 1)
{
if (z4c_cuda_resident_step_enabled())
{
if (!z4c_cuda_compute_porg_rhs_resident(GH, lev, myrank, BH_num,
Porg, Porg1,
Sfx, Sfy, Sfz, Symmetry))
{
if (myrank == 0 && ErrorMonitor->outfile)
ErrorMonitor->outfile << "CUDA Z4C failed to interpolate black-hole shift at t = "
<< PhysTime << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
else
{
compute_Porg_rhs(Porg, Porg1, Sfx, Sfy, Sfz, lev);
}
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][0], Porg1[ithBH][0], Porg_rhs[ithBH][0], iter_count);
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][1], Porg1[ithBH][1], Porg_rhs[ithBH][1], iter_count);
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][2], Porg1[ithBH][2], Porg_rhs[ithBH][2], iter_count);
if (Symmetry > 0)
Porg1[ithBH][2] = fabs(Porg1[ithBH][2]);
if (Symmetry == 2)
{
Porg1[ithBH][0] = fabs(Porg1[ithBH][0]);
Porg1[ithBH][1] = fabs(Porg1[ithBH][1]);
}
}
}
if (iter_count < 3)
{
Pp = GH->PatL[lev];
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
cg->swapList(SynchList_pre, SynchList_cor, myrank);
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
if (BH_num > 0 && lev == GH->levels - 1)
{
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
Porg[ithBH][0] = Porg1[ithBH][0];
Porg[ithBH][1] = Porg1[ithBH][1];
Porg[ithBH][2] = Porg1[ithBH][2];
}
}
}
}
z4c_cuda_download_level_state(GH->PatL[lev], SynchList_cor, myrank, false);
#if (RPS == 0)
RestrictProlong(lev, YN, BB);
#endif
Pp = GH->PatL[lev];
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
cg->swapList(StateList, SynchList_cor, myrank);
cg->swapList(OldStateList, SynchList_cor, myrank);
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
if (BH_num > 0 && lev == GH->levels - 1)
{
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
Porg0[ithBH][0] = Porg1[ithBH][0];
Porg0[ithBH][1] = Porg1[ithBH][1];
Porg0[ithBH][2] = Porg1[ithBH][2];
}
}
#else
double dT_lev = dT * pow(0.5, Mymax(lev, trfls));
#ifdef With_AHF
AH_Step_Find(lev, dT_lev);
@@ -339,6 +1004,13 @@ void Z4c_class::Step(int lev, int YN)
}
#ifdef WithShell
#if USE_CUDA_Z4C
if (bssn_cuda_use_resident_sync(lev))
{
for (int dl = 0; dl < GH->levels; dl++)
bssn_cuda_download_level_state_if_present(GH->PatL[dl], StateList, myrank);
}
#endif
// evolve Shell Patches
if (lev == 0)
{
@@ -485,7 +1157,25 @@ void Z4c_class::Step(int lev, int YN)
}
#endif
// CA-RK4: skip post-prediction sync (redundant; ghost cells computable locally)
Parallel::Sync(GH->PatL[lev], SynchList_pre, Symmetry);
#ifdef WithShell
if (lev == 0)
{
clock_t prev_clock, curr_clock;
if (myrank == 0)
curr_clock = clock();
SH->Synch(SynchList_pre, Symmetry);
if (myrank == 0)
{
prev_clock = curr_clock;
curr_clock = clock();
cout << " Shell stuff synchronization used "
<< (double)(curr_clock - prev_clock) / ((double)CLOCKS_PER_SEC)
<< " seconds! " << endl;
}
}
#endif
// for black hole position
if (BH_num > 0 && lev == GH->levels - 1)
@@ -850,28 +1540,25 @@ void Z4c_class::Step(int lev, int YN)
}
#endif
// CA-RK4: only sync after last corrector (iter_count == 3); stages 1 & 2 are redundant
if (iter_count == 3) {
Parallel::Sync(GH->PatL[lev], SynchList_cor, Symmetry);
Parallel::Sync(GH->PatL[lev], SynchList_cor, Symmetry);
#ifdef WithShell
if (lev == 0)
if (lev == 0)
{
clock_t prev_clock, curr_clock;
if (myrank == 0)
curr_clock = clock();
SH->Synch(SynchList_cor, Symmetry);
if (myrank == 0)
{
clock_t prev_clock, curr_clock;
if (myrank == 0)
curr_clock = clock();
SH->Synch(SynchList_cor, Symmetry);
if (myrank == 0)
{
prev_clock = curr_clock;
curr_clock = clock();
cout << " Shell stuff synchronization used "
<< (double)(curr_clock - prev_clock) / ((double)CLOCKS_PER_SEC)
<< " seconds! " << endl;
}
prev_clock = curr_clock;
curr_clock = clock();
cout << " Shell stuff synchronization used "
<< (double)(curr_clock - prev_clock) / ((double)CLOCKS_PER_SEC)
<< " seconds! " << endl;
}
}
#endif
} // end CA-RK4 guard
// for black hole position
if (BH_num > 0 && lev == GH->levels - 1)
{
@@ -1027,9 +1714,11 @@ void Z4c_class::Step(int lev, int YN)
Porg0[ithBH][2] = Porg1[ithBH][2];
}
}
#endif
}
#else
// for constraint preserving boundary (CPBC)
// Note: CPBC path uses CPU Fortran RHS; GPU resident sync is a no-op here.
#ifndef WithShell
#error "CPBC only supports Shell"
#endif
@@ -1059,6 +1748,14 @@ void Z4c_class::Step(int lev, int YN)
int pre = 0, cor = 1;
int ERROR = 0;
#if USE_CUDA_Z4C && defined(WithShell)
if (bssn_cuda_use_resident_sync(lev))
{
for (int dl = 0; dl < GH->levels; dl++)
bssn_cuda_download_level_state_if_present(GH->PatL[dl], StateList, myrank);
}
#endif
MyList<ss_patch> *sPp;
// Predictor
MyList<Patch> *Pp = GH->PatL[lev];
@@ -1543,7 +2240,7 @@ void Z4c_class::Step(int lev, int YN)
}
}
// CA-RK4: skip post-prediction MPI ghost sync (redundant; ghost cells computable locally)
Parallel::Sync(GH->PatL[lev], SynchList_pre, Symmetry);
if (lev == 0)
{
@@ -2105,9 +2802,7 @@ void Z4c_class::Step(int lev, int YN)
}
}
// CA-RK4: only MPI sync after last corrector (iter_count == 3); stages 1 & 2 are redundant
if (iter_count == 3)
Parallel::Sync(GH->PatL[lev], SynchList_cor, Symmetry);
Parallel::Sync(GH->PatL[lev], SynchList_cor, Symmetry);
if (lev == 0)
{
@@ -2391,6 +3086,11 @@ void Z4c_class::Check_extrop()
//================================================================================================
#if USE_CUDA_Z4C && (ABEtype == 2) && defined(WithShell)
#undef f_compute_rhs_Z4c_ss
#define f_compute_rhs_Z4c_ss compute_rhs_z4c_ss_
#endif
// this member function is used to compute and output constraint violation
//================================================================================================
@@ -2666,11 +3366,12 @@ void Z4c_class::Interp_Constraint()
}
ofstream outfile;
char filename[50];
sprintf(filename, "%s/interp_constraint_%05d.dat", ErrorMonitor->out_dir.c_str(), int(PhysTime / dT + 0.5));
char suffix[64];
sprintf(suffix, "/interp_constraint_%05d.dat", int(PhysTime / dT + 0.5));
string filename = ErrorMonitor->out_dir + suffix;
// 0.5 for round off
outfile.open(filename);
outfile.open(filename.c_str());
outfile << "# corrdinate, H_Res, Px_Res, Py_Res, Pz_Res, Gx_Res, Gy_Res, Gz_Res, ...." << endl;
for (int i = 0; i < n; i++)
{
+62 -56
View File
@@ -94,29 +94,31 @@
Hcon,Mxcon,Mycon,Mzcon,Gmxcon,Gmycon,Gmzcon, &
Symmetry,Lev,eps,co)
#if (ABV == 0)
call ricci_gamma(ex, X, Y, Z, &
chi, &
dxx , gxy , gxz , dyy , gyz , dzz,&
Gamx , Gamy , Gamz , &
Gamxxx,Gamxxy,Gamxxz,Gamxyy,Gamxyz,Gamxzz,&
Gamyxx,Gamyxy,Gamyxz,Gamyyy,Gamyyz,Gamyzz,&
Gamzxx,Gamzxy,Gamzxz,Gamzyy,Gamzyz,Gamzzz,&
Rxx,Rxy,Rxz,Ryy,Ryz,Rzz,&
Symmetry)
#endif
call constraint_bssn(ex, X, Y, Z,&
chi,trK, &
dxx,gxy,gxz,dyy,gyz,dzz, &
Axx,Axy,Axz,Ayy,Ayz,Azz, &
Gamx,Gamy,Gamz,&
Lap,betax,betay,betaz,rho,Sx,Sy,Sz,&
Gamxxx, Gamxxy, Gamxxz,Gamxyy, Gamxyz, Gamxzz, &
Gamyxx, Gamyxy, Gamyxz,Gamyyy, Gamyyz, Gamyzz, &
Gamzxx, Gamzxy, Gamzxz,Gamzyy, Gamzyz, Gamzzz, &
Rxx,Rxy,Rxz,Ryy,Ryz,Rzz, &
Hcon,Mxcon,Mycon,Mzcon,Gmxcon,Gmycon,Gmzcon, &
Symmetry)
if (co == 0) then
#if (ABV == 0)
call ricci_gamma(ex, X, Y, Z, &
chi, &
dxx , gxy , gxz , dyy , gyz , dzz,&
Gamx , Gamy , Gamz , &
Gamxxx,Gamxxy,Gamxxz,Gamxyy,Gamxyz,Gamxzz,&
Gamyxx,Gamyxy,Gamyxz,Gamyyy,Gamyyz,Gamyzz,&
Gamzxx,Gamzxy,Gamzxz,Gamzyy,Gamzyz,Gamzzz,&
Rxx,Rxy,Rxz,Ryy,Ryz,Rzz,&
Symmetry)
#endif
call constraint_bssn(ex, X, Y, Z,&
chi,trK, &
dxx,gxy,gxz,dyy,gyz,dzz, &
Axx,Axy,Axz,Ayy,Ayz,Azz, &
Gamx,Gamy,Gamz,&
Lap,betax,betay,betaz,rho,Sx,Sy,Sz,&
Gamxxx, Gamxxy, Gamxxz,Gamxyy, Gamxyz, Gamxzz, &
Gamyxx, Gamyxy, Gamyxz,Gamyyy, Gamyyz, Gamyzz, &
Gamzxx, Gamzxy, Gamzxz,Gamzyy, Gamzyz, Gamzzz, &
Rxx,Rxy,Rxz,Ryy,Ryz,Rzz, &
Hcon,Mxcon,Mycon,Mzcon,Gmxcon,Gmycon,Gmzcon, &
Symmetry)
endif
return
@@ -226,11 +228,12 @@
call get_Z4cparameters(kappa1,kappa2,kappa3,FF,eta)
!!! sanity check
dX = sum(chi)+sum(trK)+sum(dxx)+sum(gxy)+sum(gxz)+sum(dyy)+sum(gyz)+sum(dzz) &
+sum(Axx)+sum(Axy)+sum(Axz)+sum(Ayy)+sum(Ayz)+sum(Azz) &
+sum(Gamx)+sum(Gamy)+sum(Gamz) &
+sum(Lap)+sum(betax)+sum(betay)+sum(betaz)+sum(dtSfx)+sum(dtSfy)+sum(dtSfz) &
!!! sanity check
#ifdef DEBUG
dX = sum(chi)+sum(trK)+sum(dxx)+sum(gxy)+sum(gxz)+sum(dyy)+sum(gyz)+sum(dzz) &
+sum(Axx)+sum(Axy)+sum(Axz)+sum(Ayy)+sum(Ayz)+sum(Azz) &
+sum(Gamx)+sum(Gamy)+sum(Gamz) &
+sum(Lap)+sum(betax)+sum(betay)+sum(betaz)+sum(dtSfx)+sum(dtSfy)+sum(dtSfz) &
+sum(TZ)
if(dX.ne.dX) then
if(sum(chi).ne.sum(chi))write(*,*)"Z4c_rhs.f90: find NaN in chi"
@@ -257,10 +260,11 @@
if(sum(dtSfx).ne.sum(dtSfx))write(*,*)"Z4c_rhs.f90: find NaN in dtSfx"
if(sum(dtSfy).ne.sum(dtSfy))write(*,*)"Z4c_rhs.f90: find NaN in dtSfy"
if(sum(dtSfz).ne.sum(dtSfz))write(*,*)"Z4c_rhs.f90: find NaN in dtSfz"
if(sum(TZ).ne.sum(Tz))write(*,*)"Z4c_rhs.f90: find NaN in TZ"
gont = 1
return
endif
if(sum(TZ).ne.sum(Tz))write(*,*)"Z4c_rhs.f90: find NaN in TZ"
gont = 1
return
endif
#endif
PI = dacos(-ONE)
@@ -1263,30 +1267,32 @@
endif
#if (ABV == 0)
call ricci_gamma(ex, X, Y, Z, &
chi, &
dxx , gxy , gxz , dyy , gyz , dzz,&
Gamx , Gamy , Gamz , &
Gamxxx,Gamxxy,Gamxxz,Gamxyy,Gamxyz,Gamxzz,&
Gamyxx,Gamyxy,Gamyxz,Gamyyy,Gamyyz,Gamyzz,&
Gamzxx,Gamzxy,Gamzxz,Gamzyy,Gamzyz,Gamzzz,&
Rxx,Rxy,Rxz,Ryy,Ryz,Rzz,&
Symmetry)
#endif
call constraint_bssn(ex, X, Y, Z,&
chi,trK, &
dxx,gxy,gxz,dyy,gyz,dzz, &
Axx,Axy,Axz,Ayy,Ayz,Azz, &
Gamx,Gamy,Gamz,&
Lap,betax,betay,betaz,rho,Sx,Sy,Sz,&
Gamxxx, Gamxxy, Gamxxz,Gamxyy, Gamxyz, Gamxzz, &
Gamyxx, Gamyxy, Gamyxz,Gamyyy, Gamyyz, Gamyzz, &
Gamzxx, Gamzxy, Gamzxz,Gamzyy, Gamzyz, Gamzzz, &
Rxx,Rxy,Rxz,Ryy,Ryz,Rzz, &
Hcon,Mxcon,Mycon,Mzcon,Gmxcon,Gmycon,Gmzcon, &
Symmetry)
if (co == 0) then
#if (ABV == 0)
call ricci_gamma(ex, X, Y, Z, &
chi, &
dxx , gxy , gxz , dyy , gyz , dzz,&
Gamx , Gamy , Gamz , &
Gamxxx,Gamxxy,Gamxxz,Gamxyy,Gamxyz,Gamxzz,&
Gamyxx,Gamyxy,Gamyxz,Gamyyy,Gamyyz,Gamyzz,&
Gamzxx,Gamzxy,Gamzxz,Gamzyy,Gamzyz,Gamzzz,&
Rxx,Rxy,Rxz,Ryy,Ryz,Rzz,&
Symmetry)
#endif
call constraint_bssn(ex, X, Y, Z,&
chi,trK, &
dxx,gxy,gxz,dyy,gyz,dzz, &
Axx,Axy,Axz,Ayy,Ayz,Azz, &
Gamx,Gamy,Gamz,&
Lap,betax,betay,betaz,rho,Sx,Sy,Sz,&
Gamxxx, Gamxxy, Gamxxz,Gamxyy, Gamxyz, Gamxzz, &
Gamyxx, Gamyxy, Gamyxz,Gamyyy, Gamyyz, Gamyzz, &
Gamzxx, Gamzxy, Gamzxz,Gamzyy, Gamzyz, Gamzzz, &
Rxx,Rxy,Rxz,Ryy,Ryz,Rzz, &
Hcon,Mxcon,Mycon,Mzcon,Gmxcon,Gmycon,Gmzcon, &
Symmetry)
endif
gont = 0
+48 -44
View File
@@ -121,11 +121,12 @@
call get_Z4cparameters(kappa1,kappa2,kappa3,FF,eta)
!!! sanity check
dX = sum(chi)+sum(trK)+sum(dxx)+sum(gxy)+sum(gxz)+sum(dyy)+sum(gyz)+sum(dzz) &
+sum(Axx)+sum(Axy)+sum(Axz)+sum(Ayy)+sum(Ayz)+sum(Azz) &
+sum(Gamx)+sum(Gamy)+sum(Gamz) &
+sum(Lap)+sum(betax)+sum(betay)+sum(betaz)+sum(dtSfx)+sum(dtSfy)+sum(dtSfz) &
!!! sanity check
#ifdef DEBUG
dX = sum(chi)+sum(trK)+sum(dxx)+sum(gxy)+sum(gxz)+sum(dyy)+sum(gyz)+sum(dzz) &
+sum(Axx)+sum(Axy)+sum(Axz)+sum(Ayy)+sum(Ayz)+sum(Azz) &
+sum(Gamx)+sum(Gamy)+sum(Gamz) &
+sum(Lap)+sum(betax)+sum(betay)+sum(betaz)+sum(dtSfx)+sum(dtSfy)+sum(dtSfz) &
+sum(TZ)
if(dX.ne.dX) then
if(sum(chi).ne.sum(chi))write(*,*)"Z4c_rhs_ss.f90: find NaN in chi"
@@ -152,10 +153,11 @@
if(sum(dtSfx).ne.sum(dtSfx))write(*,*)"Z4c_rhs_ss.f90: find NaN in dtSfx"
if(sum(dtSfy).ne.sum(dtSfy))write(*,*)"Z4c_rhs_ss.f90: find NaN in dtSfy"
if(sum(dtSfz).ne.sum(dtSfz))write(*,*)"Z4c_rhs_ss.f90: find NaN in dtSfz"
if(sum(TZ).ne.sum(Tz))write(*,*)"Z4c_rhs_ss.f90: find NaN in TZ"
gont = 1
return
endif
if(sum(TZ).ne.sum(Tz))write(*,*)"Z4c_rhs_ss.f90: find NaN in TZ"
gont = 1
return
endif
#endif
PI = dacos(-ONE)
@@ -1388,41 +1390,43 @@
call kodis_sh(ex,crho,sigma,R,TZ,TZ_rhs,SSS,Symmetry,eps,sst)
endif
#if (ABV == 1)
call ricci_gamma_ss(ex,crho,sigma,R,X, Y, Z, &
drhodx, drhody, drhodz, &
dsigmadx,dsigmady,dsigmadz, &
dRdx,dRdy,dRdz, &
drhodxx,drhodxy,drhodxz,drhodyy,drhodyz,drhodzz, &
dsigmadxx,dsigmadxy,dsigmadxz,dsigmadyy,dsigmadyz,dsigmadzz, &
dRdxx,dRdxy,dRdxz,dRdyy,dRdyz,dRdzz, &
chi, &
dxx , gxy , gxz , dyy , gyz , dzz,&
Gamx , Gamy , Gamz , &
Gamxxx,Gamxxy,Gamxxz,Gamxyy,Gamxyz,Gamxzz,&
Gamyxx,Gamyxy,Gamyxz,Gamyyy,Gamyyz,Gamyzz,&
Gamzxx,Gamzxy,Gamzxz,Gamzyy,Gamzyz,Gamzzz,&
Rxx,Rxy,Rxz,Ryy,Ryz,Rzz,&
Symmetry,Lev,sst)
call constraint_bssn_ss(ex,crho,sigma,R,X, Y, Z, &
drhodx, drhody, drhodz, &
dsigmadx,dsigmady,dsigmadz, &
dRdx,dRdy,dRdz, &
drhodxx,drhodxy,drhodxz,drhodyy,drhodyz,drhodzz, &
dsigmadxx,dsigmadxy,dsigmadxz,dsigmadyy,dsigmadyz,dsigmadzz, &
dRdxx,dRdxy,dRdxz,dRdyy,dRdyz,dRdzz, &
chi,trK, &
dxx,gxy,gxz,dyy,gyz,dzz, &
Axx,Axy,Axz,Ayy,Ayz,Azz, &
Gamx,Gamy,Gamz,&
Lap,betax,betay,betaz,rho,Sx,Sy,Sz,&
Gamxxx, Gamxxy, Gamxxz,Gamxyy, Gamxyz, Gamxzz, &
Gamyxx, Gamyxy, Gamyxz,Gamyyy, Gamyyz, Gamyzz, &
Gamzxx, Gamzxy, Gamzxz,Gamzyy, Gamzyz, Gamzzz, &
Rxx,Rxy,Rxz,Ryy,Ryz,Rzz, &
Hcon,Mxcon,Mycon,Mzcon,Gmxcon,Gmycon,Gmzcon, &
Symmetry,Lev,sst)
#endif
if (co == 0) then
#if (ABV == 1)
call ricci_gamma_ss(ex,crho,sigma,R,X, Y, Z, &
drhodx, drhody, drhodz, &
dsigmadx,dsigmady,dsigmadz, &
dRdx,dRdy,dRdz, &
drhodxx,drhodxy,drhodxz,drhodyy,drhodyz,drhodzz, &
dsigmadxx,dsigmadxy,dsigmadxz,dsigmadyy,dsigmadyz,dsigmadzz, &
dRdxx,dRdxy,dRdxz,dRdyy,dRdyz,dRdzz, &
chi, &
dxx , gxy , gxz , dyy , gyz , dzz,&
Gamx , Gamy , Gamz , &
Gamxxx,Gamxxy,Gamxxz,Gamxyy,Gamxyz,Gamxzz,&
Gamyxx,Gamyxy,Gamyxz,Gamyyy,Gamyyz,Gamyzz,&
Gamzxx,Gamzxy,Gamzxz,Gamzyy,Gamzyz,Gamzzz,&
Rxx,Rxy,Rxz,Ryy,Ryz,Rzz,&
Symmetry,Lev,sst)
#endif
call constraint_bssn_ss(ex,crho,sigma,R,X, Y, Z, &
drhodx, drhody, drhodz, &
dsigmadx,dsigmady,dsigmadz, &
dRdx,dRdy,dRdz, &
drhodxx,drhodxy,drhodxz,drhodyy,drhodyz,drhodzz, &
dsigmadxx,dsigmadxy,dsigmadxz,dsigmadyy,dsigmadyz,dsigmadzz, &
dRdxx,dRdxy,dRdxz,dRdyy,dRdyz,dRdzz, &
chi,trK, &
dxx,gxy,gxz,dyy,gyz,dzz, &
Axx,Axy,Axz,Ayy,Ayz,Azz, &
Gamx,Gamy,Gamz,&
Lap,betax,betay,betaz,rho,Sx,Sy,Sz,&
Gamxxx, Gamxxy, Gamxxz,Gamxyy, Gamxyz, Gamxzz, &
Gamyxx, Gamyxy, Gamyxz,Gamyyy, Gamyyz, Gamyzz, &
Gamzxx, Gamzxy, Gamzxz,Gamzyy, Gamzyz, Gamzzz, &
Rxx,Rxy,Rxz,Ryy,Ryz,Rzz, &
Hcon,Mxcon,Mycon,Mzcon,Gmxcon,Gmycon,Gmzcon, &
Symmetry,Lev,sst)
endif
gont = 0
File diff suppressed because it is too large Load Diff
+681 -139
View File
@@ -1,9 +1,10 @@
#ifdef newc
#include <sstream>
#include <cstdio>
#include <map>
using namespace std;
#include <sstream>
#include <cstdio>
#include <map>
#include <string>
using namespace std;
#else
#include <stdio.h>
#include <map.h>
@@ -24,16 +25,323 @@ using namespace std;
#include "sommerfeld_rout.h"
#include "getnp4.h"
#include "shellfunctions.h"
#include "parameters.h"
#include "parameters.h"
#if USE_CUDA_BSSN
#include "bssn_rhs_cuda.h"
#endif
#ifdef With_AHF
#include "derivatives.h"
#include "myglobal.h"
#endif
//================================================================================================
// Define bssnEScalar_class
//================================================================================================
namespace
{
#if USE_CUDA_BSSN
bool fill_bssn_escalar_cuda_views(Block *cg, MyList<var> *vars,
double **host_views,
double *propspeeds = 0,
double *soa_flat = 0)
{
int idx = 0;
while (vars && idx < BSSN_ESCALAR_CUDA_STATE_COUNT)
{
host_views[idx] = cg->fgfs[vars->data->sgfn];
if (propspeeds)
propspeeds[idx] = vars->data->propspeed;
if (soa_flat)
{
soa_flat[3 * idx + 0] = vars->data->SoA[0];
soa_flat[3 * idx + 1] = vars->data->SoA[1];
soa_flat[3 * idx + 2] = vars->data->SoA[2];
}
vars = vars->next;
++idx;
}
return idx == BSSN_ESCALAR_CUDA_STATE_COUNT && vars == 0;
}
bool bssn_escalar_cuda_use_resident_sync(int lev)
{
static int enabled = -1;
if (enabled < 0)
{
const char *env = getenv("AMSS_CUDA_RESIDENT_SYNC");
if (!env)
env = getenv("AMSS_CUDA_ESCALAR_RESIDENT_SYNC");
enabled = env ? ((atoi(env) != 0) ? 1 : 0) : 1;
}
if (!enabled)
return false;
#ifdef WithShell
(void)lev;
return false;
#else
return true;
#endif
}
bool bssn_escalar_cuda_keep_resident_after_step(int lev, int trfls_in, int analysis_lev)
{
static int keep_all_levels = -1;
if (keep_all_levels < 0)
{
const char *env = getenv("AMSS_CUDA_ESCALAR_KEEP_ALL_LEVELS");
keep_all_levels = (env && atoi(env) != 0) ? 1 : 0;
}
static int enabled = -1;
if (enabled < 0)
{
const char *env = getenv("AMSS_CUDA_ESCALAR_KEEP_RESIDENT_AFTER_STEP");
enabled = (env && atoi(env) != 0) ? 1 : 0;
}
if (!enabled)
return false;
if (lev == analysis_lev)
return false;
static int release_only_level = -2;
if (release_only_level == -2)
{
const char *env = getenv("AMSS_CUDA_ESCALAR_RELEASE_ONLY_LEVEL");
release_only_level = (env && atoi(env) >= 0) ? atoi(env) : -1;
}
if (release_only_level >= 0)
return lev != release_only_level;
static int keep_level_limit = -2;
if (keep_level_limit == -2)
{
const char *env = getenv("AMSS_CUDA_ESCALAR_KEEP_LEVELS_BELOW");
keep_level_limit = (env && atoi(env) >= 0) ? atoi(env) : -1;
}
if (keep_level_limit >= 0)
return lev < keep_level_limit;
if (keep_all_levels)
return true;
return lev < trfls_in;
}
bool bssn_escalar_sync_merged_enabled()
{
static int enabled = -1;
if (enabled < 0)
{
const char *env = getenv("AMSS_ESCALAR_SYNC_MERGED");
enabled = (env && atoi(env) != 0) ? 1 : 0;
}
return enabled != 0;
}
void bssn_escalar_sync_level(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry)
{
if (bssn_escalar_sync_merged_enabled())
Parallel::Sync_merged(PatL, VarList, Symmetry);
else
Parallel::Sync(PatL, VarList, Symmetry);
}
bool bssn_escalar_timing_enabled()
{
static int enabled = -1;
if (enabled < 0)
{
const char *env = getenv("AMSS_ESCALAR_STEP_TIMING");
enabled = (env && atoi(env) != 0) ? 1 : 0;
}
return enabled != 0;
}
bool bssn_escalar_cuda_post_rp_download_enabled()
{
static int enabled = -1;
if (enabled < 0)
{
const char *env = getenv("AMSS_CUDA_ESCALAR_POST_RP_DOWNLOAD");
enabled = (env && atoi(env) != 0) ? 1 : 0;
}
return enabled != 0;
}
bool bssn_escalar_cuda_post_rp_download_level_enabled(int lev)
{
if (!bssn_escalar_cuda_post_rp_download_enabled())
return false;
static int min_level = -2;
if (min_level == -2)
{
const char *env = getenv("AMSS_CUDA_ESCALAR_POST_RP_MIN_LEVEL");
min_level = (env && atoi(env) >= 0) ? atoi(env) : -1;
}
return min_level < 0 || lev >= min_level;
}
bool bssn_escalar_cuda_post_swap_release_enabled()
{
static int enabled = -1;
if (enabled < 0)
{
const char *env = getenv("AMSS_CUDA_ESCALAR_POST_SWAP_RELEASE");
enabled = (env && atoi(env) != 0) ? 1 : 0;
}
return enabled != 0;
}
bool bssn_escalar_cuda_pre_rp_release_enabled()
{
static int enabled = -1;
if (enabled < 0)
{
const char *env = getenv("AMSS_CUDA_ESCALAR_PRE_RP_RELEASE");
enabled = env ? ((atoi(env) != 0) ? 1 : 0) : 1;
}
return enabled != 0;
}
bool bssn_escalar_cuda_bh_interp_resident_enabled()
{
static int enabled = -1;
if (enabled < 0)
{
const char *env = getenv("AMSS_CUDA_BH_INTERP_RESIDENT");
enabled = env ? ((atoi(env) != 0) ? 1 : 0) : 0;
}
return enabled != 0;
}
bool bssn_escalar_cuda_prune_after_swap_enabled()
{
static int enabled = -1;
if (enabled < 0)
{
const char *env = getenv("AMSS_CUDA_ESCALAR_PRUNE_AFTER_SWAP");
enabled = (env && atoi(env) != 0) ? 1 : 0;
}
return enabled != 0;
}
void bssn_escalar_cuda_upload_level_state(MyList<Patch> *PatL, MyList<var> *vars,
int myrank)
{
MyList<Patch> *Pp = PatL;
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
if (myrank == cg->rank && bssn_cuda_has_resident_state(cg))
{
double *state_in[BSSN_ESCALAR_CUDA_STATE_COUNT];
if (!fill_bssn_escalar_cuda_views(cg, vars, state_in))
{
cout << "CUDA BSSN-EScalar resident state list mismatch during upload" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
if (bssn_escalar_cuda_upload_resident_state(cg, cg->shape, state_in))
{
cout << "CUDA BSSN-EScalar resident state upload failed" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
}
void bssn_escalar_cuda_keep_only_level_state(MyList<Patch> *PatL, MyList<var> *vars,
int myrank)
{
MyList<Patch> *Pp = PatL;
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
if (myrank == cg->rank && bssn_cuda_has_resident_state(cg))
{
double *state_key[BSSN_ESCALAR_CUDA_STATE_COUNT];
if (!fill_bssn_escalar_cuda_views(cg, vars, state_key))
{
cout << "CUDA BSSN-EScalar resident state list mismatch during prune" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
if (bssn_escalar_cuda_keep_only_resident_state(cg, cg->shape, state_key))
{
cout << "CUDA BSSN-EScalar resident state prune failed" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
}
void bssn_escalar_timing_report(int myrank, int lev, int YN, double total, double rhs,
double sync, double bh, double analysis, double swap,
double resident, double rp)
{
if (!bssn_escalar_timing_enabled())
return;
double local[8] = {total, rhs, sync, bh, analysis, swap, resident, rp};
double maxv[8] = {};
MPI_Reduce(local, maxv, 8, MPI_DOUBLE, MPI_MAX, 0, MPI_COMM_WORLD);
if (myrank == 0)
fprintf(stderr,
"[AMSS-ESCALAR-STEP] lev=%d YN=%d total=%.6f rhs=%.6f sync=%.6f "
"bh=%.6f analysis=%.6f swap=%.6f resident=%.6f rp=%.6f other=%.6f\n",
lev, YN, maxv[0], maxv[1], maxv[2], maxv[3], maxv[4], maxv[5],
maxv[6], maxv[7],
maxv[0] - maxv[1] - maxv[2] - maxv[3] - maxv[4] - maxv[5] - maxv[6] - maxv[7]);
}
void bssn_escalar_cuda_download_level_state(MyList<Patch> *PatL, MyList<var> *vars,
int myrank, bool release_ctx)
{
MyList<Patch> *Pp = PatL;
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
if (myrank == cg->rank && bssn_cuda_has_resident_state(cg))
{
double *state_out[BSSN_ESCALAR_CUDA_STATE_COUNT];
if (!fill_bssn_escalar_cuda_views(cg, vars, state_out))
{
cout << "CUDA BSSN-EScalar resident state list mismatch during download" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
if (bssn_escalar_cuda_download_resident_state(cg, cg->shape, state_out))
{
cout << "CUDA BSSN-EScalar resident state download failed" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
if (release_ctx)
bssn_cuda_release_step_ctx(cg);
}
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
}
#endif
}
//================================================================================================
// Define bssnEScalar_class
// It inherits some members and methods from the parent class bssn_class and modifies others.
// The modified members and methods are defined below (and in the header bssnEScalar_class.h).
@@ -177,11 +485,16 @@ void bssnEScalar_class::Initialize()
//================================================================================================
bssnEScalar_class::~bssnEScalar_class()
{
delete Sphio;
delete Spio;
delete Sphi0;
bssnEScalar_class::~bssnEScalar_class()
{
#if USE_CUDA_BSSN
for (int lev = 0; GH && lev < GH->levels; ++lev)
bssn_escalar_cuda_download_level_state(GH->PatL[lev], StateList, myrank, true);
#endif
delete Sphio;
delete Spio;
delete Sphi0;
delete Spi0;
delete Sphi;
delete Spi;
@@ -707,7 +1020,12 @@ void bssnEScalar_class::Read_Pablo()
void bssnEScalar_class::Step(int lev, int YN)
{
double dT_lev = dT * pow(0.5, Mymax(lev, trfls));
double dT_lev = dT * pow(0.5, Mymax(lev, trfls));
#if USE_CUDA_BSSN
const bool use_cuda_resident_sync = bssn_escalar_cuda_use_resident_sync(lev);
#else
const bool use_cuda_resident_sync = false;
#endif
#ifdef With_AHF
AH_Step_Find(lev, dT_lev);
#endif
@@ -716,13 +1034,23 @@ void bssnEScalar_class::Step(int lev, int YN)
if (lev < GH->movls)
ndeps = numepsb;
double TRK4 = PhysTime;
int iter_count = 0; // count RK4 substeps
int pre = 0, cor = 1;
int ERROR = 0;
MyList<ss_patch> *sPp;
// Predictor
MyList<Patch> *Pp = GH->PatL[lev];
int iter_count = 0; // count RK4 substeps
int pre = 0, cor = 1;
int ERROR = 0;
const bool escalar_step_timing = bssn_escalar_timing_enabled();
const double escalar_step_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
double escalar_t_rhs = 0.0;
double escalar_t_sync = 0.0;
double escalar_t_bh = 0.0;
double escalar_t_analysis = 0.0;
double escalar_t_swap = 0.0;
double escalar_t_resident = 0.0;
double escalar_t_rp = 0.0;
MyList<ss_patch> *sPp;
// Predictor
double escalar_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
MyList<Patch> *Pp = GH->PatL[lev];
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
@@ -731,15 +1059,60 @@ void bssnEScalar_class::Step(int lev, int YN)
Block *cg = BP->data;
if (myrank == cg->rank)
{
#if (AGM == 0)
f_enforce_ga(cg->shape,
cg->fgfs[gxx0->sgfn], cg->fgfs[gxy0->sgfn], cg->fgfs[gxz0->sgfn],
cg->fgfs[gyy0->sgfn], cg->fgfs[gyz0->sgfn], cg->fgfs[gzz0->sgfn],
cg->fgfs[Axx0->sgfn], cg->fgfs[Axy0->sgfn], cg->fgfs[Axz0->sgfn],
cg->fgfs[Ayy0->sgfn], cg->fgfs[Ayz0->sgfn], cg->fgfs[Azz0->sgfn]);
#endif
if (f_compute_rhs_bssn_escalar(cg->shape, TRK4, cg->X[0], cg->X[1], cg->X[2],
#if (AGM == 0)
#if !USE_CUDA_BSSN
f_enforce_ga(cg->shape,
cg->fgfs[gxx0->sgfn], cg->fgfs[gxy0->sgfn], cg->fgfs[gxz0->sgfn],
cg->fgfs[gyy0->sgfn], cg->fgfs[gyz0->sgfn], cg->fgfs[gzz0->sgfn],
cg->fgfs[Axx0->sgfn], cg->fgfs[Axy0->sgfn], cg->fgfs[Axz0->sgfn],
cg->fgfs[Ayy0->sgfn], cg->fgfs[Ayz0->sgfn], cg->fgfs[Azz0->sgfn]);
#endif
#endif
bool used_gpu_substep = false;
#if USE_CUDA_BSSN
{
double *state_in[BSSN_ESCALAR_CUDA_STATE_COUNT];
double *state_out[BSSN_ESCALAR_CUDA_STATE_COUNT];
double propspeed[BSSN_ESCALAR_CUDA_STATE_COUNT];
double soa_flat[3 * BSSN_ESCALAR_CUDA_STATE_COUNT];
if (!fill_bssn_escalar_cuda_views(cg, StateList, state_in, propspeed, soa_flat) ||
!fill_bssn_escalar_cuda_views(cg, SynchList_pre, state_out))
{
cout << "CUDA BSSN-EScalar state list mismatch on predictor step" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
int apply_bam_bc = 0;
int apply_enforce_ga = 0;
#if (AGM == 0)
apply_enforce_ga = 1;
#endif
#if (SommerType == 0)
#ifndef WithShell
apply_bam_bc = (lev == 0) ? 1 : 0;
#endif
#endif
int keep_resident_state = use_cuda_resident_sync ? 1 : 0;
if (bssn_escalar_cuda_rk4_substep(cg,
cg->shape, cg->X[0], cg->X[1], cg->X[2],
state_in, state_out,
propspeed, soa_flat, Pp->data->bbox,
dT_lev, TRK4, iter_count, apply_bam_bc,
Symmetry, lev, ndeps, pre,
keep_resident_state, apply_enforce_ga, chitiny))
{
cout << "CUDA BSSN-EScalar predictor substep failed in domain: ("
<< cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
}
used_gpu_substep = true;
}
#endif
if (!used_gpu_substep &&
f_compute_rhs_bssn_escalar(cg->shape, TRK4, cg->X[0], cg->X[1], cg->X[2],
cg->fgfs[phi0->sgfn], cg->fgfs[trK0->sgfn],
cg->fgfs[gxx0->sgfn], cg->fgfs[gxy0->sgfn], cg->fgfs[gxz0->sgfn],
cg->fgfs[gyy0->sgfn], cg->fgfs[gyz0->sgfn], cg->fgfs[gzz0->sgfn],
@@ -783,9 +1156,11 @@ void bssnEScalar_class::Step(int lev, int YN)
ERROR = 1;
}
// rk4 substep and boundary
{
MyList<var> *varl0 = StateList, *varl = SynchList_pre, *varlrhs = RHSList; // we do not check the correspondence here
if (!used_gpu_substep)
{
// rk4 substep and boundary
{
MyList<var> *varl0 = StateList, *varl = SynchList_pre, *varlrhs = RHSList; // we do not check the correspondence here
while (varl0)
{
#ifndef WithShell
@@ -820,9 +1195,10 @@ void bssnEScalar_class::Step(int lev, int YN)
varl = varl->next;
varlrhs = varlrhs->next;
}
}
f_lowerboundset(cg->shape, cg->fgfs[phi->sgfn], chitiny);
}
}
f_lowerboundset(cg->shape, cg->fgfs[phi->sgfn], chitiny);
}
}
if (BP == Pp->data->ble)
break;
BP = BP->next;
@@ -834,19 +1210,21 @@ void bssnEScalar_class::Step(int lev, int YN)
int erh = ERROR;
MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
if (ERROR)
{
if (ERROR)
{
Parallel::Dump_Data(GH->PatL[lev], StateList, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN in state variables at t = " << PhysTime
<< ", lev = " << lev << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
#ifdef WithShell
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
if (escalar_step_timing)
escalar_t_rhs += MPI_Wtime() - escalar_t0;
#ifdef WithShell
// evolve Shell Patches
if (lev == 0)
{
@@ -993,7 +1371,14 @@ void bssnEScalar_class::Step(int lev, int YN)
}
#endif
Parallel::Sync(GH->PatL[lev], SynchList_pre, Symmetry);
escalar_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
#if USE_CUDA_BSSN
bssn_escalar_sync_level(GH->PatL[lev], SynchList_pre, Symmetry);
#else
Parallel::Sync(GH->PatL[lev], SynchList_pre, Symmetry);
#endif
if (escalar_step_timing)
escalar_t_sync += MPI_Wtime() - escalar_t0;
#ifdef WithShell
if (lev == 0)
@@ -1013,10 +1398,15 @@ void bssnEScalar_class::Step(int lev, int YN)
}
#endif
// for black hole position
if (BH_num > 0 && lev == GH->levels - 1)
{
compute_Porg_rhs(Porg0, Porg_rhs, Sfx0, Sfy0, Sfz0, lev);
// for black hole position
if (BH_num > 0 && lev == GH->levels - 1)
{
escalar_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
#if USE_CUDA_BSSN
if (use_cuda_resident_sync && !bssn_escalar_cuda_bh_interp_resident_enabled())
bssn_escalar_cuda_download_level_state(GH->PatL[lev], StateList, myrank, false);
#endif
compute_Porg_rhs(Porg0, Porg_rhs, Sfx0, Sfy0, Sfz0, lev);
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][0], Porg[ithBH][0], Porg_rhs[ithBH][0], iter_count);
@@ -1041,19 +1431,29 @@ void bssnEScalar_class::Step(int lev, int YN)
DG_List->insert(Sfy0);
DG_List->insert(Sfz0);
Parallel::Dump_Data(GH->PatL[lev], DG_List, 0, PhysTime, dT_lev);
DG_List->clearList();
}
}
}
DG_List->clearList();
}
}
if (escalar_step_timing)
escalar_t_bh += MPI_Wtime() - escalar_t0;
}
// data analysis part
// Warning NOTE: the variables1 are used as temp storege room
if (lev == a_lev)
{
AnalysisStuff_EScalar(lev, dT_lev);
}
// corrector
for (iter_count = 1; iter_count < 4; iter_count++)
{
if (lev == a_lev)
{
escalar_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
#if USE_CUDA_BSSN
if (use_cuda_resident_sync)
bssn_escalar_cuda_download_level_state(GH->PatL[lev], SynchList_pre, myrank, false);
#endif
AnalysisStuff_EScalar(lev, dT_lev);
if (escalar_step_timing)
escalar_t_analysis += MPI_Wtime() - escalar_t0;
}
// corrector
for (iter_count = 1; iter_count < 4; iter_count++)
{
escalar_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
// for RK4: t0, t0+dt/2, t0+dt/2, t0+dt;
if (iter_count == 1 || iter_count == 3)
TRK4 += dT_lev / 2;
@@ -1066,22 +1466,67 @@ void bssnEScalar_class::Step(int lev, int YN)
Block *cg = BP->data;
if (myrank == cg->rank)
{
#if (AGM == 0)
f_enforce_ga(cg->shape,
cg->fgfs[gxx->sgfn], cg->fgfs[gxy->sgfn], cg->fgfs[gxz->sgfn],
cg->fgfs[gyy->sgfn], cg->fgfs[gyz->sgfn], cg->fgfs[gzz->sgfn],
cg->fgfs[Axx->sgfn], cg->fgfs[Axy->sgfn], cg->fgfs[Axz->sgfn],
cg->fgfs[Ayy->sgfn], cg->fgfs[Ayz->sgfn], cg->fgfs[Azz->sgfn]);
#elif (AGM == 1)
if (iter_count == 3)
f_enforce_ga(cg->shape,
#if (AGM == 0)
#if !USE_CUDA_BSSN
f_enforce_ga(cg->shape,
cg->fgfs[gxx->sgfn], cg->fgfs[gxy->sgfn], cg->fgfs[gxz->sgfn],
cg->fgfs[gyy->sgfn], cg->fgfs[gyz->sgfn], cg->fgfs[gzz->sgfn],
cg->fgfs[Axx->sgfn], cg->fgfs[Axy->sgfn], cg->fgfs[Axz->sgfn],
cg->fgfs[Ayy->sgfn], cg->fgfs[Ayz->sgfn], cg->fgfs[Azz->sgfn]);
#endif
#elif (AGM == 1)
if (iter_count == 3)
f_enforce_ga(cg->shape,
cg->fgfs[gxx->sgfn], cg->fgfs[gxy->sgfn], cg->fgfs[gxz->sgfn],
cg->fgfs[gyy->sgfn], cg->fgfs[gyz->sgfn], cg->fgfs[gzz->sgfn],
cg->fgfs[Axx->sgfn], cg->fgfs[Axy->sgfn], cg->fgfs[Axz->sgfn],
cg->fgfs[Ayy->sgfn], cg->fgfs[Ayz->sgfn], cg->fgfs[Azz->sgfn]);
#endif
if (f_compute_rhs_bssn_escalar(cg->shape, TRK4, cg->X[0], cg->X[1], cg->X[2],
#endif
bool used_gpu_substep = false;
#if USE_CUDA_BSSN
{
double *state_in[BSSN_ESCALAR_CUDA_STATE_COUNT];
double *state_out[BSSN_ESCALAR_CUDA_STATE_COUNT];
double propspeed[BSSN_ESCALAR_CUDA_STATE_COUNT];
double soa_flat[3 * BSSN_ESCALAR_CUDA_STATE_COUNT];
if (!fill_bssn_escalar_cuda_views(cg, SynchList_pre, state_in, propspeed, soa_flat) ||
!fill_bssn_escalar_cuda_views(cg, SynchList_cor, state_out))
{
cout << "CUDA BSSN-EScalar state list mismatch on corrector step" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
int apply_bam_bc = 0;
int apply_enforce_ga = 0;
#if (AGM == 0)
apply_enforce_ga = 1;
#endif
#if (SommerType == 0)
#ifndef WithShell
apply_bam_bc = (lev == 0) ? 1 : 0;
#endif
#endif
int keep_resident_state = use_cuda_resident_sync ? 1 : 0;
if (bssn_escalar_cuda_rk4_substep(cg,
cg->shape, cg->X[0], cg->X[1], cg->X[2],
state_in, state_out,
propspeed, soa_flat, Pp->data->bbox,
dT_lev, TRK4, iter_count, apply_bam_bc,
Symmetry, lev, ndeps, cor,
keep_resident_state, apply_enforce_ga, chitiny))
{
cout << "CUDA BSSN-EScalar corrector substep failed in domain: ("
<< cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
}
used_gpu_substep = true;
}
#endif
if (!used_gpu_substep &&
f_compute_rhs_bssn_escalar(cg->shape, TRK4, cg->X[0], cg->X[1], cg->X[2],
cg->fgfs[phi->sgfn], cg->fgfs[trK->sgfn],
cg->fgfs[gxx->sgfn], cg->fgfs[gxy->sgfn], cg->fgfs[gxz->sgfn],
cg->fgfs[gyy->sgfn], cg->fgfs[gyz->sgfn], cg->fgfs[gzz->sgfn],
@@ -1125,9 +1570,11 @@ void bssnEScalar_class::Step(int lev, int YN)
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
}
// rk4 substep and boundary
{
MyList<var> *varl0 = StateList, *varl = SynchList_pre, *varl1 = SynchList_cor, *varlrhs = RHSList;
if (!used_gpu_substep)
{
// rk4 substep and boundary
{
MyList<var> *varl0 = StateList, *varl = SynchList_pre, *varl1 = SynchList_cor, *varlrhs = RHSList;
// we do not check the correspondence here
while (varl0)
@@ -1165,9 +1612,10 @@ void bssnEScalar_class::Step(int lev, int YN)
varl1 = varl1->next;
varlrhs = varlrhs->next;
}
}
f_lowerboundset(cg->shape, cg->fgfs[phi1->sgfn], chitiny);
}
}
f_lowerboundset(cg->shape, cg->fgfs[phi1->sgfn], chitiny);
}
}
if (BP == Pp->data->ble)
break;
BP = BP->next;
@@ -1180,8 +1628,8 @@ void bssnEScalar_class::Step(int lev, int YN)
int erh = ERROR;
MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
if (ERROR)
{
if (ERROR)
{
Parallel::Dump_Data(GH->PatL[lev], SynchList_pre, 0, PhysTime, dT_lev);
if (myrank == 0)
{
@@ -1189,11 +1637,13 @@ void bssnEScalar_class::Step(int lev, int YN)
ErrorMonitor->outfile << "find NaN in RK4 substep#" << iter_count
<< " variables at t = " << PhysTime
<< ", lev = " << lev << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
#ifdef WithShell
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
if (escalar_step_timing)
escalar_t_rhs += MPI_Wtime() - escalar_t0;
#ifdef WithShell
// evolve Shell Patches
if (lev == 0)
{
@@ -1349,7 +1799,14 @@ void bssnEScalar_class::Step(int lev, int YN)
}
#endif
Parallel::Sync(GH->PatL[lev], SynchList_cor, Symmetry);
escalar_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
#if USE_CUDA_BSSN
bssn_escalar_sync_level(GH->PatL[lev], SynchList_cor, Symmetry);
#else
Parallel::Sync(GH->PatL[lev], SynchList_cor, Symmetry);
#endif
if (escalar_step_timing)
escalar_t_sync += MPI_Wtime() - escalar_t0;
#ifdef WithShell
if (lev == 0)
@@ -1368,10 +1825,15 @@ void bssnEScalar_class::Step(int lev, int YN)
}
}
#endif
// for black hole position
if (BH_num > 0 && lev == GH->levels - 1)
{
compute_Porg_rhs(Porg, Porg1, Sfx, Sfy, Sfz, lev);
// for black hole position
if (BH_num > 0 && lev == GH->levels - 1)
{
escalar_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
#if USE_CUDA_BSSN
if (use_cuda_resident_sync && !bssn_escalar_cuda_bh_interp_resident_enabled())
bssn_escalar_cuda_download_level_state(GH->PatL[lev], SynchList_pre, myrank, false);
#endif
compute_Porg_rhs(Porg, Porg1, Sfx, Sfy, Sfz, lev);
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][0], Porg1[ithBH][0], Porg_rhs[ithBH][0], iter_count);
@@ -1396,14 +1858,17 @@ void bssnEScalar_class::Step(int lev, int YN)
DG_List->insert(Sfy0);
DG_List->insert(Sfz0);
Parallel::Dump_Data(GH->PatL[lev], DG_List, 0, PhysTime, dT_lev);
DG_List->clearList();
}
}
}
// swap time level
if (iter_count < 3)
{
Pp = GH->PatL[lev];
DG_List->clearList();
}
}
if (escalar_step_timing)
escalar_t_bh += MPI_Wtime() - escalar_t0;
}
// swap time level
if (iter_count < 3)
{
escalar_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
Pp = GH->PatL[lev];
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
@@ -1444,16 +1909,33 @@ void bssnEScalar_class::Step(int lev, int YN)
Porg[ithBH][0] = Porg1[ithBH][0];
Porg[ithBH][1] = Porg1[ithBH][1];
Porg[ithBH][2] = Porg1[ithBH][2];
}
}
}
}
#if (RPS == 0)
// mesh refinement boundary part
RestrictProlong(lev, YN, BB);
#ifdef WithShell
}
}
if (escalar_step_timing)
escalar_t_swap += MPI_Wtime() - escalar_t0;
}
}
#if USE_CUDA_BSSN
if (use_cuda_resident_sync)
{
escalar_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
if (!bssn_escalar_cuda_keep_resident_after_step(lev, trfls, a_lev))
bssn_escalar_cuda_download_level_state(GH->PatL[lev], SynchList_cor, myrank,
bssn_escalar_cuda_pre_rp_release_enabled());
if (escalar_step_timing)
escalar_t_resident += MPI_Wtime() - escalar_t0;
}
#endif
#if (RPS == 0)
// mesh refinement boundary part
escalar_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
RestrictProlong(lev, YN, BB);
if (escalar_step_timing)
escalar_t_rp += MPI_Wtime() - escalar_t0;
#ifdef WithShell
if (lev == 0)
{
clock_t prev_clock, curr_clock;
@@ -1477,8 +1959,9 @@ void bssnEScalar_class::Step(int lev, int YN)
// StateList 0 -----------
//
// OldStateList old -----------
// update
Pp = GH->PatL[lev];
// update
escalar_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
Pp = GH->PatL[lev];
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
@@ -1512,18 +1995,45 @@ void bssnEScalar_class::Step(int lev, int YN)
sPp = sPp->next;
}
}
#endif
// for black hole position
if (BH_num > 0 && lev == GH->levels - 1)
#endif
#if USE_CUDA_BSSN
bool release_after_sync = false;
if (use_cuda_resident_sync && bssn_escalar_cuda_post_rp_download_level_enabled(lev))
{
escalar_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
release_after_sync = bssn_escalar_cuda_post_swap_release_enabled();
bssn_escalar_cuda_download_level_state(GH->PatL[lev], StateList, myrank, release_after_sync);
if (escalar_step_timing)
escalar_t_resident += MPI_Wtime() - escalar_t0;
}
if (use_cuda_resident_sync && !release_after_sync &&
bssn_escalar_cuda_prune_after_swap_enabled())
{
escalar_t0 = escalar_step_timing ? MPI_Wtime() : 0.0;
bssn_escalar_cuda_keep_only_level_state(GH->PatL[lev], StateList, myrank);
if (escalar_step_timing)
escalar_t_resident += MPI_Wtime() - escalar_t0;
}
#endif
// for black hole position
if (BH_num > 0 && lev == GH->levels - 1)
{
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
Porg0[ithBH][0] = Porg1[ithBH][0];
Porg0[ithBH][1] = Porg1[ithBH][1];
Porg0[ithBH][2] = Porg1[ithBH][2];
}
}
}
Porg0[ithBH][2] = Porg1[ithBH][2];
}
}
if (escalar_step_timing)
{
escalar_t_swap += MPI_Wtime() - escalar_t0;
bssn_escalar_timing_report(myrank, lev, YN, MPI_Wtime() - escalar_step_t0,
escalar_t_rhs, escalar_t_sync, escalar_t_bh,
escalar_t_analysis, escalar_t_swap,
escalar_t_resident, escalar_t_rp);
}
}
//================================================================================================
@@ -2023,12 +2533,13 @@ void bssnEScalar_class::Interp_Constraint()
}
}
ofstream outfile;
char filename[50];
sprintf(filename, "%s/interp_constraint_%05d.dat", ErrorMonitor->out_dir.c_str(), int(PhysTime / dT + 0.5));
// 0.5 for round off
outfile.open(filename);
ofstream outfile;
char suffix[64];
sprintf(suffix, "/interp_constraint_%05d.dat", int(PhysTime / dT + 0.5));
string filename = ErrorMonitor->out_dir + suffix;
// 0.5 for round off
outfile.open(filename.c_str());
outfile << "# corrdinate, H_Res, Px_Res, Py_Res, Pz_Res, Gx_Res, Gy_Res, Gz_Res, fR_Res, ...." << endl;
for (int i = 0; i < n; i++)
{
@@ -2074,14 +2585,44 @@ void bssnEScalar_class::Constraint_Out()
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
if (myrank == cg->rank)
{
if (lev > 0)
f_compute_rhs_bssn_escalar(cg->shape, TRK4, cg->X[0], cg->X[1], cg->X[2],
cg->fgfs[phi0->sgfn], cg->fgfs[trK0->sgfn],
cg->fgfs[gxx0->sgfn], cg->fgfs[gxy0->sgfn], cg->fgfs[gxz0->sgfn],
cg->fgfs[gyy0->sgfn], cg->fgfs[gyz0->sgfn], cg->fgfs[gzz0->sgfn],
Block *cg = BP->data;
if (myrank == cg->rank)
{
bool used_cuda_constraints = false;
#if USE_CUDA_BSSN
{
double *state_in[BSSN_ESCALAR_CUDA_STATE_COUNT];
if (!fill_bssn_escalar_cuda_views(cg, StateList, state_in))
{
cout << "CUDA BSSN-EScalar constraint state list mismatch" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
double *constraint_out[8] = {
cg->fgfs[Cons_Ham->sgfn], cg->fgfs[Cons_Px->sgfn],
cg->fgfs[Cons_Py->sgfn], cg->fgfs[Cons_Pz->sgfn],
cg->fgfs[Cons_Gx->sgfn], cg->fgfs[Cons_Gy->sgfn],
cg->fgfs[Cons_Gz->sgfn], cg->fgfs[Cons_fR->sgfn]};
int lev_arg = lev;
int sym_arg = Symmetry;
double eps_arg = ndeps;
if (bssn_escalar_cuda_compute_constraints(cg->shape, cg->X[0], cg->X[1], cg->X[2],
state_in, constraint_out,
sym_arg, lev_arg, eps_arg))
{
cout << "CUDA BSSN-EScalar constraint compute failed in domain: ("
<< cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
used_cuda_constraints = true;
}
#endif
if (!used_cuda_constraints && lev > 0)
f_compute_rhs_bssn_escalar(cg->shape, TRK4, cg->X[0], cg->X[1], cg->X[2],
cg->fgfs[phi0->sgfn], cg->fgfs[trK0->sgfn],
cg->fgfs[gxx0->sgfn], cg->fgfs[gxy0->sgfn], cg->fgfs[gxz0->sgfn],
cg->fgfs[gyy0->sgfn], cg->fgfs[gyz0->sgfn], cg->fgfs[gzz0->sgfn],
cg->fgfs[Axx0->sgfn], cg->fgfs[Axy0->sgfn], cg->fgfs[Axz0->sgfn],
cg->fgfs[Ayy0->sgfn], cg->fgfs[Ayz0->sgfn], cg->fgfs[Azz0->sgfn],
cg->fgfs[Gmx0->sgfn], cg->fgfs[Gmy0->sgfn], cg->fgfs[Gmz0->sgfn],
@@ -2110,15 +2651,16 @@ void bssnEScalar_class::Constraint_Out()
cg->fgfs[Gamzyy->sgfn], cg->fgfs[Gamzyz->sgfn], cg->fgfs[Gamzzz->sgfn],
cg->fgfs[Rxx->sgfn], cg->fgfs[Rxy->sgfn], cg->fgfs[Rxz->sgfn],
cg->fgfs[Ryy->sgfn], cg->fgfs[Ryz->sgfn], cg->fgfs[Rzz->sgfn],
cg->fgfs[Cons_Ham->sgfn],
cg->fgfs[Cons_Px->sgfn], cg->fgfs[Cons_Py->sgfn], cg->fgfs[Cons_Pz->sgfn],
cg->fgfs[Cons_Gx->sgfn], cg->fgfs[Cons_Gy->sgfn], cg->fgfs[Cons_Gz->sgfn],
Symmetry, lev, ndeps, pre);
f_compute_constraint_fr(cg->shape, cg->X[0], cg->X[1], cg->X[2],
cg->fgfs[phi0->sgfn], cg->fgfs[trK0->sgfn],
cg->fgfs[rho->sgfn], cg->fgfs[Sphi0->sgfn],
cg->fgfs[gxx0->sgfn], cg->fgfs[gxy0->sgfn], cg->fgfs[gxz0->sgfn],
cg->fgfs[gyy0->sgfn], cg->fgfs[gyz0->sgfn], cg->fgfs[gzz0->sgfn],
cg->fgfs[Cons_Ham->sgfn],
cg->fgfs[Cons_Px->sgfn], cg->fgfs[Cons_Py->sgfn], cg->fgfs[Cons_Pz->sgfn],
cg->fgfs[Cons_Gx->sgfn], cg->fgfs[Cons_Gy->sgfn], cg->fgfs[Cons_Gz->sgfn],
Symmetry, lev, ndeps, pre);
if (!used_cuda_constraints)
f_compute_constraint_fr(cg->shape, cg->X[0], cg->X[1], cg->X[2],
cg->fgfs[phi0->sgfn], cg->fgfs[trK0->sgfn],
cg->fgfs[rho->sgfn], cg->fgfs[Sphi0->sgfn],
cg->fgfs[gxx0->sgfn], cg->fgfs[gxy0->sgfn], cg->fgfs[gxz0->sgfn],
cg->fgfs[gyy0->sgfn], cg->fgfs[gyz0->sgfn], cg->fgfs[gzz0->sgfn],
cg->fgfs[Axx0->sgfn], cg->fgfs[Axy0->sgfn], cg->fgfs[Axz0->sgfn],
cg->fgfs[Ayy0->sgfn], cg->fgfs[Ayz0->sgfn], cg->fgfs[Azz0->sgfn],
cg->fgfs[Rxx->sgfn], cg->fgfs[Rxy->sgfn], cg->fgfs[Rxz->sgfn],
+10284 -8394
View File
File diff suppressed because it is too large Load Diff
+12 -8
View File
@@ -45,10 +45,12 @@ public:
int checkrun;
char checkfilename[50];
int Steps;
double StartTime, TotalTime;
double AnasTime, DumpTime, d2DumpTime, CheckTime;
double LastAnas, LastConsOut;
double Courant;
double StartTime, TotalTime;
double AnasTime, DumpTime, d2DumpTime, CheckTime;
double LastAnas, LastConsOut;
bool cuda_level0_constraint_cache_valid;
int *ConstraintRefreshLevels;
double Courant;
double numepss, numepsb, numepsh;
int Symmetry;
int maxl, decn;
@@ -130,17 +132,19 @@ public:
Parallel::SyncCache *sync_cache_cor; // per-level cache for corrector sync
Parallel::SyncCache *sync_cache_rp_coarse; // RestrictProlong sync on PatL[lev-1]
Parallel::SyncCache *sync_cache_rp_fine; // RestrictProlong sync on PatL[lev]
Parallel::SyncCache *sync_cache_restrict; // cached Restrict in RestrictProlong
Parallel::SyncCache *sync_cache_outbd; // cached OutBdLow2Hi in RestrictProlong
monitor *ErrorMonitor, *Psi4Monitor, *BHMonitor, *MAPMonitor;
monitor *ConVMonitor;
surface_integral *Waveshell;
monitor *ErrorMonitor, *Psi4Monitor, *BHMonitor, *MAPMonitor;
monitor *ConVMonitor, *TimingMonitor;
surface_integral *Waveshell;
checkpoint *CheckPoint;
public:
bssn_class(double Couranti, double StartTimei, double TotalTimei, double DumpTimei, double d2DumpTimei, double CheckTimei, double AnasTimei,
int Symmetryi, int checkruni, char *checkfilenamei, double numepssi, double numepsbi, double numepshi,
int a_levi, int maxli, int decni, double maxrexi, double drexi);
~bssn_class();
virtual ~bssn_class();
void Evolve(int Steps);
void RecursiveStep(int lev);
File diff suppressed because it is too large Load Diff
+56 -73
View File
@@ -1,73 +1,56 @@
#ifndef BSSN_GPU_H_
#define BSSN_GPU_H_
#include "bssn_macro.h"
#include "macrodef.fh"
#define DEVICE_ID 0
// #define DEVICE_ID_BY_MPI_RANK
#define GRID_DIM 256
#define BLOCK_DIM 128
#define _FH2_(i, j, k) fh[(i) + (j) * _1D_SIZE[2] + (k) * _2D_SIZE[2]]
#define _FH3_(i, j, k) fh[(i) + (j) * _1D_SIZE[3] + (k) * _2D_SIZE[3]]
#define pow2(x) ((x) * (x))
#define TimeBetween(a, b) ((b.tv_sec - a.tv_sec) + (b.tv_usec - a.tv_usec) / 1000000.0f)
#define M_ metac.
#define Mh_ meta->
#define Ms_ metassc.
#define Msh_ metass->
// #define TIMING
#define RHS_SS_PARA int calledby, int mpi_rank, int *ex, double &T, double *crho, double *sigma, double *R, double *X, double *Y, double *Z, double *drhodx, double *drhody, double *drhodz, double *dsigmadx, double *dsigmady, double *dsigmadz, double *dRdx, double *dRdy, double *dRdz, double *drhodxx, double *drhodxy, double *drhodxz, double *drhodyy, double *drhodyz, double *drhodzz, double *dsigmadxx, double *dsigmadxy, double *dsigmadxz, double *dsigmadyy, double *dsigmadyz, double *dsigmadzz, double *dRdxx, double *dRdxy, double *dRdxz, double *dRdyy, double *dRdyz, double *dRdzz, double *chi, double *trK, double *dxx, double *gxy, double *gxz, double *dyy, double *gyz, double *dzz, double *Axx, double *Axy, double *Axz, double *Ayy, double *Ayz, double *Azz, double *Gamx, double *Gamy, double *Gamz, double *Lap, double *betax, double *betay, double *betaz, double *dtSfx, double *dtSfy, double *dtSfz, double *chi_rhs, double *trK_rhs, double *gxx_rhs, double *gxy_rhs, double *gxz_rhs, double *gyy_rhs, double *gyz_rhs, double *gzz_rhs, double *Axx_rhs, double *Axy_rhs, double *Axz_rhs, double *Ayy_rhs, double *Ayz_rhs, double *Azz_rhs, double *Gamx_rhs, double *Gamy_rhs, double *Gamz_rhs, double *Lap_rhs, double *betax_rhs, double *betay_rhs, double *betaz_rhs, double *dtSfx_rhs, double *dtSfy_rhs, double *dtSfz_rhs, double *rho, double *Sx, double *Sy, double *Sz, double *Sxx, double *Sxy, double *Sxz, double *Syy, double *Syz, double *Szz, double *Gamxxx, double *Gamxxy, double *Gamxxz, double *Gamxyy, double *Gamxyz, double *Gamxzz, double *Gamyxx, double *Gamyxy, double *Gamyxz, double *Gamyyy, double *Gamyyz, double *Gamyzz, double *Gamzxx, double *Gamzxy, double *Gamzxz, double *Gamzyy, double *Gamzyz, double *Gamzzz, double *Rxx, double *Rxy, double *Rxz, double *Ryy, double *Ryz, double *Rzz, double *ham_Res, double *movx_Res, double *movy_Res, double *movz_Res, double *Gmx_Res, double *Gmy_Res, double *Gmz_Res, int &Symmetry, int &Lev, double &eps, int &sst, int &co
/** main function */
int gpu_rhs(int calledby, int mpi_rank, int *ex, double &T,
double *X, double *Y, double *Z,
double *chi, double *trK,
double *dxx, double *gxy, double *gxz, double *dyy, double *gyz, double *dzz,
double *Axx, double *Axy, double *Axz, double *Ayy, double *Ayz, double *Azz,
double *Gamx, double *Gamy, double *Gamz,
double *Lap, double *betax, double *betay, double *betaz,
double *dtSfx, double *dtSfy, double *dtSfz,
double *chi_rhs, double *trK_rhs,
double *gxx_rhs, double *gxy_rhs, double *gxz_rhs, double *gyy_rhs, double *gyz_rhs, double *gzz_rhs,
double *Axx_rhs, double *Axy_rhs, double *Axz_rhs, double *Ayy_rhs, double *Ayz_rhs, double *Azz_rhs,
double *Gamx_rhs, double *Gamy_rhs, double *Gamz_rhs,
double *Lap_rhs, double *betax_rhs, double *betay_rhs, double *betaz_rhs,
double *dtSfx_rhs, double *dtSfy_rhs, double *dtSfz_rhs,
double *rho, double *Sx, double *Sy, double *Sz, double *Sxx,
double *Sxy, double *Sxz, double *Syy, double *Syz, double *Szz,
double *Gamxxx, double *Gamxxy, double *Gamxxz, double *Gamxyy, double *Gamxyz, double *Gamxzz,
double *Gamyxx, double *Gamyxy, double *Gamyxz, double *Gamyyy, double *Gamyyz, double *Gamyzz,
double *Gamzxx, double *Gamzxy, double *Gamzxz, double *Gamzyy, double *Gamzyz, double *Gamzzz,
double *Rxx, double *Rxy, double *Rxz, double *Ryy, double *Ryz, double *Rzz,
double *ham_Res, double *movx_Res, double *movy_Res, double *movz_Res,
double *Gmx_Res, double *Gmy_Res, double *Gmz_Res,
int &Symmetry, int &Lev, double &eps, int &co);
int gpu_rhs_ss(RHS_SS_PARA);
/** Init GPU side data in GPUMeta. */
// void init_fluid_meta_gpu(GPUMeta *gpu_meta);
#endif
#ifndef BSSN_GPU_H_
#define BSSN_GPU_H_
#include "bssn_macro.h"
#include "macrodef.h"
#define DEVICE_ID 0
// #define DEVICE_ID_BY_MPI_RANK
#define GRID_DIM 256
#define BLOCK_DIM 128
#define _FH2_(i, j, k) fh[(i) + (j) * _1D_SIZE[2] + (k) * _2D_SIZE[2]]
#define _FH3_(i, j, k) fh[(i) + (j) * _1D_SIZE[3] + (k) * _2D_SIZE[3]]
#define pow2(x) ((x) * (x))
#define TimeBetween(a, b) ((b.tv_sec - a.tv_sec) + (b.tv_usec - a.tv_usec) / 1000000.0f)
#define M_ metac.
#define Mh_ meta->
#define Ms_ metassc.
#define Msh_ metass->
// #define TIMING
#define RHS_SS_PARA int calledby, int mpi_rank, int *ex, double &T, double *crho, double *sigma, double *R, double *X, double *Y, double *Z, double *drhodx, double *drhody, double *drhodz, double *dsigmadx, double *dsigmady, double *dsigmadz, double *dRdx, double *dRdy, double *dRdz, double *drhodxx, double *drhodxy, double *drhodxz, double *drhodyy, double *drhodyz, double *drhodzz, double *dsigmadxx, double *dsigmadxy, double *dsigmadxz, double *dsigmadyy, double *dsigmadyz, double *dsigmadzz, double *dRdxx, double *dRdxy, double *dRdxz, double *dRdyy, double *dRdyz, double *dRdzz, double *chi, double *trK, double *dxx, double *gxy, double *gxz, double *dyy, double *gyz, double *dzz, double *Axx, double *Axy, double *Axz, double *Ayy, double *Ayz, double *Azz, double *Gamx, double *Gamy, double *Gamz, double *Lap, double *betax, double *betay, double *betaz, double *dtSfx, double *dtSfy, double *dtSfz, double *chi_rhs, double *trK_rhs, double *gxx_rhs, double *gxy_rhs, double *gxz_rhs, double *gyy_rhs, double *gyz_rhs, double *gzz_rhs, double *Axx_rhs, double *Axy_rhs, double *Axz_rhs, double *Ayy_rhs, double *Ayz_rhs, double *Azz_rhs, double *Gamx_rhs, double *Gamy_rhs, double *Gamz_rhs, double *Lap_rhs, double *betax_rhs, double *betay_rhs, double *betaz_rhs, double *dtSfx_rhs, double *dtSfy_rhs, double *dtSfz_rhs, double *rho, double *Sx, double *Sy, double *Sz, double *Sxx, double *Sxy, double *Sxz, double *Syy, double *Syz, double *Szz, double *Gamxxx, double *Gamxxy, double *Gamxxz, double *Gamxyy, double *Gamxyz, double *Gamxzz, double *Gamyxx, double *Gamyxy, double *Gamyxz, double *Gamyyy, double *Gamyyz, double *Gamyzz, double *Gamzxx, double *Gamzxy, double *Gamzxz, double *Gamzyy, double *Gamzyz, double *Gamzzz, double *Rxx, double *Rxy, double *Rxz, double *Ryy, double *Ryz, double *Rzz, double *ham_Res, double *movx_Res, double *movy_Res, double *movz_Res, double *Gmx_Res, double *Gmy_Res, double *Gmz_Res, int &Symmetry, int &Lev, double &eps, int &sst, int &co
/** main function */
int gpu_rhs(int calledby, int mpi_rank, int *ex, double &T,
double *X, double *Y, double *Z,
double *chi, double *trK,
double *dxx, double *gxy, double *gxz, double *dyy, double *gyz, double *dzz,
double *Axx, double *Axy, double *Axz, double *Ayy, double *Ayz, double *Azz,
double *Gamx, double *Gamy, double *Gamz,
double *Lap, double *betax, double *betay, double *betaz,
double *dtSfx, double *dtSfy, double *dtSfz,
double *chi_rhs, double *trK_rhs,
double *gxx_rhs, double *gxy_rhs, double *gxz_rhs, double *gyy_rhs, double *gyz_rhs, double *gzz_rhs,
double *Axx_rhs, double *Axy_rhs, double *Axz_rhs, double *Ayy_rhs, double *Ayz_rhs, double *Azz_rhs,
double *Gamx_rhs, double *Gamy_rhs, double *Gamz_rhs,
double *Lap_rhs, double *betax_rhs, double *betay_rhs, double *betaz_rhs,
double *dtSfx_rhs, double *dtSfy_rhs, double *dtSfz_rhs,
double *rho, double *Sx, double *Sy, double *Sz, double *Sxx,
double *Sxy, double *Sxz, double *Syy, double *Syz, double *Szz,
double *Gamxxx, double *Gamxxy, double *Gamxxz, double *Gamxyy, double *Gamxyz, double *Gamxzz,
double *Gamyxx, double *Gamyxy, double *Gamyxz, double *Gamyyy, double *Gamyyz, double *Gamyzz,
double *Gamzxx, double *Gamzxy, double *Gamzxz, double *Gamzyy, double *Gamzyz, double *Gamzzz,
double *Rxx, double *Rxy, double *Rxz, double *Ryy, double *Ryz, double *Rzz,
double *ham_Res, double *movx_Res, double *movy_Res, double *movz_Res,
double *Gmx_Res, double *Gmy_Res, double *Gmz_Res,
int &Symmetry, int &Lev, double &eps, int &co);
int gpu_rhs_ss(RHS_SS_PARA);
#define Z4C_SS_PARA int calledby, int mpi_rank, int *ex, double &T, double *crho, double *sigma, double *R, double *X, double *Y, double *Z, double *drhodx, double *drhody, double *drhodz, double *dsigmadx, double *dsigmady, double *dsigmadz, double *dRdx, double *dRdy, double *dRdz, double *drhodxx, double *drhodxy, double *drhodxz, double *drhodyy, double *drhodyz, double *drhodzz, double *dsigmadxx, double *dsigmadxy, double *dsigmadxz, double *dsigmadyy, double *dsigmadyz, double *dsigmadzz, double *dRdxx, double *dRdxy, double *dRdxz, double *dRdyy, double *dRdyz, double *dRdzz, double *chi, double *trK, double *dxx, double *gxy, double *gxz, double *dyy, double *gyz, double *dzz, double *Axx, double *Axy, double *Axz, double *Ayy, double *Ayz, double *Azz, double *Gamx, double *Gamy, double *Gamz, double *Lap, double *betax, double *betay, double *betaz, double *dtSfx, double *dtSfy, double *dtSfz, double *TZ, double *chi_rhs, double *trK_rhs, double *gxx_rhs, double *gxy_rhs, double *gxz_rhs, double *gyy_rhs, double *gyz_rhs, double *gzz_rhs, double *Axx_rhs, double *Axy_rhs, double *Axz_rhs, double *Ayy_rhs, double *Ayz_rhs, double *Azz_rhs, double *Gamx_rhs, double *Gamy_rhs, double *Gamz_rhs, double *Lap_rhs, double *betax_rhs, double *betay_rhs, double *betaz_rhs, double *dtSfx_rhs, double *dtSfy_rhs, double *dtSfz_rhs, double *TZ_rhs, double *rho, double *Sx, double *Sy, double *Sz, double *Sxx, double *Sxy, double *Sxz, double *Syy, double *Syz, double *Szz, double *Gamxxx, double *Gamxxy, double *Gamxxz, double *Gamxyy, double *Gamxyz, double *Gamxzz, double *Gamyxx, double *Gamyxy, double *Gamyxz, double *Gamyyy, double *Gamyyz, double *Gamyzz, double *Gamzxx, double *Gamzxy, double *Gamzxz, double *Gamzyy, double *Gamzyz, double *Gamzzz, double *Rxx, double *Rxy, double *Rxz, double *Ryy, double *Ryz, double *Rzz, double *ham_Res, double *movx_Res, double *movy_Res, double *movz_Res, double *Gmx_Res, double *Gmy_Res, double *Gmz_Res, int &Symmetry, int &Lev, double &eps, int &sst, int &co
int gpu_rhs_z4c_ss(Z4C_SS_PARA);
#endif
File diff suppressed because it is too large Load Diff
-210
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@@ -1,210 +0,0 @@
#ifndef BSSN_GPU_CLASS_H
#define BSSN_GPU_CLASS_H
#ifdef newc
#include <iostream>
#include <iomanip>
#include <fstream>
#include <cstdlib>
#include <string>
#include <cmath>
using namespace std;
#else
#include <iostream.h>
#include <iomanip.h>
#include <fstream.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#endif
#include <mpi.h>
#include "macrodef.h"
#include "cgh.h"
#include "ShellPatch.h"
#include "misc.h"
#include "var.h"
#include "MyList.h"
#include "monitor.h"
#include "surface_integral.h"
#include "checkpoint.h"
// added by yangquan
#include "bssn_macro.h"
extern void setpbh(int iBHN, double **iPBH, double *iMass, int rBHN);
class bssn_class
{
public:
// added by yangquan
//----------------------
int gpu_num_mynode;
int cpu_core_num_mynode;
int mpi_process_num_mynode;
int my_sequence_mynode;
int mynode_id;
int use_gpu;
virtual void Step_GPU(int lev, int YN);
virtual void Get_runtime_envirment();
// virtual void Step_OPENMP(int lev,int YN);
//----------------------
int ngfs;
int nprocs, myrank;
cgh *GH;
ShellPatch *SH;
double PhysTime;
int checkrun;
char checkfilename[50];
int Steps;
double StartTime, TotalTime;
double AnasTime, DumpTime, d2DumpTime, CheckTime;
double LastAnas, LastConsOut;
double Courant;
double numepss, numepsb, numepsh;
int Symmetry;
int maxl, decn;
double maxrex, drex;
int trfls, a_lev;
double dT;
double chitiny;
double **Porg0, **Porgbr, **Porg, **Porg1, **Porg_rhs;
int BH_num, BH_num_input;
double *Mass, *Pmom, *Spin;
double ADMMass;
var *phio, *trKo;
var *gxxo, *gxyo, *gxzo, *gyyo, *gyzo, *gzzo;
var *Axxo, *Axyo, *Axzo, *Ayyo, *Ayzo, *Azzo;
var *Gmxo, *Gmyo, *Gmzo;
var *Lapo, *Sfxo, *Sfyo, *Sfzo;
var *dtSfxo, *dtSfyo, *dtSfzo;
var *phi0, *trK0;
var *gxx0, *gxy0, *gxz0, *gyy0, *gyz0, *gzz0;
var *Axx0, *Axy0, *Axz0, *Ayy0, *Ayz0, *Azz0;
var *Gmx0, *Gmy0, *Gmz0;
var *Lap0, *Sfx0, *Sfy0, *Sfz0;
var *dtSfx0, *dtSfy0, *dtSfz0;
var *phi, *trK;
var *gxx, *gxy, *gxz, *gyy, *gyz, *gzz;
var *Axx, *Axy, *Axz, *Ayy, *Ayz, *Azz;
var *Gmx, *Gmy, *Gmz;
var *Lap, *Sfx, *Sfy, *Sfz;
var *dtSfx, *dtSfy, *dtSfz;
var *phi1, *trK1;
var *gxx1, *gxy1, *gxz1, *gyy1, *gyz1, *gzz1;
var *Axx1, *Axy1, *Axz1, *Ayy1, *Ayz1, *Azz1;
var *Gmx1, *Gmy1, *Gmz1;
var *Lap1, *Sfx1, *Sfy1, *Sfz1;
var *dtSfx1, *dtSfy1, *dtSfz1;
var *phi_rhs, *trK_rhs;
var *gxx_rhs, *gxy_rhs, *gxz_rhs, *gyy_rhs, *gyz_rhs, *gzz_rhs;
var *Axx_rhs, *Axy_rhs, *Axz_rhs, *Ayy_rhs, *Ayz_rhs, *Azz_rhs;
var *Gmx_rhs, *Gmy_rhs, *Gmz_rhs;
var *Lap_rhs, *Sfx_rhs, *Sfy_rhs, *Sfz_rhs;
var *dtSfx_rhs, *dtSfy_rhs, *dtSfz_rhs;
var *rho, *Sx, *Sy, *Sz, *Sxx, *Sxy, *Sxz, *Syy, *Syz, *Szz;
var *Gamxxx, *Gamxxy, *Gamxxz, *Gamxyy, *Gamxyz, *Gamxzz;
var *Gamyxx, *Gamyxy, *Gamyxz, *Gamyyy, *Gamyyz, *Gamyzz;
var *Gamzxx, *Gamzxy, *Gamzxz, *Gamzyy, *Gamzyz, *Gamzzz;
var *Rxx, *Rxy, *Rxz, *Ryy, *Ryz, *Rzz;
var *Rpsi4, *Ipsi4;
var *t1Rpsi4, *t1Ipsi4, *t2Rpsi4, *t2Ipsi4;
var *Cons_Ham, *Cons_Px, *Cons_Py, *Cons_Pz, *Cons_Gx, *Cons_Gy, *Cons_Gz;
#ifdef Point_Psi4
var *phix, *phiy, *phiz;
var *trKx, *trKy, *trKz;
var *Axxx, *Axxy, *Axxz;
var *Axyx, *Axyy, *Axyz;
var *Axzx, *Axzy, *Axzz;
var *Ayyx, *Ayyy, *Ayyz;
var *Ayzx, *Ayzy, *Ayzz;
var *Azzx, *Azzy, *Azzz;
#endif
// FIXME: uc = StateList, up = OldStateList, upp = SynchList_cor; so never touch these three data
MyList<var> *StateList, *SynchList_pre, *SynchList_cor, *RHSList;
MyList<var> *OldStateList, *DumpList;
MyList<var> *ConstraintList;
monitor *ErrorMonitor, *Psi4Monitor, *BHMonitor, *MAPMonitor;
monitor *ConVMonitor;
surface_integral *Waveshell;
checkpoint *CheckPoint;
public:
bssn_class(double Couranti, double StartTimei, double TotalTimei, double DumpTimei, double d2DumpTimei, double CheckTimei, double AnasTimei,
int Symmetryi, int checkruni, char *checkfilenamei, double numepssi, double numepsbi, double numepshi,
int a_levi, int maxli, int decni, double maxrexi, double drexi);
~bssn_class();
void Evolve(int Steps);
void RecursiveStep(int lev);
#if (PSTR == 1)
void ParallelStep();
void SHStep();
#endif
void RestrictProlong(int lev, int YN, bool BB, MyList<var> *SL, MyList<var> *OL, MyList<var> *corL);
void RestrictProlong_aux(int lev, int YN, bool BB, MyList<var> *SL, MyList<var> *OL, MyList<var> *corL);
void RestrictProlong(int lev, int YN, bool BB);
void ProlongRestrict(int lev, int YN, bool BB);
void Setup_Black_Hole_position();
void compute_Porg_rhs(double **BH_PS, double **BH_RHS, var *forx, var *fory, var *forz, int lev);
bool read_Pablo_file(int *ext, double *datain, char *filename);
void write_Pablo_file(int *ext, double xmin, double xmax, double ymin, double ymax, double zmin, double zmax,
char *filename);
void AnalysisStuff(int lev, double dT_lev);
void Setup_KerrSchild();
void Enforce_algcon(int lev, int fg);
void testRestrict();
void testOutBd();
virtual void Setup_Initial_Data_Lousto();
virtual void Setup_Initial_Data_Cao();
virtual void Initialize();
virtual void Read_Ansorg();
virtual void Read_Pablo() {};
virtual void Compute_Psi4(int lev);
virtual void Step(int lev, int YN);
virtual void Interp_Constraint(bool infg);
virtual void Constraint_Out();
virtual void Compute_Constraint();
#ifdef With_AHF
protected:
MyList<var> *AHList, *AHDList, *GaugeList;
int AHfindevery;
double AHdumptime;
int *lastahdumpid, HN_num; // number of possible horizons
int *findeveryl;
double *xc, *yc, *zc, *xr, *yr, *zr;
bool *trigger;
double *dTT;
int *dumpid;
public:
void AH_Prepare_derivatives();
bool AH_Interp_Points(MyList<var> *VarList,
int NN, double **XX,
double *Shellf, int Symmetryi);
void AH_Step_Find(int lev, double dT_lev);
#endif
};
#endif /* BSSN_GPU_CLASS_H */
+87 -34
View File
@@ -20,12 +20,14 @@ using namespace std;
__device__ volatile unsigned int global_count = 0;
#ifdef RESULT_CHECK
void compare_result_gpu(int ftag1,double * datac,int data_num){
double * data = (double*)malloc(sizeof(double)*data_num);
cudaMemcpy(data, datac, data_num * sizeof(double), cudaMemcpyDeviceToHost);
compare_result(ftag1,data,data_num);
free(data);
}
#endif
__global__ void sub_symmetry_bd_ss_partF(int ord, double * func, double *funcc)
{
@@ -153,11 +155,11 @@ __global__ void sub_symmetry_bd_ss_partJ(int ord,double * func, double * funcc,d
inline void sub_symmetry_bd_ss(int ord,double * func, double * funcc,double * SoA){
sub_symmetry_bd_ss_partF<<<GRID_DIM,BLOCK_DIM>>>(ord,func,funcc);
cudaThreadSynchronize();
cudaDeviceSynchronize();
sub_symmetry_bd_ss_partI<<<GRID_DIM,BLOCK_DIM>>>(ord,func,funcc,SoA[0]);
cudaThreadSynchronize();
cudaDeviceSynchronize();
sub_symmetry_bd_ss_partJ<<<GRID_DIM,BLOCK_DIM>>>(ord,func,funcc,SoA[1]);
cudaThreadSynchronize();
cudaDeviceSynchronize();
}
__global__ void sub_fderivs_shc_part1(double *fx,double *fy,double *fz){
@@ -247,13 +249,13 @@ inline void sub_fderivs_shc(int& sst,double * f,double * fh,double *fx,double *f
//cudaMemset(Msh_ gy,0,h_3D_SIZE[0] * sizeof(double));
//cudaMemset(Msh_ gz,0,h_3D_SIZE[0] * sizeof(double));
sub_symmetry_bd_ss(2,f,fh,SoA1);
cudaThreadSynchronize();
cudaDeviceSynchronize();
//compare_result_gpu(0,fh,h_3D_SIZE[2]);
sub_fderivs_sh<<<GRID_DIM,BLOCK_DIM>>>(fh,Msh_ gx,Msh_ gy,Msh_ gz);
cudaThreadSynchronize();
cudaDeviceSynchronize();
sub_fderivs_shc_part1<<<GRID_DIM,BLOCK_DIM>>>(fx,fy,fz);
cudaThreadSynchronize();
cudaDeviceSynchronize();
//compare_result_gpu(1,fx,h_3D_SIZE[0]);
//compare_result_gpu(2,fy,h_3D_SIZE[0]);
//compare_result_gpu(3,fz,h_3D_SIZE[0]);
@@ -451,17 +453,17 @@ inline void sub_fdderivs_shc(int& sst,double * f,double * fh,
//fderivs_sh
sub_symmetry_bd_ss(2,f,fh,SoA1);
cudaThreadSynchronize();
cudaDeviceSynchronize();
//compare_result_gpu(1,fh,h_3D_SIZE[2]);
sub_fderivs_sh<<<GRID_DIM,BLOCK_DIM>>>(fh,Msh_ gx,Msh_ gy,Msh_ gz);
cudaThreadSynchronize();
cudaDeviceSynchronize();
//fdderivs_sh
sub_symmetry_bd_ss(2,f,fh,SoA1);
cudaThreadSynchronize();
cudaDeviceSynchronize();
//compare_result_gpu(21,fh,h_3D_SIZE[2]);
sub_fdderivs_sh<<<GRID_DIM,BLOCK_DIM>>>(fh,Msh_ gxx,Msh_ gxy,Msh_ gxz,Msh_ gyy,Msh_ gyz,Msh_ gzz);
cudaThreadSynchronize();
cudaDeviceSynchronize();
/*compare_result_gpu(11,Msh_ gx,h_3D_SIZE[0]);
compare_result_gpu(12,Msh_ gy,h_3D_SIZE[0]);
compare_result_gpu(13,Msh_ gz,h_3D_SIZE[0]);
@@ -472,7 +474,7 @@ inline void sub_fdderivs_shc(int& sst,double * f,double * fh,
compare_result_gpu(5,Msh_ gyz,h_3D_SIZE[0]);
compare_result_gpu(6,Msh_ gzz,h_3D_SIZE[0]);*/
sub_fdderivs_shc_part1<<<GRID_DIM,BLOCK_DIM>>>(fxx,fxy,fxz,fyy,fyz,fzz);
cudaThreadSynchronize();
cudaDeviceSynchronize();
/*compare_result_gpu(1,fxx,h_3D_SIZE[0]);
compare_result_gpu(2,fxy,h_3D_SIZE[0]);
compare_result_gpu(3,fxz,h_3D_SIZE[0]);
@@ -496,9 +498,9 @@ __global__ void computeRicci_ss_part1(double * dst)
inline void computeRicci_ss(int &sst,double * src,double* dst,double * SoA, Meta* meta)
{
sub_fdderivs_shc(sst,src,Mh_ fh,Mh_ fxx,Mh_ fxy,Mh_ fxz,Mh_ fyy,Mh_ fyz,Mh_ fzz,SoA);
cudaThreadSynchronize();
cudaDeviceSynchronize();
computeRicci_ss_part1<<<GRID_DIM,BLOCK_DIM>>>(dst);
cudaThreadSynchronize();
cudaDeviceSynchronize();
}
__global__ void sub_lopsided_ss_part1(double * dst)
@@ -516,9 +518,9 @@ __global__ void sub_lopsided_ss_part1(double * dst)
inline void sub_lopsided_ss(int& sst,double *src,double* dst,double *SoA)
{
sub_fderivs_shc(sst,src,Mh_ fh,Mh_ fxx,Mh_ fxy,Mh_ fxz,SoA);
cudaThreadSynchronize();
cudaDeviceSynchronize();
sub_lopsided_ss_part1<<<GRID_DIM,BLOCK_DIM>>>(dst);
cudaThreadSynchronize();
cudaDeviceSynchronize();
}
__global__ void sub_kodis_sh_part1(double *f,double *fh,double *f_rhs)
@@ -590,11 +592,11 @@ inline void sub_kodis_ss(int &sst,double *f,double *fh,double *f_rhs,double *SoA
}
//compare_result_gpu(10,f,h_3D_SIZE[0]);
sub_symmetry_bd_ss(3,f,fh,SoA1);
cudaThreadSynchronize();
cudaDeviceSynchronize();
//compare_result_gpu(0,fh,h_3D_SIZE[3]);
sub_kodis_sh_part1<<<GRID_DIM,BLOCK_DIM>>>(f,fh,f_rhs);
cudaThreadSynchronize();
cudaDeviceSynchronize();
//compare_result_gpu(1,f_rhs,h_3D_SIZE[0]);
}
@@ -1699,7 +1701,7 @@ void destroy_meta(Meta *meta,Metass *metass)
if(Msh_ gzz) cudaFree(Msh_ gzz);
#if (GAUGE == 2 || GAUGE == 3 || GAUGE == 4 || GAUGE == 5 || GAUGE == 6 || GAUGE == 7)
if(Mh_ reta) CUDA_SAFE_CALL(cudaFree(Mh_ reta));
if(Mh_ reta) cudaFree(Mh_ reta);
#endif
@@ -1895,7 +1897,7 @@ int gpu_rhs_ss(RHS_SS_PARA)
//1.2 local Data
cudaMalloc((void**)&(Mh_ gxx), matrix_size * sizeof(double));
CUDA_SAFE_CALL( cudaMalloc((void**)&(Mh_ gyy), matrix_size * sizeof(double)));
cudaMalloc((void**)&(Mh_ gyy), matrix_size * sizeof(double));
cudaMalloc((void**)&(Mh_ gzz), matrix_size * sizeof(double));
cudaMalloc((void**)&(Mh_ chix), matrix_size * sizeof(double));
cudaMalloc((void**)&(Mh_ chiy), matrix_size * sizeof(double));
@@ -2160,7 +2162,7 @@ int gpu_rhs_ss(RHS_SS_PARA)
double tmp_con2 = 1/Mass[0] - tmp_con;
cudaMemcpyToSymbol(C1, &tmp_con2, sizeof(double));
double tmp_con2 = 1/Mass[1] - tmp_con;
tmp_con2 = 1/Mass[1] - tmp_con;
cudaMemcpyToSymbol(C2, &tmp_con2, sizeof(double));
@@ -2233,7 +2235,7 @@ int gpu_rhs_ss(RHS_SS_PARA)
if((sst == 2 || sst == 4) && abs[1] < dYh)
{
ijkmin_h[1] = -2;
ijkmin_h[1] = -3;
ijkmin3_h[1] = -3;
}
if((sst == 3 || sst == 5) && abs_Y_ex2 < dYh)
{
@@ -2287,13 +2289,13 @@ int gpu_rhs_ss(RHS_SS_PARA)
#ifdef TIMING1
cudaThreadSynchronize();
cudaDeviceSynchronize();
gettimeofday(&tv2, NULL);
cout<<"TIME USED"<<TimeBetween(tv1, tv2)<<endl;
#endif
//cout<<"GPU meta data ready.\n";
cudaThreadSynchronize();
cudaDeviceSynchronize();
//-------------get device info-------------------------------------
@@ -2306,7 +2308,7 @@ int gpu_rhs_ss(RHS_SS_PARA)
//sub_enforce_ga(matrix_size);
//4.1-----compute rhs---------
compute_rhs_ss_part1<<<GRID_DIM,BLOCK_DIM>>>();
cudaThreadSynchronize();
cudaDeviceSynchronize();
sub_fderivs_shc(sst,Mh_ betax,Mh_ fh,Mh_ betaxx,Mh_ betaxy,Mh_ betaxz,ass);
sub_fderivs_shc(sst,Mh_ betay,Mh_ fh,Mh_ betayx,Mh_ betayy,Mh_ betayz,sas);
@@ -2322,7 +2324,7 @@ int gpu_rhs_ss(RHS_SS_PARA)
sub_fderivs_shc(sst,Mh_ gyz,Mh_ fh,Mh_ gyzx,Mh_ gyzy,Mh_ gyzz, saa);
compute_rhs_ss_part2<<<GRID_DIM,BLOCK_DIM>>>();
cudaThreadSynchronize();
cudaDeviceSynchronize();
sub_fdderivs_shc(sst,Mh_ betax,Mh_ fh,Mh_ gxxx,Mh_ gxyx,Mh_ gxzx,Mh_ gyyx,Mh_ gyzx,Mh_ gzzx,ass);
sub_fdderivs_shc(sst,Mh_ betay,Mh_ fh,Mh_ gxxy,Mh_ gxyy,Mh_ gxzy,Mh_ gyyy,Mh_ gyzy,Mh_ gzzy,sas);
@@ -2332,7 +2334,7 @@ int gpu_rhs_ss(RHS_SS_PARA)
sub_fderivs_shc( sst,Mh_ Gamz, Mh_ fh,Mh_ Gamzx, Mh_ Gamzy, Mh_ Gamzz,ssa);
compute_rhs_ss_part3<<<GRID_DIM,BLOCK_DIM>>>();
cudaThreadSynchronize();
cudaDeviceSynchronize();
computeRicci_ss(sst,Mh_ dxx,Mh_ Rxx,sss, meta);
computeRicci_ss(sst,Mh_ dyy,Mh_ Ryy,sss, meta);
@@ -2340,25 +2342,25 @@ int gpu_rhs_ss(RHS_SS_PARA)
computeRicci_ss(sst,Mh_ gxy,Mh_ Rxy,aas, meta);
computeRicci_ss(sst,Mh_ gxz,Mh_ Rxz,asa, meta);
computeRicci_ss(sst,Mh_ gyz,Mh_ Ryz,saa, meta);
cudaThreadSynchronize();
cudaDeviceSynchronize();
compute_rhs_ss_part4<<<GRID_DIM,BLOCK_DIM>>>();
cudaThreadSynchronize();
cudaDeviceSynchronize();
sub_fdderivs_shc(sst,Mh_ chi,Mh_ fh,Mh_ fxx,Mh_ fxy,Mh_ fxz,Mh_ fyy,Mh_ fyz,Mh_ fzz,sss);
//cudaThreadSynchronize();
//cudaDeviceSynchronize();
//compare_result_gpu(0,Mh_ chi,h_3D_SIZE[0]);
//compare_result_gpu(1,Mh_ chi,h_3D_SIZE[0]);
//compare_result_gpu(2,Mh_ fyz,h_3D_SIZE[0]);
compute_rhs_ss_part5<<<GRID_DIM,BLOCK_DIM>>>();
cudaThreadSynchronize();
cudaDeviceSynchronize();
sub_fdderivs_shc(sst,Mh_ Lap,Mh_ fh,Mh_ fxx,Mh_ fxy,Mh_ fxz,Mh_ fyy,Mh_ fyz,Mh_ fzz,sss);
compute_rhs_ss_part6<<<GRID_DIM,BLOCK_DIM>>>();
cudaThreadSynchronize();
cudaDeviceSynchronize();
#if (GAUGE == 2 || GAUGE == 3 || GAUGE == 4 || GAUGE == 5)
sub_fderivs_shc(sst,Mh_ chi,Mh_ fh, Mh_ dtSfx_rhs, Mh_ dtSfy_rhs, Mh_ dtSfz_rhs,sss);
@@ -2423,7 +2425,7 @@ int gpu_rhs_ss(RHS_SS_PARA)
}
if(co == 0){
compute_rhs_ss_part7<<<GRID_DIM,BLOCK_DIM>>>();
cudaThreadSynchronize();
cudaDeviceSynchronize();
sub_fderivs_shc(sst,Mh_ Axx,Mh_ fh,Mh_ gxxx,Mh_ gxxy,Mh_ gxxz,sss);
sub_fderivs_shc(sst,Mh_ Axy,Mh_ fh,Mh_ gxyx,Mh_ gxyy,Mh_ gxyz,aas);
@@ -2432,7 +2434,7 @@ int gpu_rhs_ss(RHS_SS_PARA)
sub_fderivs_shc(sst,Mh_ Ayz,Mh_ fh,Mh_ gyzx,Mh_ gyzy,Mh_ gyzz,saa);
sub_fderivs_shc(sst,Mh_ Azz,Mh_ fh,Mh_ gzzx,Mh_ gzzy,Mh_ gzzz,sss);
compute_rhs_ss_part8<<<GRID_DIM,BLOCK_DIM>>>();
cudaThreadSynchronize();
cudaDeviceSynchronize();
}
#if (ABV == 1)
@@ -2512,7 +2514,7 @@ int gpu_rhs_ss(RHS_SS_PARA)
//test kodis
//sub_kodis_sh(sst,Msh_ drhodx,Mh_ fh2,Msh_ drhody,sss);
#ifdef TIMING
cudaThreadSynchronize();
cudaDeviceSynchronize();
gettimeofday(&tv2, NULL);
cout<<"MPI rank is: "<<mpi_rank<<" GPU TIME is"<<TimeBetween(tv1, tv2)<<" (s)."<<endl;
#endif
@@ -2522,4 +2524,55 @@ int gpu_rhs_ss(RHS_SS_PARA)
return 0;//TODO return
}
#if (ABEtype == 2)
// Z4C Shell GPU: calls BSSN gpu_rhs_ss with trKd=trK+2*TZ, then applies
// TZ_rhs = alpn1*Hcon/2 and constraint damping on CPU.
int gpu_rhs_z4c_ss(Z4C_SS_PARA)
{
int matrix_size = ex[0] * ex[1] * ex[2];
double k1 = 0.02, k2 = 0.0;
double *trKd_host = new double[matrix_size];
for (int _i = 0; _i < matrix_size; _i++)
trKd_host[_i] = trK[_i] + 2.0 * TZ[_i];
int result = gpu_rhs_ss(calledby, mpi_rank,
ex, T, crho, sigma, R, X, Y, Z,
drhodx, drhody, drhodz, dsigmadx, dsigmady, dsigmadz,
dRdx, dRdy, dRdz,
drhodxx, drhodxy, drhodxz, drhodyy, drhodyz, drhodzz,
dsigmadxx, dsigmadxy, dsigmadxz, dsigmadyy, dsigmadyz, dsigmadzz,
dRdxx, dRdxy, dRdxz, dRdyy, dRdyz, dRdzz,
chi, trKd_host, dxx, gxy, gxz, dyy, gyz, dzz,
Axx, Axy, Axz, Ayy, Ayz, Azz,
Gamx, Gamy, Gamz,
Lap, betax, betay, betaz,
dtSfx, dtSfy, dtSfz,
chi_rhs, trK_rhs,
gxx_rhs, gxy_rhs, gxz_rhs, gyy_rhs, gyz_rhs, gzz_rhs,
Axx_rhs, Axy_rhs, Axz_rhs, Ayy_rhs, Ayz_rhs, Azz_rhs,
Gamx_rhs, Gamy_rhs, Gamz_rhs,
Lap_rhs, betax_rhs, betay_rhs, betaz_rhs,
dtSfx_rhs, dtSfy_rhs, dtSfz_rhs,
rho, Sx, Sy, Sz, Sxx, Sxy, Sxz, Syy, Syz, Szz,
Gamxxx, Gamxxy, Gamxxz, Gamxyy, Gamxyz, Gamxzz,
Gamyxx, Gamyxy, Gamyxz, Gamyyy, Gamyyz, Gamyzz,
Gamzxx, Gamzxy, Gamzxz, Gamzyy, Gamzyz, Gamzzz,
Rxx, Rxy, Rxz, Ryy, Ryz, Rzz,
ham_Res, movx_Res, movy_Res, movz_Res,
Gmx_Res, Gmy_Res, Gmz_Res,
Symmetry, Lev, eps, sst, co);
delete[] trKd_host;
if (result != 0) return result;
for (int _i = 0; _i < matrix_size; _i++) {
double alp = Lap[_i] + 1.0;
TZ_rhs[_i] = alp * ham_Res[_i] * 0.5;
TZ_rhs[_i] -= alp * (2.0 + k2) * k1 * TZ[_i];
trK_rhs[_i] += alp * k1 * (1.0 - k2) * TZ[_i];
}
return 0;
}
#endif // ABEtype == 2
#endif //WithShell
+454 -402
View File
@@ -59,9 +59,10 @@
real*8, dimension(ex(1),ex(2),ex(3)),intent(out) :: Rxx,Rxy,Rxz,Ryy,Ryz,Rzz
real*8,intent(in) :: eps
real*8, dimension(ex(1),ex(2),ex(3)),intent(inout) :: ham_Res, movx_Res, movy_Res, movz_Res
real*8, dimension(ex(1),ex(2),ex(3)),intent(inout) :: Gmx_Res, Gmy_Res, Gmz_Res
! gont = 0: success; gont = 1: something wrong
integer::gont
real*8, dimension(ex(1),ex(2),ex(3)),intent(inout) :: Gmx_Res, Gmy_Res, Gmz_Res
! gont = 0: success; gont = 1: something wrong
integer::gont
integer :: i,j,k
!~~~~~~> Other variables:
@@ -83,11 +84,18 @@
real*8, dimension(ex(1),ex(2),ex(3)) :: gupxx,gupxy,gupxz
real*8, dimension(ex(1),ex(2),ex(3)) :: gupyy,gupyz,gupzz
real*8,dimension(3) ::SSS,AAS,ASA,SAA,ASS,SAS,SSA
real*8 :: dX, dY, dZ, PI
real*8, parameter :: ZEO = 0.d0,ONE = 1.D0, TWO = 2.D0, FOUR = 4.D0
real*8, parameter :: EIGHT = 8.D0, HALF = 0.5D0, THR = 3.d0
real*8, parameter :: SYM = 1.D0, ANTI= - 1.D0
real*8,dimension(3) ::SSS,AAS,ASA,SAA,ASS,SAS,SSA
real*8 :: dX, dY, dZ, PI
real*8 :: divb_loc,det_loc
real*8 :: gupxx_loc,gupxy_loc,gupxz_loc,gupyy_loc,gupyz_loc,gupzz_loc
real*8 :: Rxx_loc,Rxy_loc,Rxz_loc,Ryy_loc,Ryz_loc,Rzz_loc
real*8 :: fxx_loc,fxy_loc,fxz_loc
real*8 :: Gamxa_loc,Gamya_loc,Gamza_loc
real*8 :: f_loc,chin_loc
real*8 :: l_fxx,l_fxy,l_fxz,l_fyy,l_fyz,l_fzz,S_loc
real*8, parameter :: ZEO = 0.d0,ONE = 1.D0, TWO = 2.D0, FOUR = 4.D0
real*8, parameter :: EIGHT = 8.D0, HALF = 0.5D0, THR = 3.d0
real*8, parameter :: SYM = 1.D0, ANTI= - 1.D0
double precision,parameter::FF = 0.75d0,eta=2.d0
real*8, parameter :: F1o3 = 1.D0/3.D0, F2o3 = 2.D0/3.D0,F3o2=1.5d0, F1o6 = 1.D0/6.D0
real*8, parameter :: F16=1.6d1,F8=8.d0
@@ -96,11 +104,11 @@
real*8, dimension(ex(1),ex(2),ex(3)) :: reta
#endif
#if (GAUGE == 6 || GAUGE == 7)
integer :: BHN,i,j,k
real*8, dimension(9) :: Porg
real*8, dimension(3) :: Mass
real*8 :: r1,r2,M,A,w1,w2,C1,C2
#if (GAUGE == 6 || GAUGE == 7)
integer :: BHN
real*8, dimension(9) :: Porg
real*8, dimension(3) :: Mass
real*8 :: r1,r2,M,A,w1,w2,C1,C2
real*8, dimension(ex(1),ex(2),ex(3)) :: reta
call getpbh(BHN,Porg,Mass)
@@ -145,174 +153,204 @@
dY = Y(2) - Y(1)
dZ = Z(2) - Z(1)
alpn1 = Lap + ONE
chin1 = chi + ONE
gxx = dxx + ONE
gyy = dyy + ONE
gzz = dzz + ONE
do k=1,ex(3)
do j=1,ex(2)
do i=1,ex(1)
alpn1(i,j,k) = Lap(i,j,k) + ONE
chin1(i,j,k) = chi(i,j,k) + ONE
gxx(i,j,k) = dxx(i,j,k) + ONE
gyy(i,j,k) = dyy(i,j,k) + ONE
gzz(i,j,k) = dzz(i,j,k) + ONE
enddo
enddo
enddo
call fderivs(ex,betax,betaxx,betaxy,betaxz,X,Y,Z,ANTI, SYM, SYM,Symmetry,Lev)
call fderivs(ex,betay,betayx,betayy,betayz,X,Y,Z, SYM,ANTI, SYM,Symmetry,Lev)
call fderivs(ex,betaz,betazx,betazy,betazz,X,Y,Z, SYM, SYM,ANTI,Symmetry,Lev)
div_beta = betaxx + betayy + betazz
call fderivs(ex,chi,chix,chiy,chiz,X,Y,Z,SYM,SYM,SYM,symmetry,Lev)
call fderivs(ex,chi,chix,chiy,chiz,X,Y,Z,SYM,SYM,SYM,symmetry,Lev)
chi_rhs = F2o3 *chin1*( alpn1 * trK - div_beta ) !rhs for chi
call fderivs(ex,dxx,gxxx,gxxy,gxxz,X,Y,Z,SYM ,SYM ,SYM ,Symmetry,Lev)
call fderivs(ex,gxy,gxyx,gxyy,gxyz,X,Y,Z,ANTI,ANTI,SYM ,Symmetry,Lev)
call fderivs(ex,gxz,gxzx,gxzy,gxzz,X,Y,Z,ANTI,SYM ,ANTI,Symmetry,Lev)
call fderivs(ex,dyy,gyyx,gyyy,gyyz,X,Y,Z,SYM ,SYM ,SYM ,Symmetry,Lev)
call fderivs(ex,gyz,gyzx,gyzy,gyzz,X,Y,Z,SYM ,ANTI,ANTI,Symmetry,Lev)
call fderivs(ex,dzz,gzzx,gzzy,gzzz,X,Y,Z,SYM ,SYM ,SYM ,Symmetry,Lev)
gxx_rhs = - TWO * alpn1 * Axx - F2o3 * gxx * div_beta + &
TWO *( gxx * betaxx + gxy * betayx + gxz * betazx)
gyy_rhs = - TWO * alpn1 * Ayy - F2o3 * gyy * div_beta + &
TWO *( gxy * betaxy + gyy * betayy + gyz * betazy)
gzz_rhs = - TWO * alpn1 * Azz - F2o3 * gzz * div_beta + &
TWO *( gxz * betaxz + gyz * betayz + gzz * betazz)
gxy_rhs = - TWO * alpn1 * Axy + F1o3 * gxy * div_beta + &
gxx * betaxy + gxz * betazy + &
gyy * betayx + gyz * betazx &
- gxy * betazz
gyz_rhs = - TWO * alpn1 * Ayz + F1o3 * gyz * div_beta + &
gxy * betaxz + gyy * betayz + &
gxz * betaxy + gzz * betazy &
- gyz * betaxx
gxz_rhs = - TWO * alpn1 * Axz + F1o3 * gxz * div_beta + &
gxx * betaxz + gxy * betayz + &
gyz * betayx + gzz * betazx &
- gxz * betayy !rhs for gij
! invert tilted metric
gupzz = gxx * gyy * gzz + gxy * gyz * gxz + gxz * gxy * gyz - &
gxz * gyy * gxz - gxy * gxy * gzz - gxx * gyz * gyz
gupxx = ( gyy * gzz - gyz * gyz ) / gupzz
gupxy = - ( gxy * gzz - gyz * gxz ) / gupzz
gupxz = ( gxy * gyz - gyy * gxz ) / gupzz
gupyy = ( gxx * gzz - gxz * gxz ) / gupzz
gupyz = - ( gxx * gyz - gxy * gxz ) / gupzz
gupzz = ( gxx * gyy - gxy * gxy ) / gupzz
if(co == 0)then
! Gam^i_Res = Gam^i + gup^ij_,j
Gmx_Res = Gamx - (gupxx*(gupxx*gxxx+gupxy*gxyx+gupxz*gxzx)&
+gupxy*(gupxx*gxyx+gupxy*gyyx+gupxz*gyzx)&
+gupxz*(gupxx*gxzx+gupxy*gyzx+gupxz*gzzx)&
+gupxx*(gupxy*gxxy+gupyy*gxyy+gupyz*gxzy)&
+gupxy*(gupxy*gxyy+gupyy*gyyy+gupyz*gyzy)&
+gupxz*(gupxy*gxzy+gupyy*gyzy+gupyz*gzzy)&
+gupxx*(gupxz*gxxz+gupyz*gxyz+gupzz*gxzz)&
+gupxy*(gupxz*gxyz+gupyz*gyyz+gupzz*gyzz)&
+gupxz*(gupxz*gxzz+gupyz*gyzz+gupzz*gzzz))
Gmy_Res = Gamy - (gupxx*(gupxy*gxxx+gupyy*gxyx+gupyz*gxzx)&
+gupxy*(gupxy*gxyx+gupyy*gyyx+gupyz*gyzx)&
+gupxz*(gupxy*gxzx+gupyy*gyzx+gupyz*gzzx)&
+gupxy*(gupxy*gxxy+gupyy*gxyy+gupyz*gxzy)&
+gupyy*(gupxy*gxyy+gupyy*gyyy+gupyz*gyzy)&
+gupyz*(gupxy*gxzy+gupyy*gyzy+gupyz*gzzy)&
+gupxy*(gupxz*gxxz+gupyz*gxyz+gupzz*gxzz)&
+gupyy*(gupxz*gxyz+gupyz*gyyz+gupzz*gyzz)&
+gupyz*(gupxz*gxzz+gupyz*gyzz+gupzz*gzzz))
Gmz_Res = Gamz - (gupxx*(gupxz*gxxx+gupyz*gxyx+gupzz*gxzx)&
+gupxy*(gupxz*gxyx+gupyz*gyyx+gupzz*gyzx)&
+gupxz*(gupxz*gxzx+gupyz*gyzx+gupzz*gzzx)&
+gupxy*(gupxz*gxxy+gupyz*gxyy+gupzz*gxzy)&
+gupyy*(gupxz*gxyy+gupyz*gyyy+gupzz*gyzy)&
+gupyz*(gupxz*gxzy+gupyz*gyzy+gupzz*gzzy)&
+gupxz*(gupxz*gxxz+gupyz*gxyz+gupzz*gxzz)&
+gupyz*(gupxz*gxyz+gupyz*gyyz+gupzz*gyzz)&
+gupzz*(gupxz*gxzz+gupyz*gyzz+gupzz*gzzz))
endif
! second kind of connection
Gamxxx =HALF*( gupxx*gxxx + gupxy*(TWO*gxyx - gxxy ) + gupxz*(TWO*gxzx - gxxz ))
Gamyxx =HALF*( gupxy*gxxx + gupyy*(TWO*gxyx - gxxy ) + gupyz*(TWO*gxzx - gxxz ))
Gamzxx =HALF*( gupxz*gxxx + gupyz*(TWO*gxyx - gxxy ) + gupzz*(TWO*gxzx - gxxz ))
Gamxyy =HALF*( gupxx*(TWO*gxyy - gyyx ) + gupxy*gyyy + gupxz*(TWO*gyzy - gyyz ))
Gamyyy =HALF*( gupxy*(TWO*gxyy - gyyx ) + gupyy*gyyy + gupyz*(TWO*gyzy - gyyz ))
Gamzyy =HALF*( gupxz*(TWO*gxyy - gyyx ) + gupyz*gyyy + gupzz*(TWO*gyzy - gyyz ))
Gamxzz =HALF*( gupxx*(TWO*gxzz - gzzx ) + gupxy*(TWO*gyzz - gzzy ) + gupxz*gzzz)
Gamyzz =HALF*( gupxy*(TWO*gxzz - gzzx ) + gupyy*(TWO*gyzz - gzzy ) + gupyz*gzzz)
Gamzzz =HALF*( gupxz*(TWO*gxzz - gzzx ) + gupyz*(TWO*gyzz - gzzy ) + gupzz*gzzz)
Gamxxy =HALF*( gupxx*gxxy + gupxy*gyyx + gupxz*( gxzy + gyzx - gxyz ) )
Gamyxy =HALF*( gupxy*gxxy + gupyy*gyyx + gupyz*( gxzy + gyzx - gxyz ) )
Gamzxy =HALF*( gupxz*gxxy + gupyz*gyyx + gupzz*( gxzy + gyzx - gxyz ) )
Gamxxz =HALF*( gupxx*gxxz + gupxy*( gxyz + gyzx - gxzy ) + gupxz*gzzx )
Gamyxz =HALF*( gupxy*gxxz + gupyy*( gxyz + gyzx - gxzy ) + gupyz*gzzx )
Gamzxz =HALF*( gupxz*gxxz + gupyz*( gxyz + gyzx - gxzy ) + gupzz*gzzx )
Gamxyz =HALF*( gupxx*( gxyz + gxzy - gyzx ) + gupxy*gyyz + gupxz*gzzy )
Gamyyz =HALF*( gupxy*( gxyz + gxzy - gyzx ) + gupyy*gyyz + gupyz*gzzy )
Gamzyz =HALF*( gupxz*( gxyz + gxzy - gyzx ) + gupyz*gyyz + gupzz*gzzy )
! Raise indices of \tilde A_{ij} and store in R_ij
Rxx = gupxx * gupxx * Axx + gupxy * gupxy * Ayy + gupxz * gupxz * Azz + &
TWO*(gupxx * gupxy * Axy + gupxx * gupxz * Axz + gupxy * gupxz * Ayz)
Ryy = gupxy * gupxy * Axx + gupyy * gupyy * Ayy + gupyz * gupyz * Azz + &
TWO*(gupxy * gupyy * Axy + gupxy * gupyz * Axz + gupyy * gupyz * Ayz)
Rzz = gupxz * gupxz * Axx + gupyz * gupyz * Ayy + gupzz * gupzz * Azz + &
TWO*(gupxz * gupyz * Axy + gupxz * gupzz * Axz + gupyz * gupzz * Ayz)
Rxy = gupxx * gupxy * Axx + gupxy * gupyy * Ayy + gupxz * gupyz * Azz + &
(gupxx * gupyy + gupxy * gupxy)* Axy + &
(gupxx * gupyz + gupxz * gupxy)* Axz + &
(gupxy * gupyz + gupxz * gupyy)* Ayz
Rxz = gupxx * gupxz * Axx + gupxy * gupyz * Ayy + gupxz * gupzz * Azz + &
(gupxx * gupyz + gupxy * gupxz)* Axy + &
(gupxx * gupzz + gupxz * gupxz)* Axz + &
(gupxy * gupzz + gupxz * gupyz)* Ayz
Ryz = gupxy * gupxz * Axx + gupyy * gupyz * Ayy + gupyz * gupzz * Azz + &
(gupxy * gupyz + gupyy * gupxz)* Axy + &
(gupxy * gupzz + gupyz * gupxz)* Axz + &
(gupyy * gupzz + gupyz * gupyz)* Ayz
! Right hand side for Gam^i without shift terms...
call fderivs(ex,Lap,Lapx,Lapy,Lapz,X,Y,Z,SYM,SYM,SYM,Symmetry,Lev)
call fderivs(ex,trK,Kx,Ky,Kz,X,Y,Z,SYM,SYM,SYM,symmetry,Lev)
Gamx_rhs = - TWO * ( Lapx * Rxx + Lapy * Rxy + Lapz * Rxz ) + &
TWO * alpn1 * ( &
-F3o2/chin1 * ( chix * Rxx + chiy * Rxy + chiz * Rxz ) - &
gupxx * ( F2o3 * Kx + EIGHT * PI * Sx ) - &
gupxy * ( F2o3 * Ky + EIGHT * PI * Sy ) - &
gupxz * ( F2o3 * Kz + EIGHT * PI * Sz ) + &
Gamxxx * Rxx + Gamxyy * Ryy + Gamxzz * Rzz + &
TWO * ( Gamxxy * Rxy + Gamxxz * Rxz + Gamxyz * Ryz ) )
Gamy_rhs = - TWO * ( Lapx * Rxy + Lapy * Ryy + Lapz * Ryz ) + &
TWO * alpn1 * ( &
-F3o2/chin1 * ( chix * Rxy + chiy * Ryy + chiz * Ryz ) - &
gupxy * ( F2o3 * Kx + EIGHT * PI * Sx ) - &
gupyy * ( F2o3 * Ky + EIGHT * PI * Sy ) - &
gupyz * ( F2o3 * Kz + EIGHT * PI * Sz ) + &
Gamyxx * Rxx + Gamyyy * Ryy + Gamyzz * Rzz + &
TWO * ( Gamyxy * Rxy + Gamyxz * Rxz + Gamyyz * Ryz ) )
Gamz_rhs = - TWO * ( Lapx * Rxz + Lapy * Ryz + Lapz * Rzz ) + &
TWO * alpn1 * ( &
-F3o2/chin1 * ( chix * Rxz + chiy * Ryz + chiz * Rzz ) - &
gupxz * ( F2o3 * Kx + EIGHT * PI * Sx ) - &
gupyz * ( F2o3 * Ky + EIGHT * PI * Sy ) - &
gupzz * ( F2o3 * Kz + EIGHT * PI * Sz ) + &
Gamzxx * Rxx + Gamzyy * Ryy + Gamzzz * Rzz + &
TWO * ( Gamzxy * Rxy + Gamzxz * Rxz + Gamzyz * Ryz ) )
call fderivs(ex,dxx,gxxx,gxxy,gxxz,X,Y,Z,SYM ,SYM ,SYM ,Symmetry,Lev)
call fderivs(ex,gxy,gxyx,gxyy,gxyz,X,Y,Z,ANTI,ANTI,SYM ,Symmetry,Lev)
call fderivs(ex,gxz,gxzx,gxzy,gxzz,X,Y,Z,ANTI,SYM ,ANTI,Symmetry,Lev)
call fderivs(ex,dyy,gyyx,gyyy,gyyz,X,Y,Z,SYM ,SYM ,SYM ,Symmetry,Lev)
call fderivs(ex,gyz,gyzx,gyzy,gyzz,X,Y,Z,SYM ,ANTI,ANTI,Symmetry,Lev)
call fderivs(ex,dzz,gzzx,gzzy,gzzz,X,Y,Z,SYM ,SYM ,SYM ,Symmetry,Lev)
do k=1,ex(3)
do j=1,ex(2)
do i=1,ex(1)
divb_loc = betaxx(i,j,k) + betayy(i,j,k) + betazz(i,j,k)
div_beta(i,j,k) = divb_loc
chi_rhs(i,j,k) = F2o3 * chin1(i,j,k) * (alpn1(i,j,k) * trK(i,j,k) - divb_loc)
gxx_rhs(i,j,k) = - TWO * alpn1(i,j,k) * Axx(i,j,k) - F2o3 * gxx(i,j,k) * divb_loc + &
TWO * ( gxx(i,j,k) * betaxx(i,j,k) + gxy(i,j,k) * betayx(i,j,k) + gxz(i,j,k) * betazx(i,j,k) )
gyy_rhs(i,j,k) = - TWO * alpn1(i,j,k) * Ayy(i,j,k) - F2o3 * gyy(i,j,k) * divb_loc + &
TWO * ( gxy(i,j,k) * betaxy(i,j,k) + gyy(i,j,k) * betayy(i,j,k) + gyz(i,j,k) * betazy(i,j,k) )
gzz_rhs(i,j,k) = - TWO * alpn1(i,j,k) * Azz(i,j,k) - F2o3 * gzz(i,j,k) * divb_loc + &
TWO * ( gxz(i,j,k) * betaxz(i,j,k) + gyz(i,j,k) * betayz(i,j,k) + gzz(i,j,k) * betazz(i,j,k) )
gxy_rhs(i,j,k) = - TWO * alpn1(i,j,k) * Axy(i,j,k) + F1o3 * gxy(i,j,k) * divb_loc + &
gxx(i,j,k) * betaxy(i,j,k) + gxz(i,j,k) * betazy(i,j,k) + gyy(i,j,k) * betayx(i,j,k) + &
gyz(i,j,k) * betazx(i,j,k) - gxy(i,j,k) * betazz(i,j,k)
gyz_rhs(i,j,k) = - TWO * alpn1(i,j,k) * Ayz(i,j,k) + F1o3 * gyz(i,j,k) * divb_loc + &
gxy(i,j,k) * betaxz(i,j,k) + gyy(i,j,k) * betayz(i,j,k) + gxz(i,j,k) * betaxy(i,j,k) + &
gzz(i,j,k) * betazy(i,j,k) - gyz(i,j,k) * betaxx(i,j,k)
gxz_rhs(i,j,k) = - TWO * alpn1(i,j,k) * Axz(i,j,k) + F1o3 * gxz(i,j,k) * divb_loc + &
gxx(i,j,k) * betaxz(i,j,k) + gxy(i,j,k) * betayz(i,j,k) + gyz(i,j,k) * betayx(i,j,k) + &
gzz(i,j,k) * betazx(i,j,k) - gxz(i,j,k) * betayy(i,j,k)
det_loc = gxx(i,j,k) * gyy(i,j,k) * gzz(i,j,k) + gxy(i,j,k) * gyz(i,j,k) * gxz(i,j,k) + &
gxz(i,j,k) * gxy(i,j,k) * gyz(i,j,k) - gxz(i,j,k) * gyy(i,j,k) * gxz(i,j,k) - &
gxy(i,j,k) * gxy(i,j,k) * gzz(i,j,k) - gxx(i,j,k) * gyz(i,j,k) * gyz(i,j,k)
gupxx_loc = ( gyy(i,j,k) * gzz(i,j,k) - gyz(i,j,k) * gyz(i,j,k) ) / det_loc
gupxy_loc = - ( gxy(i,j,k) * gzz(i,j,k) - gyz(i,j,k) * gxz(i,j,k) ) / det_loc
gupxz_loc = ( gxy(i,j,k) * gyz(i,j,k) - gyy(i,j,k) * gxz(i,j,k) ) / det_loc
gupyy_loc = ( gxx(i,j,k) * gzz(i,j,k) - gxz(i,j,k) * gxz(i,j,k) ) / det_loc
gupyz_loc = - ( gxx(i,j,k) * gyz(i,j,k) - gxy(i,j,k) * gxz(i,j,k) ) / det_loc
gupzz_loc = ( gxx(i,j,k) * gyy(i,j,k) - gxy(i,j,k) * gxy(i,j,k) ) / det_loc
gupxx(i,j,k) = gupxx_loc
gupxy(i,j,k) = gupxy_loc
gupxz(i,j,k) = gupxz_loc
gupyy(i,j,k) = gupyy_loc
gupyz(i,j,k) = gupyz_loc
gupzz(i,j,k) = gupzz_loc
if(co == 0)then
Gmx_Res(i,j,k) = Gamx(i,j,k) - ( &
gupxx_loc*(gupxx_loc*gxxx(i,j,k)+gupxy_loc*gxyx(i,j,k)+gupxz_loc*gxzx(i,j,k)) + &
gupxy_loc*(gupxx_loc*gxyx(i,j,k)+gupxy_loc*gyyx(i,j,k)+gupxz_loc*gyzx(i,j,k)) + &
gupxz_loc*(gupxx_loc*gxzx(i,j,k)+gupxy_loc*gyzx(i,j,k)+gupxz_loc*gzzx(i,j,k)) + &
gupxx_loc*(gupxy_loc*gxxy(i,j,k)+gupyy_loc*gxyy(i,j,k)+gupyz_loc*gxzy(i,j,k)) + &
gupxy_loc*(gupxy_loc*gxyy(i,j,k)+gupyy_loc*gyyy(i,j,k)+gupyz_loc*gyzy(i,j,k)) + &
gupxz_loc*(gupxy_loc*gxzy(i,j,k)+gupyy_loc*gyzy(i,j,k)+gupyz_loc*gzzy(i,j,k)) + &
gupxx_loc*(gupxz_loc*gxxz(i,j,k)+gupyz_loc*gxyz(i,j,k)+gupzz_loc*gxzz(i,j,k)) + &
gupxy_loc*(gupxz_loc*gxyz(i,j,k)+gupyz_loc*gyyz(i,j,k)+gupzz_loc*gyzz(i,j,k)) + &
gupxz_loc*(gupxz_loc*gxzz(i,j,k)+gupyz_loc*gyzz(i,j,k)+gupzz_loc*gzzz(i,j,k)))
Gmy_Res(i,j,k) = Gamy(i,j,k) - ( &
gupxx_loc*(gupxy_loc*gxxx(i,j,k)+gupyy_loc*gxyx(i,j,k)+gupyz_loc*gxzx(i,j,k)) + &
gupxy_loc*(gupxy_loc*gxyx(i,j,k)+gupyy_loc*gyyx(i,j,k)+gupyz_loc*gyzx(i,j,k)) + &
gupxz_loc*(gupxy_loc*gxzx(i,j,k)+gupyy_loc*gyzx(i,j,k)+gupyz_loc*gzzx(i,j,k)) + &
gupxy_loc*(gupxy_loc*gxxy(i,j,k)+gupyy_loc*gxyy(i,j,k)+gupyz_loc*gxzy(i,j,k)) + &
gupyy_loc*(gupxy_loc*gxyy(i,j,k)+gupyy_loc*gyyy(i,j,k)+gupyz_loc*gyzy(i,j,k)) + &
gupyz_loc*(gupxy_loc*gxzy(i,j,k)+gupyy_loc*gyzy(i,j,k)+gupyz_loc*gzzy(i,j,k)) + &
gupxy_loc*(gupxz_loc*gxxz(i,j,k)+gupyz_loc*gxyz(i,j,k)+gupzz_loc*gxzz(i,j,k)) + &
gupyy_loc*(gupxz_loc*gxyz(i,j,k)+gupyz_loc*gyyz(i,j,k)+gupzz_loc*gyzz(i,j,k)) + &
gupyz_loc*(gupxz_loc*gxzz(i,j,k)+gupyz_loc*gyzz(i,j,k)+gupzz_loc*gzzz(i,j,k)))
Gmz_Res(i,j,k) = Gamz(i,j,k) - ( &
gupxx_loc*(gupxz_loc*gxxx(i,j,k)+gupyz_loc*gxyx(i,j,k)+gupzz_loc*gxzx(i,j,k)) + &
gupxy_loc*(gupxz_loc*gxyx(i,j,k)+gupyz_loc*gyyx(i,j,k)+gupzz_loc*gyzx(i,j,k)) + &
gupxz_loc*(gupxz_loc*gxzx(i,j,k)+gupyz_loc*gyzx(i,j,k)+gupzz_loc*gzzx(i,j,k)) + &
gupxy_loc*(gupxz_loc*gxxy(i,j,k)+gupyz_loc*gxyy(i,j,k)+gupzz_loc*gxzy(i,j,k)) + &
gupyy_loc*(gupxz_loc*gxyy(i,j,k)+gupyz_loc*gyyy(i,j,k)+gupzz_loc*gyzy(i,j,k)) + &
gupyz_loc*(gupxz_loc*gxzy(i,j,k)+gupyz_loc*gyzy(i,j,k)+gupzz_loc*gzzy(i,j,k)) + &
gupxz_loc*(gupxz_loc*gxxz(i,j,k)+gupyz_loc*gxyz(i,j,k)+gupzz_loc*gxzz(i,j,k)) + &
gupyz_loc*(gupxz_loc*gxyz(i,j,k)+gupyz_loc*gyyz(i,j,k)+gupzz_loc*gyzz(i,j,k)) + &
gupzz_loc*(gupxz_loc*gxzz(i,j,k)+gupyz_loc*gyzz(i,j,k)+gupzz_loc*gzzz(i,j,k)))
endif
Gamxxx(i,j,k)=HALF*( gupxx_loc*gxxx(i,j,k) + gupxy_loc*(TWO*gxyx(i,j,k) - gxxy(i,j,k)) + gupxz_loc*(TWO*gxzx(i,j,k) - gxxz(i,j,k)))
Gamyxx(i,j,k)=HALF*( gupxy_loc*gxxx(i,j,k) + gupyy_loc*(TWO*gxyx(i,j,k) - gxxy(i,j,k)) + gupyz_loc*(TWO*gxzx(i,j,k) - gxxz(i,j,k)))
Gamzxx(i,j,k)=HALF*( gupxz_loc*gxxx(i,j,k) + gupyz_loc*(TWO*gxyx(i,j,k) - gxxy(i,j,k)) + gupzz_loc*(TWO*gxzx(i,j,k) - gxxz(i,j,k)))
Gamxyy(i,j,k)=HALF*( gupxx_loc*(TWO*gxyy(i,j,k) - gyyx(i,j,k)) + gupxy_loc*gyyy(i,j,k) + gupxz_loc*(TWO*gyzy(i,j,k) - gyyz(i,j,k)))
Gamyyy(i,j,k)=HALF*( gupxy_loc*(TWO*gxyy(i,j,k) - gyyx(i,j,k)) + gupyy_loc*gyyy(i,j,k) + gupyz_loc*(TWO*gyzy(i,j,k) - gyyz(i,j,k)))
Gamzyy(i,j,k)=HALF*( gupxz_loc*(TWO*gxyy(i,j,k) - gyyx(i,j,k)) + gupyz_loc*gyyy(i,j,k) + gupzz_loc*(TWO*gyzy(i,j,k) - gyyz(i,j,k)))
Gamxzz(i,j,k)=HALF*( gupxx_loc*(TWO*gxzz(i,j,k) - gzzx(i,j,k)) + gupxy_loc*(TWO*gyzz(i,j,k) - gzzy(i,j,k)) + gupxz_loc*gzzz(i,j,k))
Gamyzz(i,j,k)=HALF*( gupxy_loc*(TWO*gxzz(i,j,k) - gzzx(i,j,k)) + gupyy_loc*(TWO*gyzz(i,j,k) - gzzy(i,j,k)) + gupyz_loc*gzzz(i,j,k))
Gamzzz(i,j,k)=HALF*( gupxz_loc*(TWO*gxzz(i,j,k) - gzzx(i,j,k)) + gupyz_loc*(TWO*gyzz(i,j,k) - gzzy(i,j,k)) + gupzz_loc*gzzz(i,j,k))
Gamxxy(i,j,k)=HALF*( gupxx_loc*gxxy(i,j,k) + gupxy_loc*gyyx(i,j,k) + gupxz_loc*(gxzy(i,j,k) + gyzx(i,j,k) - gxyz(i,j,k)) )
Gamyxy(i,j,k)=HALF*( gupxy_loc*gxxy(i,j,k) + gupyy_loc*gyyx(i,j,k) + gupyz_loc*(gxzy(i,j,k) + gyzx(i,j,k) - gxyz(i,j,k)) )
Gamzxy(i,j,k)=HALF*( gupxz_loc*gxxy(i,j,k) + gupyz_loc*gyyx(i,j,k) + gupzz_loc*(gxzy(i,j,k) + gyzx(i,j,k) - gxyz(i,j,k)) )
Gamxxz(i,j,k)=HALF*( gupxx_loc*gxxz(i,j,k) + gupxy_loc*(gxyz(i,j,k) + gyzx(i,j,k) - gxzy(i,j,k)) + gupxz_loc*gzzx(i,j,k) )
Gamyxz(i,j,k)=HALF*( gupxy_loc*gxxz(i,j,k) + gupyy_loc*(gxyz(i,j,k) + gyzx(i,j,k) - gxzy(i,j,k)) + gupyz_loc*gzzx(i,j,k) )
Gamzxz(i,j,k)=HALF*( gupxz_loc*gxxz(i,j,k) + gupyz_loc*(gxyz(i,j,k) + gyzx(i,j,k) - gxzy(i,j,k)) + gupzz_loc*gzzx(i,j,k) )
Gamxyz(i,j,k)=HALF*( gupxx_loc*(gxyz(i,j,k) + gxzy(i,j,k) - gyzx(i,j,k)) + gupxy_loc*gyyz(i,j,k) + gupxz_loc*gzzy(i,j,k) )
Gamyyz(i,j,k)=HALF*( gupxy_loc*(gxyz(i,j,k) + gxzy(i,j,k) - gyzx(i,j,k)) + gupyy_loc*gyyz(i,j,k) + gupyz_loc*gzzy(i,j,k) )
Gamzyz(i,j,k)=HALF*( gupxz_loc*(gxyz(i,j,k) + gxzy(i,j,k) - gyzx(i,j,k)) + gupyz_loc*gyyz(i,j,k) + gupzz_loc*gzzy(i,j,k) )
enddo
enddo
enddo
! Raise indices of \tilde A_{ij} and store in R_ij
! Right hand side for Gam^i without shift terms...
call fderivs(ex,Lap,Lapx,Lapy,Lapz,X,Y,Z,SYM,SYM,SYM,Symmetry,Lev)
call fderivs(ex,trK,Kx,Ky,Kz,X,Y,Z,SYM,SYM,SYM,symmetry,Lev)
do k=1,ex(3)
do j=1,ex(2)
do i=1,ex(1)
gupxx_loc = gupxx(i,j,k)
gupxy_loc = gupxy(i,j,k)
gupxz_loc = gupxz(i,j,k)
gupyy_loc = gupyy(i,j,k)
gupyz_loc = gupyz(i,j,k)
gupzz_loc = gupzz(i,j,k)
Rxx_loc = gupxx_loc * gupxx_loc * Axx(i,j,k) + gupxy_loc * gupxy_loc * Ayy(i,j,k) + gupxz_loc * gupxz_loc * Azz(i,j,k) + &
TWO * (gupxx_loc * gupxy_loc * Axy(i,j,k) + gupxx_loc * gupxz_loc * Axz(i,j,k) + gupxy_loc * gupxz_loc * Ayz(i,j,k))
Ryy_loc = gupxy_loc * gupxy_loc * Axx(i,j,k) + gupyy_loc * gupyy_loc * Ayy(i,j,k) + gupyz_loc * gupyz_loc * Azz(i,j,k) + &
TWO * (gupxy_loc * gupyy_loc * Axy(i,j,k) + gupxy_loc * gupyz_loc * Axz(i,j,k) + gupyy_loc * gupyz_loc * Ayz(i,j,k))
Rzz_loc = gupxz_loc * gupxz_loc * Axx(i,j,k) + gupyz_loc * gupyz_loc * Ayy(i,j,k) + gupzz_loc * gupzz_loc * Azz(i,j,k) + &
TWO * (gupxz_loc * gupyz_loc * Axy(i,j,k) + gupxz_loc * gupzz_loc * Axz(i,j,k) + gupyz_loc * gupzz_loc * Ayz(i,j,k))
Rxy_loc = gupxx_loc * gupxy_loc * Axx(i,j,k) + gupxy_loc * gupyy_loc * Ayy(i,j,k) + gupxz_loc * gupyz_loc * Azz(i,j,k) + &
(gupxx_loc * gupyy_loc + gupxy_loc * gupxy_loc) * Axy(i,j,k) + &
(gupxx_loc * gupyz_loc + gupxz_loc * gupxy_loc) * Axz(i,j,k) + &
(gupxy_loc * gupyz_loc + gupxz_loc * gupyy_loc) * Ayz(i,j,k)
Rxz_loc = gupxx_loc * gupxz_loc * Axx(i,j,k) + gupxy_loc * gupyz_loc * Ayy(i,j,k) + gupxz_loc * gupzz_loc * Azz(i,j,k) + &
(gupxx_loc * gupyz_loc + gupxy_loc * gupxz_loc) * Axy(i,j,k) + &
(gupxx_loc * gupzz_loc + gupxz_loc * gupxz_loc) * Axz(i,j,k) + &
(gupxy_loc * gupzz_loc + gupxz_loc * gupyz_loc) * Ayz(i,j,k)
Ryz_loc = gupxy_loc * gupxz_loc * Axx(i,j,k) + gupyy_loc * gupyz_loc * Ayy(i,j,k) + gupyz_loc * gupzz_loc * Azz(i,j,k) + &
(gupxy_loc * gupyz_loc + gupyy_loc * gupxz_loc) * Axy(i,j,k) + &
(gupxy_loc * gupzz_loc + gupyz_loc * gupxz_loc) * Axz(i,j,k) + &
(gupyy_loc * gupzz_loc + gupyz_loc * gupyz_loc) * Ayz(i,j,k)
Rxx(i,j,k) = Rxx_loc
Ryy(i,j,k) = Ryy_loc
Rzz(i,j,k) = Rzz_loc
Rxy(i,j,k) = Rxy_loc
Rxz(i,j,k) = Rxz_loc
Ryz(i,j,k) = Ryz_loc
Gamx_rhs(i,j,k) = - TWO * (Lapx(i,j,k) * Rxx_loc + Lapy(i,j,k) * Rxy_loc + Lapz(i,j,k) * Rxz_loc) + &
TWO * alpn1(i,j,k) * ( &
-F3o2/chin1(i,j,k) * (chix(i,j,k) * Rxx_loc + chiy(i,j,k) * Rxy_loc + chiz(i,j,k) * Rxz_loc) - &
gupxx_loc * (F2o3 * Kx(i,j,k) + EIGHT * PI * Sx(i,j,k)) - &
gupxy_loc * (F2o3 * Ky(i,j,k) + EIGHT * PI * Sy(i,j,k)) - &
gupxz_loc * (F2o3 * Kz(i,j,k) + EIGHT * PI * Sz(i,j,k)) + &
Gamxxx(i,j,k) * Rxx_loc + Gamxyy(i,j,k) * Ryy_loc + Gamxzz(i,j,k) * Rzz_loc + &
TWO * (Gamxxy(i,j,k) * Rxy_loc + Gamxxz(i,j,k) * Rxz_loc + Gamxyz(i,j,k) * Ryz_loc))
Gamy_rhs(i,j,k) = - TWO * (Lapx(i,j,k) * Rxy_loc + Lapy(i,j,k) * Ryy_loc + Lapz(i,j,k) * Ryz_loc) + &
TWO * alpn1(i,j,k) * ( &
-F3o2/chin1(i,j,k) * (chix(i,j,k) * Rxy_loc + chiy(i,j,k) * Ryy_loc + chiz(i,j,k) * Ryz_loc) - &
gupxy_loc * (F2o3 * Kx(i,j,k) + EIGHT * PI * Sx(i,j,k)) - &
gupyy_loc * (F2o3 * Ky(i,j,k) + EIGHT * PI * Sy(i,j,k)) - &
gupyz_loc * (F2o3 * Kz(i,j,k) + EIGHT * PI * Sz(i,j,k)) + &
Gamyxx(i,j,k) * Rxx_loc + Gamyyy(i,j,k) * Ryy_loc + Gamyzz(i,j,k) * Rzz_loc + &
TWO * (Gamyxy(i,j,k) * Rxy_loc + Gamyxz(i,j,k) * Rxz_loc + Gamyyz(i,j,k) * Ryz_loc))
Gamz_rhs(i,j,k) = - TWO * (Lapx(i,j,k) * Rxz_loc + Lapy(i,j,k) * Ryz_loc + Lapz(i,j,k) * Rzz_loc) + &
TWO * alpn1(i,j,k) * ( &
-F3o2/chin1(i,j,k) * (chix(i,j,k) * Rxz_loc + chiy(i,j,k) * Ryz_loc + chiz(i,j,k) * Rzz_loc) - &
gupxz_loc * (F2o3 * Kx(i,j,k) + EIGHT * PI * Sx(i,j,k)) - &
gupyz_loc * (F2o3 * Ky(i,j,k) + EIGHT * PI * Sy(i,j,k)) - &
gupzz_loc * (F2o3 * Kz(i,j,k) + EIGHT * PI * Sz(i,j,k)) + &
Gamzxx(i,j,k) * Rxx_loc + Gamzyy(i,j,k) * Ryy_loc + Gamzzz(i,j,k) * Rzz_loc + &
TWO * (Gamzxy(i,j,k) * Rxy_loc + Gamzxz(i,j,k) * Rxz_loc + Gamzyz(i,j,k) * Ryz_loc))
enddo
enddo
enddo
call fdderivs(ex,betax,gxxx,gxyx,gxzx,gyyx,gyzx,gzzx,&
X,Y,Z,ANTI,SYM, SYM ,Symmetry,Lev)
@@ -321,38 +359,54 @@
call fdderivs(ex,betaz,gxxz,gxyz,gxzz,gyyz,gyzz,gzzz,&
X,Y,Z,SYM ,SYM, ANTI,Symmetry,Lev)
fxx = gxxx + gxyy + gxzz
fxy = gxyx + gyyy + gyzz
fxz = gxzx + gyzy + gzzz
Gamxa = gupxx * Gamxxx + gupyy * Gamxyy + gupzz * Gamxzz + &
TWO*( gupxy * Gamxxy + gupxz * Gamxxz + gupyz * Gamxyz )
Gamya = gupxx * Gamyxx + gupyy * Gamyyy + gupzz * Gamyzz + &
TWO*( gupxy * Gamyxy + gupxz * Gamyxz + gupyz * Gamyyz )
Gamza = gupxx * Gamzxx + gupyy * Gamzyy + gupzz * Gamzzz + &
TWO*( gupxy * Gamzxy + gupxz * Gamzxz + gupyz * Gamzyz )
call fderivs(ex,Gamx,Gamxx,Gamxy,Gamxz,X,Y,Z,ANTI,SYM ,SYM ,Symmetry,Lev)
call fderivs(ex,Gamy,Gamyx,Gamyy,Gamyz,X,Y,Z,SYM ,ANTI,SYM ,Symmetry,Lev)
call fderivs(ex,Gamz,Gamzx,Gamzy,Gamzz,X,Y,Z,SYM ,SYM ,ANTI,Symmetry,Lev)
Gamx_rhs = Gamx_rhs + F2o3 * Gamxa * div_beta - &
Gamxa * betaxx - Gamya * betaxy - Gamza * betaxz + &
F1o3 * (gupxx * fxx + gupxy * fxy + gupxz * fxz ) + &
gupxx * gxxx + gupyy * gyyx + gupzz * gzzx + &
TWO * (gupxy * gxyx + gupxz * gxzx + gupyz * gyzx )
Gamy_rhs = Gamy_rhs + F2o3 * Gamya * div_beta - &
Gamxa * betayx - Gamya * betayy - Gamza * betayz + &
F1o3 * (gupxy * fxx + gupyy * fxy + gupyz * fxz ) + &
gupxx * gxxy + gupyy * gyyy + gupzz * gzzy + &
TWO * (gupxy * gxyy + gupxz * gxzy + gupyz * gyzy )
Gamz_rhs = Gamz_rhs + F2o3 * Gamza * div_beta - &
Gamxa * betazx - Gamya * betazy - Gamza * betazz + &
F1o3 * (gupxz * fxx + gupyz * fxy + gupzz * fxz ) + &
gupxx * gxxz + gupyy * gyyz + gupzz * gzzz + &
TWO * (gupxy * gxyz + gupxz * gxzz + gupyz * gyzz ) !rhs for Gam^i
call fderivs(ex,Gamx,Gamxx,Gamxy,Gamxz,X,Y,Z,ANTI,SYM ,SYM ,Symmetry,Lev)
call fderivs(ex,Gamy,Gamyx,Gamyy,Gamyz,X,Y,Z,SYM ,ANTI,SYM ,Symmetry,Lev)
call fderivs(ex,Gamz,Gamzx,Gamzy,Gamzz,X,Y,Z,SYM ,SYM ,ANTI,Symmetry,Lev)
do k=1,ex(3)
do j=1,ex(2)
do i=1,ex(1)
divb_loc = div_beta(i,j,k)
fxx_loc = gxxx(i,j,k) + gxyy(i,j,k) + gxzz(i,j,k)
fxy_loc = gxyx(i,j,k) + gyyy(i,j,k) + gyzz(i,j,k)
fxz_loc = gxzx(i,j,k) + gyzy(i,j,k) + gzzz(i,j,k)
gupxx_loc = gupxx(i,j,k)
gupxy_loc = gupxy(i,j,k)
gupxz_loc = gupxz(i,j,k)
gupyy_loc = gupyy(i,j,k)
gupyz_loc = gupyz(i,j,k)
gupzz_loc = gupzz(i,j,k)
Gamxa_loc = gupxx_loc * Gamxxx(i,j,k) + gupyy_loc * Gamxyy(i,j,k) + gupzz_loc * Gamxzz(i,j,k) + &
TWO * (gupxy_loc * Gamxxy(i,j,k) + gupxz_loc * Gamxxz(i,j,k) + gupyz_loc * Gamxyz(i,j,k))
Gamya_loc = gupxx_loc * Gamyxx(i,j,k) + gupyy_loc * Gamyyy(i,j,k) + gupzz_loc * Gamyzz(i,j,k) + &
TWO * (gupxy_loc * Gamyxy(i,j,k) + gupxz_loc * Gamyxz(i,j,k) + gupyz_loc * Gamyyz(i,j,k))
Gamza_loc = gupxx_loc * Gamzxx(i,j,k) + gupyy_loc * Gamzyy(i,j,k) + gupzz_loc * Gamzzz(i,j,k) + &
TWO * (gupxy_loc * Gamzxy(i,j,k) + gupxz_loc * Gamzxz(i,j,k) + gupyz_loc * Gamzyz(i,j,k))
Gamxa(i,j,k) = Gamxa_loc
Gamya(i,j,k) = Gamya_loc
Gamza(i,j,k) = Gamza_loc
Gamx_rhs(i,j,k) = Gamx_rhs(i,j,k) + F2o3 * Gamxa_loc * divb_loc - &
Gamxa_loc * betaxx(i,j,k) - Gamya_loc * betaxy(i,j,k) - Gamza_loc * betaxz(i,j,k) + &
F1o3 * (gupxx_loc * fxx_loc + gupxy_loc * fxy_loc + gupxz_loc * fxz_loc) + &
gupxx_loc * gxxx(i,j,k) + gupyy_loc * gyyx(i,j,k) + gupzz_loc * gzzx(i,j,k) + &
TWO * (gupxy_loc * gxyx(i,j,k) + gupxz_loc * gxzx(i,j,k) + gupyz_loc * gyzx(i,j,k))
Gamy_rhs(i,j,k) = Gamy_rhs(i,j,k) + F2o3 * Gamya_loc * divb_loc - &
Gamxa_loc * betayx(i,j,k) - Gamya_loc * betayy(i,j,k) - Gamza_loc * betayz(i,j,k) + &
F1o3 * (gupxy_loc * fxx_loc + gupyy_loc * fxy_loc + gupyz_loc * fxz_loc) + &
gupxx_loc * gxxy(i,j,k) + gupyy_loc * gyyy(i,j,k) + gupzz_loc * gzzy(i,j,k) + &
TWO * (gupxy_loc * gxyy(i,j,k) + gupxz_loc * gxzy(i,j,k) + gupyz_loc * gyzy(i,j,k))
Gamz_rhs(i,j,k) = Gamz_rhs(i,j,k) + F2o3 * Gamza_loc * divb_loc - &
Gamxa_loc * betazx(i,j,k) - Gamya_loc * betazy(i,j,k) - Gamza_loc * betazz(i,j,k) + &
F1o3 * (gupxz_loc * fxx_loc + gupyz_loc * fxy_loc + gupzz_loc * fxz_loc) + &
gupxx_loc * gxxz(i,j,k) + gupyy_loc * gyyz(i,j,k) + gupzz_loc * gzzz(i,j,k) + &
TWO * (gupxy_loc * gxyz(i,j,k) + gupxz_loc * gxzz(i,j,k) + gupyz_loc * gyzz(i,j,k))
enddo
enddo
enddo
!first kind of connection stored in gij,k
gxxx = gxx * Gamxxx + gxy * Gamyxx + gxz * Gamzxx
@@ -601,192 +655,190 @@
Gamxyz * gxzz + Gamyyz * gyzz + Gamzyz * gzzz + &
Gamxzz * gxzy + Gamyzz * gyzy + Gamzzz * gzzy + &
Gamxyz * gzzx + Gamyyz * gzzy + Gamzyz * gzzz )
!covariant second derivative of chi respect to tilted metric
call fdderivs(ex,chi,fxx,fxy,fxz,fyy,fyz,fzz,X,Y,Z,SYM,SYM,SYM,Symmetry,Lev)
fxx = fxx - Gamxxx * chix - Gamyxx * chiy - Gamzxx * chiz
fxy = fxy - Gamxxy * chix - Gamyxy * chiy - Gamzxy * chiz
fxz = fxz - Gamxxz * chix - Gamyxz * chiy - Gamzxz * chiz
fyy = fyy - Gamxyy * chix - Gamyyy * chiy - Gamzyy * chiz
fyz = fyz - Gamxyz * chix - Gamyyz * chiy - Gamzyz * chiz
fzz = fzz - Gamxzz * chix - Gamyzz * chiy - Gamzzz * chiz
! Store D^l D_l chi - 3/(2*chi) D^l chi D_l chi in f
f = gupxx * ( fxx - F3o2/chin1 * chix * chix ) + &
gupyy * ( fyy - F3o2/chin1 * chiy * chiy ) + &
gupzz * ( fzz - F3o2/chin1 * chiz * chiz ) + &
TWO * gupxy * ( fxy - F3o2/chin1 * chix * chiy ) + &
TWO * gupxz * ( fxz - F3o2/chin1 * chix * chiz ) + &
TWO * gupyz * ( fyz - F3o2/chin1 * chiy * chiz )
! Add chi part to Ricci tensor:
Rxx = Rxx + (fxx - chix*chix/chin1/TWO + gxx * f)/chin1/TWO
Ryy = Ryy + (fyy - chiy*chiy/chin1/TWO + gyy * f)/chin1/TWO
Rzz = Rzz + (fzz - chiz*chiz/chin1/TWO + gzz * f)/chin1/TWO
Rxy = Rxy + (fxy - chix*chiy/chin1/TWO + gxy * f)/chin1/TWO
Rxz = Rxz + (fxz - chix*chiz/chin1/TWO + gxz * f)/chin1/TWO
Ryz = Ryz + (fyz - chiy*chiz/chin1/TWO + gyz * f)/chin1/TWO
! covariant second derivatives of the lapse respect to physical metric
call fdderivs(ex,Lap,fxx,fxy,fxz,fyy,fyz,fzz,X,Y,Z, &
SYM,SYM,SYM,symmetry,Lev)
gxxx = (gupxx * chix + gupxy * chiy + gupxz * chiz)/chin1
gxxy = (gupxy * chix + gupyy * chiy + gupyz * chiz)/chin1
gxxz = (gupxz * chix + gupyz * chiy + gupzz * chiz)/chin1
! now get physical second kind of connection
Gamxxx = Gamxxx - ( (chix + chix)/chin1 - gxx * gxxx )*HALF
Gamyxx = Gamyxx - ( - gxx * gxxy )*HALF
Gamzxx = Gamzxx - ( - gxx * gxxz )*HALF
Gamxyy = Gamxyy - ( - gyy * gxxx )*HALF
Gamyyy = Gamyyy - ( (chiy + chiy)/chin1 - gyy * gxxy )*HALF
Gamzyy = Gamzyy - ( - gyy * gxxz )*HALF
Gamxzz = Gamxzz - ( - gzz * gxxx )*HALF
Gamyzz = Gamyzz - ( - gzz * gxxy )*HALF
Gamzzz = Gamzzz - ( (chiz + chiz)/chin1 - gzz * gxxz )*HALF
Gamxxy = Gamxxy - ( chiy /chin1 - gxy * gxxx )*HALF
Gamyxy = Gamyxy - ( chix /chin1 - gxy * gxxy )*HALF
Gamzxy = Gamzxy - ( - gxy * gxxz )*HALF
Gamxxz = Gamxxz - ( chiz /chin1 - gxz * gxxx )*HALF
Gamyxz = Gamyxz - ( - gxz * gxxy )*HALF
Gamzxz = Gamzxz - ( chix /chin1 - gxz * gxxz )*HALF
Gamxyz = Gamxyz - ( - gyz * gxxx )*HALF
Gamyyz = Gamyyz - ( chiz /chin1 - gyz * gxxy )*HALF
Gamzyz = Gamzyz - ( chiy /chin1 - gyz * gxxz )*HALF
fxx = fxx - Gamxxx*Lapx - Gamyxx*Lapy - Gamzxx*Lapz
fyy = fyy - Gamxyy*Lapx - Gamyyy*Lapy - Gamzyy*Lapz
fzz = fzz - Gamxzz*Lapx - Gamyzz*Lapy - Gamzzz*Lapz
fxy = fxy - Gamxxy*Lapx - Gamyxy*Lapy - Gamzxy*Lapz
fxz = fxz - Gamxxz*Lapx - Gamyxz*Lapy - Gamzxz*Lapz
fyz = fyz - Gamxyz*Lapx - Gamyyz*Lapy - Gamzyz*Lapz
! store D^i D_i Lap in trK_rhs upto chi
trK_rhs = gupxx * fxx + gupyy * fyy + gupzz * fzz + &
TWO* ( gupxy * fxy + gupxz * fxz + gupyz * fyz )
#if 1
!! follow bam code
S = chin1 * ( gupxx * Sxx + gupyy * Syy + gupzz * Szz + &
TWO * ( gupxy * Sxy + gupxz * Sxz + gupyz * Syz ) )
f = F2o3 * trK * trK -(&
gupxx * ( &
gupxx * Axx * Axx + gupyy * Axy * Axy + gupzz * Axz * Axz + &
TWO * (gupxy * Axx * Axy + gupxz * Axx * Axz + gupyz * Axy * Axz) ) + &
gupyy * ( &
gupxx * Axy * Axy + gupyy * Ayy * Ayy + gupzz * Ayz * Ayz + &
TWO * (gupxy * Axy * Ayy + gupxz * Axy * Ayz + gupyz * Ayy * Ayz) ) + &
gupzz * ( &
gupxx * Axz * Axz + gupyy * Ayz * Ayz + gupzz * Azz * Azz + &
TWO * (gupxy * Axz * Ayz + gupxz * Axz * Azz + gupyz * Ayz * Azz) ) + &
TWO * ( &
gupxy * ( &
gupxx * Axx * Axy + gupyy * Axy * Ayy + gupzz * Axz * Ayz + &
gupxy * (Axx * Ayy + Axy * Axy) + &
gupxz * (Axx * Ayz + Axz * Axy) + &
gupyz * (Axy * Ayz + Axz * Ayy) ) + &
gupxz * ( &
gupxx * Axx * Axz + gupyy * Axy * Ayz + gupzz * Axz * Azz + &
gupxy * (Axx * Ayz + Axy * Axz) + &
gupxz * (Axx * Azz + Axz * Axz) + &
gupyz * (Axy * Azz + Axz * Ayz) ) + &
gupyz * ( &
gupxx * Axy * Axz + gupyy * Ayy * Ayz + gupzz * Ayz * Azz + &
gupxy * (Axy * Ayz + Ayy * Axz) + &
gupxz * (Axy * Azz + Ayz * Axz) + &
gupyz * (Ayy * Azz + Ayz * Ayz) ) )) -1.6d1*PI*rho + EIGHT * PI * S
f = - F1o3 *( gupxx * fxx + gupyy * fyy + gupzz * fzz + &
TWO* ( gupxy * fxy + gupxz * fxz + gupyz * fyz ) + alpn1/chin1*f)
fxx = alpn1 * (Rxx - EIGHT * PI * Sxx) - fxx
fxy = alpn1 * (Rxy - EIGHT * PI * Sxy) - fxy
fxz = alpn1 * (Rxz - EIGHT * PI * Sxz) - fxz
fyy = alpn1 * (Ryy - EIGHT * PI * Syy) - fyy
fyz = alpn1 * (Ryz - EIGHT * PI * Syz) - fyz
fzz = alpn1 * (Rzz - EIGHT * PI * Szz) - fzz
#else
! Add lapse and S_ij parts to Ricci tensor:
fxx = alpn1 * (Rxx - EIGHT * PI * Sxx) - fxx
fxy = alpn1 * (Rxy - EIGHT * PI * Sxy) - fxy
fxz = alpn1 * (Rxz - EIGHT * PI * Sxz) - fxz
fyy = alpn1 * (Ryy - EIGHT * PI * Syy) - fyy
fyz = alpn1 * (Ryz - EIGHT * PI * Syz) - fyz
fzz = alpn1 * (Rzz - EIGHT * PI * Szz) - fzz
! Compute trace-free part (note: chi^-1 and chi cancel!):
f = F1o3 *( gupxx * fxx + gupyy * fyy + gupzz * fzz + &
TWO* ( gupxy * fxy + gupxz * fxz + gupyz * fyz ) )
#endif
Axx_rhs = fxx - gxx * f
Ayy_rhs = fyy - gyy * f
Azz_rhs = fzz - gzz * f
Axy_rhs = fxy - gxy * f
Axz_rhs = fxz - gxz * f
Ayz_rhs = fyz - gyz * f
! Now: store A_il A^l_j into fij:
fxx = gupxx * Axx * Axx + gupyy * Axy * Axy + gupzz * Axz * Axz + &
TWO * (gupxy * Axx * Axy + gupxz * Axx * Axz + gupyz * Axy * Axz)
fyy = gupxx * Axy * Axy + gupyy * Ayy * Ayy + gupzz * Ayz * Ayz + &
TWO * (gupxy * Axy * Ayy + gupxz * Axy * Ayz + gupyz * Ayy * Ayz)
fzz = gupxx * Axz * Axz + gupyy * Ayz * Ayz + gupzz * Azz * Azz + &
TWO * (gupxy * Axz * Ayz + gupxz * Axz * Azz + gupyz * Ayz * Azz)
fxy = gupxx * Axx * Axy + gupyy * Axy * Ayy + gupzz * Axz * Ayz + &
gupxy *(Axx * Ayy + Axy * Axy) + &
gupxz *(Axx * Ayz + Axz * Axy) + &
gupyz *(Axy * Ayz + Axz * Ayy)
fxz = gupxx * Axx * Axz + gupyy * Axy * Ayz + gupzz * Axz * Azz + &
gupxy *(Axx * Ayz + Axy * Axz) + &
gupxz *(Axx * Azz + Axz * Axz) + &
gupyz *(Axy * Azz + Axz * Ayz)
fyz = gupxx * Axy * Axz + gupyy * Ayy * Ayz + gupzz * Ayz * Azz + &
gupxy *(Axy * Ayz + Ayy * Axz) + &
gupxz *(Axy * Azz + Ayz * Axz) + &
gupyz *(Ayy * Azz + Ayz * Ayz)
f = chin1
! store D^i D_i Lap in trK_rhs
trK_rhs = f*trK_rhs
Axx_rhs = f * Axx_rhs+ alpn1 * (trK * Axx - TWO * fxx) + &
TWO * ( Axx * betaxx + Axy * betayx + Axz * betazx )- &
F2o3 * Axx * div_beta
Ayy_rhs = f * Ayy_rhs+ alpn1 * (trK * Ayy - TWO * fyy) + &
TWO * ( Axy * betaxy + Ayy * betayy + Ayz * betazy )- &
F2o3 * Ayy * div_beta
Azz_rhs = f * Azz_rhs+ alpn1 * (trK * Azz - TWO * fzz) + &
TWO * ( Axz * betaxz + Ayz * betayz + Azz * betazz )- &
F2o3 * Azz * div_beta
Axy_rhs = f * Axy_rhs+ alpn1 *( trK * Axy - TWO * fxy )+ &
Axx * betaxy + Axz * betazy + &
Ayy * betayx + Ayz * betazx + &
F1o3 * Axy * div_beta - Axy * betazz
Ayz_rhs = f * Ayz_rhs+ alpn1 *( trK * Ayz - TWO * fyz )+ &
Axy * betaxz + Ayy * betayz + &
Axz * betaxy + Azz * betazy + &
F1o3 * Ayz * div_beta - Ayz * betaxx
Axz_rhs = f * Axz_rhs+ alpn1 *( trK * Axz - TWO * fxz )+ &
Axx * betaxz + Axy * betayz + &
Ayz * betayx + Azz * betazx + &
F1o3 * Axz * div_beta - Axz * betayy !rhs for Aij
! Compute trace of S_ij
S = f * ( gupxx * Sxx + gupyy * Syy + gupzz * Szz + &
TWO * ( gupxy * Sxy + gupxz * Sxz + gupyz * Syz ) )
trK_rhs = - trK_rhs + alpn1 *( F1o3 * trK * trK + &
gupxx * fxx + gupyy * fyy + gupzz * fzz + &
TWO * ( gupxy * fxy + gupxz * fxz + gupyz * fyz ) + &
FOUR * PI * ( rho + S )) !rhs for trK
!covariant second derivative of chi respect to tilted metric
call fdderivs(ex,chi,fxx,fxy,fxz,fyy,fyz,fzz,X,Y,Z,SYM,SYM,SYM,Symmetry,Lev)
do k=1,ex(3)
do j=1,ex(2)
do i=1,ex(1)
fxx(i,j,k) = fxx(i,j,k) - Gamxxx(i,j,k) * chix(i,j,k) - Gamyxx(i,j,k) * chiy(i,j,k) - Gamzxx(i,j,k) * chiz(i,j,k)
fxy(i,j,k) = fxy(i,j,k) - Gamxxy(i,j,k) * chix(i,j,k) - Gamyxy(i,j,k) * chiy(i,j,k) - Gamzxy(i,j,k) * chiz(i,j,k)
fxz(i,j,k) = fxz(i,j,k) - Gamxxz(i,j,k) * chix(i,j,k) - Gamyxz(i,j,k) * chiy(i,j,k) - Gamzxz(i,j,k) * chiz(i,j,k)
fyy(i,j,k) = fyy(i,j,k) - Gamxyy(i,j,k) * chix(i,j,k) - Gamyyy(i,j,k) * chiy(i,j,k) - Gamzyy(i,j,k) * chiz(i,j,k)
fyz(i,j,k) = fyz(i,j,k) - Gamxyz(i,j,k) * chix(i,j,k) - Gamyyz(i,j,k) * chiy(i,j,k) - Gamzyz(i,j,k) * chiz(i,j,k)
fzz(i,j,k) = fzz(i,j,k) - Gamxzz(i,j,k) * chix(i,j,k) - Gamyzz(i,j,k) * chiy(i,j,k) - Gamzzz(i,j,k) * chiz(i,j,k)
chin_loc = chin1(i,j,k)
f_loc = gupxx(i,j,k) * (fxx(i,j,k) - F3o2/chin_loc * chix(i,j,k) * chix(i,j,k)) + &
gupyy(i,j,k) * (fyy(i,j,k) - F3o2/chin_loc * chiy(i,j,k) * chiy(i,j,k)) + &
gupzz(i,j,k) * (fzz(i,j,k) - F3o2/chin_loc * chiz(i,j,k) * chiz(i,j,k)) + &
TWO * gupxy(i,j,k) * (fxy(i,j,k) - F3o2/chin_loc * chix(i,j,k) * chiy(i,j,k)) + &
TWO * gupxz(i,j,k) * (fxz(i,j,k) - F3o2/chin_loc * chix(i,j,k) * chiz(i,j,k)) + &
TWO * gupyz(i,j,k) * (fyz(i,j,k) - F3o2/chin_loc * chiy(i,j,k) * chiz(i,j,k))
f(i,j,k) = f_loc
Rxx(i,j,k) = Rxx(i,j,k) + (fxx(i,j,k) - chix(i,j,k)*chix(i,j,k)/chin_loc/TWO + gxx(i,j,k) * f_loc)/chin_loc/TWO
Ryy(i,j,k) = Ryy(i,j,k) + (fyy(i,j,k) - chiy(i,j,k)*chiy(i,j,k)/chin_loc/TWO + gyy(i,j,k) * f_loc)/chin_loc/TWO
Rzz(i,j,k) = Rzz(i,j,k) + (fzz(i,j,k) - chiz(i,j,k)*chiz(i,j,k)/chin_loc/TWO + gzz(i,j,k) * f_loc)/chin_loc/TWO
Rxy(i,j,k) = Rxy(i,j,k) + (fxy(i,j,k) - chix(i,j,k)*chiy(i,j,k)/chin_loc/TWO + gxy(i,j,k) * f_loc)/chin_loc/TWO
Rxz(i,j,k) = Rxz(i,j,k) + (fxz(i,j,k) - chix(i,j,k)*chiz(i,j,k)/chin_loc/TWO + gxz(i,j,k) * f_loc)/chin_loc/TWO
Ryz(i,j,k) = Ryz(i,j,k) + (fyz(i,j,k) - chiy(i,j,k)*chiz(i,j,k)/chin_loc/TWO + gyz(i,j,k) * f_loc)/chin_loc/TWO
enddo
enddo
enddo
! covariant second derivatives of the lapse respect to physical metric
call fdderivs(ex,Lap,fxx,fxy,fxz,fyy,fyz,fzz,X,Y,Z, &
SYM,SYM,SYM,symmetry,Lev)
do k=1,ex(3)
do j=1,ex(2)
do i=1,ex(1)
chin_loc = chin1(i,j,k)
gxxx(i,j,k) = (gupxx(i,j,k) * chix(i,j,k) + gupxy(i,j,k) * chiy(i,j,k) + gupxz(i,j,k) * chiz(i,j,k)) / chin_loc
gxxy(i,j,k) = (gupxy(i,j,k) * chix(i,j,k) + gupyy(i,j,k) * chiy(i,j,k) + gupyz(i,j,k) * chiz(i,j,k)) / chin_loc
gxxz(i,j,k) = (gupxz(i,j,k) * chix(i,j,k) + gupyz(i,j,k) * chiy(i,j,k) + gupzz(i,j,k) * chiz(i,j,k)) / chin_loc
Gamxxx(i,j,k) = Gamxxx(i,j,k) - ( (chix(i,j,k) + chix(i,j,k))/chin_loc - gxx(i,j,k) * gxxx(i,j,k) )*HALF
Gamyxx(i,j,k) = Gamyxx(i,j,k) - ( - gxx(i,j,k) * gxxy(i,j,k) )*HALF
Gamzxx(i,j,k) = Gamzxx(i,j,k) - ( - gxx(i,j,k) * gxxz(i,j,k) )*HALF
Gamxyy(i,j,k) = Gamxyy(i,j,k) - ( - gyy(i,j,k) * gxxx(i,j,k) )*HALF
Gamyyy(i,j,k) = Gamyyy(i,j,k) - ( (chiy(i,j,k) + chiy(i,j,k))/chin_loc - gyy(i,j,k) * gxxy(i,j,k) )*HALF
Gamzyy(i,j,k) = Gamzyy(i,j,k) - ( - gyy(i,j,k) * gxxz(i,j,k) )*HALF
Gamxzz(i,j,k) = Gamxzz(i,j,k) - ( - gzz(i,j,k) * gxxx(i,j,k) )*HALF
Gamyzz(i,j,k) = Gamyzz(i,j,k) - ( - gzz(i,j,k) * gxxy(i,j,k) )*HALF
Gamzzz(i,j,k) = Gamzzz(i,j,k) - ( (chiz(i,j,k) + chiz(i,j,k))/chin_loc - gzz(i,j,k) * gxxz(i,j,k) )*HALF
Gamxxy(i,j,k) = Gamxxy(i,j,k) - ( chiy(i,j,k) /chin_loc - gxy(i,j,k) * gxxx(i,j,k) )*HALF
Gamyxy(i,j,k) = Gamyxy(i,j,k) - ( chix(i,j,k) /chin_loc - gxy(i,j,k) * gxxy(i,j,k) )*HALF
Gamzxy(i,j,k) = Gamzxy(i,j,k) - ( - gxy(i,j,k) * gxxz(i,j,k) )*HALF
Gamxxz(i,j,k) = Gamxxz(i,j,k) - ( chiz(i,j,k) /chin_loc - gxz(i,j,k) * gxxx(i,j,k) )*HALF
Gamyxz(i,j,k) = Gamyxz(i,j,k) - ( - gxz(i,j,k) * gxxy(i,j,k) )*HALF
Gamzxz(i,j,k) = Gamzxz(i,j,k) - ( chix(i,j,k) /chin_loc - gxz(i,j,k) * gxxz(i,j,k) )*HALF
Gamxyz(i,j,k) = Gamxyz(i,j,k) - ( - gyz(i,j,k) * gxxx(i,j,k) )*HALF
Gamyyz(i,j,k) = Gamyyz(i,j,k) - ( chiz(i,j,k) /chin_loc - gyz(i,j,k) * gxxy(i,j,k) )*HALF
Gamzyz(i,j,k) = Gamzyz(i,j,k) - ( chiy(i,j,k) /chin_loc - gyz(i,j,k) * gxxz(i,j,k) )*HALF
fxx(i,j,k) = fxx(i,j,k) - Gamxxx(i,j,k)*Lapx(i,j,k) - Gamyxx(i,j,k)*Lapy(i,j,k) - Gamzxx(i,j,k)*Lapz(i,j,k)
fyy(i,j,k) = fyy(i,j,k) - Gamxyy(i,j,k)*Lapx(i,j,k) - Gamyyy(i,j,k)*Lapy(i,j,k) - Gamzyy(i,j,k)*Lapz(i,j,k)
fzz(i,j,k) = fzz(i,j,k) - Gamxzz(i,j,k)*Lapx(i,j,k) - Gamyzz(i,j,k)*Lapy(i,j,k) - Gamzzz(i,j,k)*Lapz(i,j,k)
fxy(i,j,k) = fxy(i,j,k) - Gamxxy(i,j,k)*Lapx(i,j,k) - Gamyxy(i,j,k)*Lapy(i,j,k) - Gamzxy(i,j,k)*Lapz(i,j,k)
fxz(i,j,k) = fxz(i,j,k) - Gamxxz(i,j,k)*Lapx(i,j,k) - Gamyxz(i,j,k)*Lapy(i,j,k) - Gamzxz(i,j,k)*Lapz(i,j,k)
fyz(i,j,k) = fyz(i,j,k) - Gamxyz(i,j,k)*Lapx(i,j,k) - Gamyyz(i,j,k)*Lapy(i,j,k) - Gamzyz(i,j,k)*Lapz(i,j,k)
trK_rhs(i,j,k) = gupxx(i,j,k) * fxx(i,j,k) + gupyy(i,j,k) * fyy(i,j,k) + gupzz(i,j,k) * fzz(i,j,k) + &
TWO * (gupxy(i,j,k) * fxy(i,j,k) + gupxz(i,j,k) * fxz(i,j,k) + gupyz(i,j,k) * fyz(i,j,k))
enddo
enddo
enddo
do k=1,ex(3)
do j=1,ex(2)
do i=1,ex(1)
divb_loc = div_beta(i,j,k)
chin_loc = chin1(i,j,k)
S_loc = chin_loc * ( gupxx(i,j,k) * Sxx(i,j,k) + gupyy(i,j,k) * Syy(i,j,k) + gupzz(i,j,k) * Szz(i,j,k) + &
TWO * (gupxy(i,j,k) * Sxy(i,j,k) + gupxz(i,j,k) * Sxz(i,j,k) + gupyz(i,j,k) * Syz(i,j,k)) )
S(i,j,k) = S_loc
f_loc = F2o3 * trK(i,j,k) * trK(i,j,k) - ( &
gupxx(i,j,k) * ( gupxx(i,j,k) * Axx(i,j,k) * Axx(i,j,k) + gupyy(i,j,k) * Axy(i,j,k) * Axy(i,j,k) + &
gupzz(i,j,k) * Axz(i,j,k) * Axz(i,j,k) + &
TWO * (gupxy(i,j,k) * Axx(i,j,k) * Axy(i,j,k) + gupxz(i,j,k) * Axx(i,j,k) * Axz(i,j,k) + &
gupyz(i,j,k) * Axy(i,j,k) * Axz(i,j,k)) ) + &
gupyy(i,j,k) * ( gupxx(i,j,k) * Axy(i,j,k) * Axy(i,j,k) + gupyy(i,j,k) * Ayy(i,j,k) * Ayy(i,j,k) + &
gupzz(i,j,k) * Ayz(i,j,k) * Ayz(i,j,k) + &
TWO * (gupxy(i,j,k) * Axy(i,j,k) * Ayy(i,j,k) + gupxz(i,j,k) * Axy(i,j,k) * Ayz(i,j,k) + &
gupyz(i,j,k) * Ayy(i,j,k) * Ayz(i,j,k)) ) + &
gupzz(i,j,k) * ( gupxx(i,j,k) * Axz(i,j,k) * Axz(i,j,k) + gupyy(i,j,k) * Ayz(i,j,k) * Ayz(i,j,k) + &
gupzz(i,j,k) * Azz(i,j,k) * Azz(i,j,k) + &
TWO * (gupxy(i,j,k) * Axz(i,j,k) * Ayz(i,j,k) + gupxz(i,j,k) * Axz(i,j,k) * Azz(i,j,k) + &
gupyz(i,j,k) * Ayz(i,j,k) * Azz(i,j,k)) ) + &
TWO * ( gupxy(i,j,k) * ( gupxx(i,j,k) * Axx(i,j,k) * Axy(i,j,k) + gupyy(i,j,k) * Axy(i,j,k) * Ayy(i,j,k) + &
gupzz(i,j,k) * Axz(i,j,k) * Ayz(i,j,k) + &
gupxy(i,j,k) * (Axx(i,j,k) * Ayy(i,j,k) + Axy(i,j,k) * Axy(i,j,k)) + &
gupxz(i,j,k) * (Axx(i,j,k) * Ayz(i,j,k) + Axz(i,j,k) * Axy(i,j,k)) + &
gupyz(i,j,k) * (Axy(i,j,k) * Ayz(i,j,k) + Axz(i,j,k) * Ayy(i,j,k)) ) + &
gupxz(i,j,k) * ( gupxx(i,j,k) * Axx(i,j,k) * Axz(i,j,k) + gupyy(i,j,k) * Axy(i,j,k) * Ayz(i,j,k) + &
gupzz(i,j,k) * Axz(i,j,k) * Azz(i,j,k) + &
gupxy(i,j,k) * (Axx(i,j,k) * Ayz(i,j,k) + Axy(i,j,k) * Axz(i,j,k)) + &
gupxz(i,j,k) * (Axx(i,j,k) * Azz(i,j,k) + Axz(i,j,k) * Axz(i,j,k)) + &
gupyz(i,j,k) * (Axy(i,j,k) * Azz(i,j,k) + Axz(i,j,k) * Ayz(i,j,k)) ) + &
gupyz(i,j,k) * ( gupxx(i,j,k) * Axy(i,j,k) * Axz(i,j,k) + gupyy(i,j,k) * Ayy(i,j,k) * Ayz(i,j,k) + &
gupzz(i,j,k) * Ayz(i,j,k) * Azz(i,j,k) + &
gupxy(i,j,k) * (Axy(i,j,k) * Ayz(i,j,k) + Ayy(i,j,k) * Axz(i,j,k)) + &
gupxz(i,j,k) * (Axy(i,j,k) * Azz(i,j,k) + Ayz(i,j,k) * Axz(i,j,k)) + &
gupyz(i,j,k) * (Ayy(i,j,k) * Azz(i,j,k) + Ayz(i,j,k) * Ayz(i,j,k)) ) ) ) - &
F16 * PI * rho(i,j,k) + EIGHT * PI * S_loc
f_loc = -F1o3 * ( gupxx(i,j,k) * fxx(i,j,k) + gupyy(i,j,k) * fyy(i,j,k) + gupzz(i,j,k) * fzz(i,j,k) + &
TWO * (gupxy(i,j,k) * fxy(i,j,k) + gupxz(i,j,k) * fxz(i,j,k) + gupyz(i,j,k) * fyz(i,j,k)) + &
alpn1(i,j,k)/chin_loc * f_loc )
f(i,j,k) = f_loc
l_fxx = alpn1(i,j,k) * (Rxx(i,j,k) - EIGHT * PI * Sxx(i,j,k)) - fxx(i,j,k)
l_fxy = alpn1(i,j,k) * (Rxy(i,j,k) - EIGHT * PI * Sxy(i,j,k)) - fxy(i,j,k)
l_fxz = alpn1(i,j,k) * (Rxz(i,j,k) - EIGHT * PI * Sxz(i,j,k)) - fxz(i,j,k)
l_fyy = alpn1(i,j,k) * (Ryy(i,j,k) - EIGHT * PI * Syy(i,j,k)) - fyy(i,j,k)
l_fyz = alpn1(i,j,k) * (Ryz(i,j,k) - EIGHT * PI * Syz(i,j,k)) - fyz(i,j,k)
l_fzz = alpn1(i,j,k) * (Rzz(i,j,k) - EIGHT * PI * Szz(i,j,k)) - fzz(i,j,k)
Axx_rhs(i,j,k) = l_fxx - gxx(i,j,k) * f_loc
Ayy_rhs(i,j,k) = l_fyy - gyy(i,j,k) * f_loc
Azz_rhs(i,j,k) = l_fzz - gzz(i,j,k) * f_loc
Axy_rhs(i,j,k) = l_fxy - gxy(i,j,k) * f_loc
Axz_rhs(i,j,k) = l_fxz - gxz(i,j,k) * f_loc
Ayz_rhs(i,j,k) = l_fyz - gyz(i,j,k) * f_loc
fxx(i,j,k) = gupxx(i,j,k) * Axx(i,j,k) * Axx(i,j,k) + gupyy(i,j,k) * Axy(i,j,k) * Axy(i,j,k) + &
gupzz(i,j,k) * Axz(i,j,k) * Axz(i,j,k) + TWO * (gupxy(i,j,k) * Axx(i,j,k) * Axy(i,j,k) + &
gupxz(i,j,k) * Axx(i,j,k) * Axz(i,j,k) + gupyz(i,j,k) * Axy(i,j,k) * Axz(i,j,k))
fyy(i,j,k) = gupxx(i,j,k) * Axy(i,j,k) * Axy(i,j,k) + gupyy(i,j,k) * Ayy(i,j,k) * Ayy(i,j,k) + &
gupzz(i,j,k) * Ayz(i,j,k) * Ayz(i,j,k) + TWO * (gupxy(i,j,k) * Axy(i,j,k) * Ayy(i,j,k) + &
gupxz(i,j,k) * Axy(i,j,k) * Ayz(i,j,k) + gupyz(i,j,k) * Ayy(i,j,k) * Ayz(i,j,k))
fzz(i,j,k) = gupxx(i,j,k) * Axz(i,j,k) * Axz(i,j,k) + gupyy(i,j,k) * Ayz(i,j,k) * Ayz(i,j,k) + &
gupzz(i,j,k) * Azz(i,j,k) * Azz(i,j,k) + TWO * (gupxy(i,j,k) * Axz(i,j,k) * Ayz(i,j,k) + &
gupxz(i,j,k) * Axz(i,j,k) * Azz(i,j,k) + gupyz(i,j,k) * Ayz(i,j,k) * Azz(i,j,k))
fxy(i,j,k) = gupxx(i,j,k) * Axx(i,j,k) * Axy(i,j,k) + gupyy(i,j,k) * Axy(i,j,k) * Ayy(i,j,k) + &
gupzz(i,j,k) * Axz(i,j,k) * Ayz(i,j,k) + gupxy(i,j,k) * (Axx(i,j,k) * Ayy(i,j,k) + Axy(i,j,k) * Axy(i,j,k)) + &
gupxz(i,j,k) * (Axx(i,j,k) * Ayz(i,j,k) + Axz(i,j,k) * Axy(i,j,k)) + &
gupyz(i,j,k) * (Axy(i,j,k) * Ayz(i,j,k) + Axz(i,j,k) * Ayy(i,j,k))
fxz(i,j,k) = gupxx(i,j,k) * Axx(i,j,k) * Axz(i,j,k) + gupyy(i,j,k) * Axy(i,j,k) * Ayz(i,j,k) + &
gupzz(i,j,k) * Axz(i,j,k) * Azz(i,j,k) + gupxy(i,j,k) * (Axx(i,j,k) * Ayz(i,j,k) + Axy(i,j,k) * Axz(i,j,k)) + &
gupxz(i,j,k) * (Axx(i,j,k) * Azz(i,j,k) + Axz(i,j,k) * Axz(i,j,k)) + &
gupyz(i,j,k) * (Axy(i,j,k) * Azz(i,j,k) + Axz(i,j,k) * Ayz(i,j,k))
fyz(i,j,k) = gupxx(i,j,k) * Axy(i,j,k) * Axz(i,j,k) + gupyy(i,j,k) * Ayy(i,j,k) * Ayz(i,j,k) + &
gupzz(i,j,k) * Ayz(i,j,k) * Azz(i,j,k) + gupxy(i,j,k) * (Axy(i,j,k) * Ayz(i,j,k) + Ayy(i,j,k) * Axz(i,j,k)) + &
gupxz(i,j,k) * (Axy(i,j,k) * Azz(i,j,k) + Ayz(i,j,k) * Axz(i,j,k)) + &
gupyz(i,j,k) * (Ayy(i,j,k) * Azz(i,j,k) + Ayz(i,j,k) * Ayz(i,j,k))
trK_rhs(i,j,k) = chin_loc * trK_rhs(i,j,k)
Axx_rhs(i,j,k) = chin_loc * Axx_rhs(i,j,k) + alpn1(i,j,k) * (trK(i,j,k) * Axx(i,j,k) - TWO * fxx(i,j,k)) + &
TWO * (Axx(i,j,k) * betaxx(i,j,k) + Axy(i,j,k) * betayx(i,j,k) + Axz(i,j,k) * betazx(i,j,k)) - &
F2o3 * Axx(i,j,k) * divb_loc
Ayy_rhs(i,j,k) = chin_loc * Ayy_rhs(i,j,k) + alpn1(i,j,k) * (trK(i,j,k) * Ayy(i,j,k) - TWO * fyy(i,j,k)) + &
TWO * (Axy(i,j,k) * betaxy(i,j,k) + Ayy(i,j,k) * betayy(i,j,k) + Ayz(i,j,k) * betazy(i,j,k)) - &
F2o3 * Ayy(i,j,k) * divb_loc
Azz_rhs(i,j,k) = chin_loc * Azz_rhs(i,j,k) + alpn1(i,j,k) * (trK(i,j,k) * Azz(i,j,k) - TWO * fzz(i,j,k)) + &
TWO * (Axz(i,j,k) * betaxz(i,j,k) + Ayz(i,j,k) * betayz(i,j,k) + Azz(i,j,k) * betazz(i,j,k)) - &
F2o3 * Azz(i,j,k) * divb_loc
Axy_rhs(i,j,k) = chin_loc * Axy_rhs(i,j,k) + alpn1(i,j,k) * (trK(i,j,k) * Axy(i,j,k) - TWO * fxy(i,j,k)) + &
Axx(i,j,k) * betaxy(i,j,k) + Axz(i,j,k) * betazy(i,j,k) + Ayy(i,j,k) * betayx(i,j,k) + &
Ayz(i,j,k) * betazx(i,j,k) + F1o3 * Axy(i,j,k) * divb_loc - Axy(i,j,k) * betazz(i,j,k)
Ayz_rhs(i,j,k) = chin_loc * Ayz_rhs(i,j,k) + alpn1(i,j,k) * (trK(i,j,k) * Ayz(i,j,k) - TWO * fyz(i,j,k)) + &
Axy(i,j,k) * betaxz(i,j,k) + Ayy(i,j,k) * betayz(i,j,k) + Axz(i,j,k) * betaxy(i,j,k) + &
Azz(i,j,k) * betazy(i,j,k) + F1o3 * Ayz(i,j,k) * divb_loc - Ayz(i,j,k) * betaxx(i,j,k)
Axz_rhs(i,j,k) = chin_loc * Axz_rhs(i,j,k) + alpn1(i,j,k) * (trK(i,j,k) * Axz(i,j,k) - TWO * fxz(i,j,k)) + &
Axx(i,j,k) * betaxz(i,j,k) + Axy(i,j,k) * betayz(i,j,k) + Ayz(i,j,k) * betayx(i,j,k) + &
Azz(i,j,k) * betazx(i,j,k) + F1o3 * Axz(i,j,k) * divb_loc - Axz(i,j,k) * betayy(i,j,k)
trK_rhs(i,j,k) = - trK_rhs(i,j,k) + alpn1(i,j,k) * ( F1o3 * trK(i,j,k) * trK(i,j,k) + &
gupxx(i,j,k) * fxx(i,j,k) + gupyy(i,j,k) * fyy(i,j,k) + gupzz(i,j,k) * fzz(i,j,k) + &
TWO * (gupxy(i,j,k) * fxy(i,j,k) + gupxz(i,j,k) * fxz(i,j,k) + gupyz(i,j,k) * fyz(i,j,k)) + &
FOUR * PI * (rho(i,j,k) + S_loc) )
enddo
enddo
enddo
!!!! gauge variable part
@@ -948,15 +1000,15 @@
!!!!!!!!!advection term + Kreiss-Oliger dissipation (merged for cache efficiency)
! lopsided_kodis shares the symmetry_bd buffer between advection and
! dissipation, eliminating redundant full-grid copies. For metric variables
! gxx/gyy/gzz (=dxx/dyy/dzz+1): kodis stencil coefficients sum to zero,
! so the constant offset has no effect on dissipation.
call lopsided_kodis(ex,X,Y,Z,gxx,gxx_rhs,betax,betay,betaz,Symmetry,SSS,eps)
call lopsided_kodis(ex,X,Y,Z,gxy,gxy_rhs,betax,betay,betaz,Symmetry,AAS,eps)
call lopsided_kodis(ex,X,Y,Z,gxz,gxz_rhs,betax,betay,betaz,Symmetry,ASA,eps)
call lopsided_kodis(ex,X,Y,Z,gyy,gyy_rhs,betax,betay,betaz,Symmetry,SSS,eps)
call lopsided_kodis(ex,X,Y,Z,gyz,gyz_rhs,betax,betay,betaz,Symmetry,SAA,eps)
call lopsided_kodis(ex,X,Y,Z,gzz,gzz_rhs,betax,betay,betaz,Symmetry,SSS,eps)
! gxx/gyy/gzz (=dxx/dyy/dzz+1): stencil coefficients sum to zero,
! so the constant offset has no effect on dissipation.
call lopsided_kodis(ex,X,Y,Z,dxx,gxx_rhs,betax,betay,betaz,Symmetry,SSS,eps)
call lopsided_kodis(ex,X,Y,Z,gxy,gxy_rhs,betax,betay,betaz,Symmetry,AAS,eps)
call lopsided_kodis(ex,X,Y,Z,gxz,gxz_rhs,betax,betay,betaz,Symmetry,ASA,eps)
call lopsided_kodis(ex,X,Y,Z,dyy,gyy_rhs,betax,betay,betaz,Symmetry,SSS,eps)
call lopsided_kodis(ex,X,Y,Z,gyz,gyz_rhs,betax,betay,betaz,Symmetry,SAA,eps)
call lopsided_kodis(ex,X,Y,Z,dzz,gzz_rhs,betax,betay,betaz,Symmetry,SSS,eps)
call lopsided_kodis(ex,X,Y,Z,Axx,Axx_rhs,betax,betay,betaz,Symmetry,SSS,eps)
call lopsided_kodis(ex,X,Y,Z,Axy,Axy_rhs,betax,betay,betaz,Symmetry,AAS,eps)
+20 -7
View File
@@ -22,19 +22,32 @@
#define f_compute_rhs_Z4c_ss COMPUTE_RHS_Z4C_SS
#define f_compute_constraint_fr COMPUTE_CONSTRAINT_FR
#endif
#ifdef fortran3
#define f_compute_rhs_bssn compute_rhs_bssn_
#ifdef fortran3
#define f_compute_rhs_bssn compute_rhs_bssn_
#define f_compute_rhs_bssn_ss compute_rhs_bssn_ss_
#define f_compute_rhs_bssn_escalar compute_rhs_bssn_escalar_
#define f_compute_rhs_bssn_escalar_ss compute_rhs_bssn_escalar_ss_
#define f_compute_rhs_Z4c compute_rhs_z4c_
#define f_compute_rhs_Z4cnot compute_rhs_z4cnot_
#define f_compute_rhs_Z4c_ss compute_rhs_z4c_ss_
#define f_compute_constraint_fr compute_constraint_fr_
#endif
extern "C"
{
int f_compute_rhs_bssn(int *, double &, double *, double *, double *, // ex,T,X,Y,Z
#define f_compute_constraint_fr compute_constraint_fr_
#endif
#ifdef __cplusplus
extern "C"
{
#endif
void f_bssn_rhs_kernel_timing_reset();
int f_bssn_rhs_kernel_timing_bucket_count();
const double *f_bssn_rhs_kernel_timing_local_seconds();
const char *f_bssn_rhs_kernel_timing_label(int);
#ifdef __cplusplus
}
#endif
extern "C"
{
int f_compute_rhs_bssn(int *, double &, double *, double *, double *, // ex,T,X,Y,Z
double *, double *, // chi, trK
double *, double *, double *, double *, double *, double *, // gij
double *, double *, double *, double *, double *, double *, // Aij
File diff suppressed because it is too large Load Diff
File diff suppressed because it is too large Load Diff
+413
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@@ -0,0 +1,413 @@
#ifndef BSSN_RHS_CUDA_H
#define BSSN_RHS_CUDA_H
#ifdef __cplusplus
extern "C" {
#endif
enum {
BSSN_CUDA_STATE_COUNT = 24,
BSSN_ESCALAR_CUDA_STATE_COUNT = 26,
BSSN_EM_CUDA_STATE_COUNT = 32,
BSSN_EM_CUDA_SOURCE_COUNT = 4,
BSSN_CUDA_MATTER_COUNT = 10
};
int f_compute_rhs_bssn(int *ex, double &T,
double *X, double *Y, double *Z,
double *chi, double *trK,
double *dxx, double *gxy, double *gxz, double *dyy, double *gyz, double *dzz,
double *Axx, double *Axy, double *Axz, double *Ayy, double *Ayz, double *Azz,
double *Gamx, double *Gamy, double *Gamz,
double *Lap, double *betax, double *betay, double *betaz,
double *dtSfx, double *dtSfy, double *dtSfz,
double *chi_rhs, double *trK_rhs,
double *gxx_rhs, double *gxy_rhs, double *gxz_rhs, double *gyy_rhs, double *gyz_rhs, double *gzz_rhs,
double *Axx_rhs, double *Axy_rhs, double *Axz_rhs, double *Ayy_rhs, double *Ayz_rhs, double *Azz_rhs,
double *Gamx_rhs, double *Gamy_rhs, double *Gamz_rhs,
double *Lap_rhs, double *betax_rhs, double *betay_rhs, double *betaz_rhs,
double *dtSfx_rhs, double *dtSfy_rhs, double *dtSfz_rhs,
double *rho, double *Sx, double *Sy, double *Sz,
double *Sxx, double *Sxy, double *Sxz, double *Syy, double *Syz, double *Szz,
double *Gamxxx, double *Gamxxy, double *Gamxxz, double *Gamxyy, double *Gamxyz, double *Gamxzz,
double *Gamyxx, double *Gamyxy, double *Gamyxz, double *Gamyyy, double *Gamyyz, double *Gamyzz,
double *Gamzxx, double *Gamzxy, double *Gamzxz, double *Gamzyy, double *Gamzyz, double *Gamzzz,
double *Rxx, double *Rxy, double *Rxz, double *Ryy, double *Ryz, double *Rzz,
double *ham_Res, double *movx_Res, double *movy_Res, double *movz_Res,
double *Gmx_Res, double *Gmy_Res, double *Gmz_Res,
int &Symmetry, int &Lev, double &eps, int &co);
int bssn_cuda_rk4_substep(void *block_tag,
int *ex, double *X, double *Y, double *Z,
double **state_host_in,
double **state_host_out,
double **matter_host,
const double *propspeed,
const double *soa_flat,
const double *bbox,
double &dT,
double &T,
int &RK4,
int &apply_bam_bc,
int &Symmetry,
int &Lev,
double &eps,
int &co,
int &use_zero_matter,
int &keep_resident_state,
int &apply_enforce_ga,
double &chitiny);
int bssn_escalar_cuda_rk4_substep(void *block_tag,
int *ex, double *X, double *Y, double *Z,
double **state_host_in,
double **state_host_out,
const double *propspeed,
const double *soa_flat,
const double *bbox,
double &dT,
double &T,
int &RK4,
int &apply_bam_bc,
int &Symmetry,
int &Lev,
double &eps,
int &co,
int &keep_resident_state,
int &apply_enforce_ga,
double &chitiny);
int bssn_escalar_cuda_compute_constraints(int *ex, double *X, double *Y, double *Z,
double **state_host_in,
double **constraint_host_out,
int &Symmetry,
int &Lev,
double &eps);
int bssn_em_cuda_rk4_substep(void *block_tag,
int *ex, double *X, double *Y, double *Z,
double **state_host_in,
double **state_host_out,
double **source_host,
const double *propspeed,
const double *soa_flat,
const double *bbox,
double &dT,
double &T,
int &RK4,
int &apply_bam_bc,
int &Symmetry,
int &Lev,
double &eps,
int &co,
int &keep_resident_state,
int &apply_enforce_ga,
double &chitiny);
int bssn_em_cuda_resident_zero_fast_state(void *block_tag);
int bssn_cuda_copy_state_region_to_host(void *block_tag,
int state_index,
double *host_state,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int bssn_cuda_copy_state_region_from_host(void *block_tag,
int state_index,
double *host_state,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int bssn_cuda_download_resident_state(void *block_tag,
int *ex,
double **state_host_out);
int bssn_escalar_cuda_download_resident_state(void *block_tag,
int *ex,
double **state_host_out);
int bssn_cuda_upload_resident_state_count(void *block_tag,
int *ex,
double **state_host_in,
int state_count);
int bssn_escalar_cuda_upload_resident_state(void *block_tag,
int *ex,
double **state_host_in);
int bssn_cuda_keep_only_resident_state_count(void *block_tag,
int *ex,
double **state_host_key,
int state_count);
int bssn_escalar_cuda_keep_only_resident_state(void *block_tag,
int *ex,
double **state_host_key);
int bssn_cuda_download_resident_state_count_if_present(void *block_tag,
int *ex,
double **state_host_out,
int state_count);
int bssn_cuda_download_resident_state_if_present(void *block_tag,
int *ex,
double **state_host_out);
int bssn_cuda_download_constraint_outputs(int *ex,
double **constraint_host_out);
int bssn_cuda_pack_state_region_to_host_buffer(void *block_tag,
int state_index,
double *host_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int bssn_cuda_interp_state_point3(void *block_tag,
int *ex,
int state0,
int state1,
int state2,
double x0,
double y0,
double z0,
double dx,
double dy,
double dz,
double px,
double py,
double pz,
int ordn,
int symmetry,
double **state_host_key,
const double *soa3,
double *out3);
int bssn_cuda_interp_host_two_fields(void *block_tag,
int *ex,
double *field0,
double *field1,
double x0,
double y0,
double z0,
double dx,
double dy,
double dz,
const double *px,
const double *py,
const double *pz,
int npoints,
int ordn,
int symmetry,
const double *soa6,
double *out_interleaved);
int bssn_cuda_unpack_state_region_from_host_buffer(void *block_tag,
int state_index,
double *host_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int bssn_cuda_unpack_state_region_from_host_buffer_for_host_views(void *block_tag,
double **state_host_key,
int state_count,
int state_index,
double *host_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int bssn_cuda_pack_state_batch_to_host_buffer(void *block_tag,
int state_count,
double *host_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int bssn_cuda_pack_state_batch_to_host_buffer_for_host_views(void *block_tag,
double **state_host_key,
int state_count,
double *host_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int bssn_cuda_unpack_state_batch_from_host_buffer(void *block_tag,
int state_count,
double *host_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int bssn_cuda_unpack_state_batch_from_host_buffer_for_host_views(void *block_tag,
double **state_host_key,
int state_count,
double *host_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int bssn_cuda_pack_state_batch_to_device_buffer(void *block_tag,
int state_count,
double *device_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int bssn_cuda_pack_state_batch_to_device_buffer_for_host_views(void *block_tag,
double **state_host_key,
int state_count,
double *device_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int bssn_cuda_unpack_state_batch_from_device_buffer(void *block_tag,
int state_count,
double *device_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int bssn_cuda_unpack_state_batch_from_device_buffer_for_host_views(void *block_tag,
double **state_host_key,
int state_count,
double *device_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int bssn_cuda_pack_state_segments_to_device_buffer(void *block_tag,
int state_count,
double *device_buffer,
int *ex,
int segment_count,
const int *segment_meta);
int bssn_cuda_pack_state_segments_to_device_buffer_for_host_views(void *block_tag,
double **state_host_key,
int state_count,
double *device_buffer,
int *ex,
int segment_count,
const int *segment_meta);
int bssn_cuda_unpack_state_segments_from_device_buffer(void *block_tag,
int state_count,
double *device_buffer,
int *ex,
int segment_count,
const int *segment_meta);
int bssn_cuda_unpack_state_segments_from_device_buffer_for_host_views(void *block_tag,
double **state_host_key,
int state_count,
double *device_buffer,
int *ex,
int segment_count,
const int *segment_meta);
int bssn_cuda_restrict_state_segments_to_device_buffer(void *block_tag,
int state_count,
double *device_buffer,
int *ex,
int segment_count,
const int *segment_meta);
int bssn_cuda_restrict_state_segments_to_device_buffer_for_host_views(void *block_tag,
double **state_host_key,
int state_count,
double *device_buffer,
int *ex,
int segment_count,
const int *segment_meta,
const double *state_soa);
int bssn_cuda_prolong_state_segments_to_device_buffer(void *block_tag,
int state_count,
double *device_buffer,
int *ex,
int segment_count,
const int *segment_meta);
int bssn_cuda_prolong_state_segments_to_device_buffer_for_host_views(void *block_tag,
double **state_host_key,
int state_count,
double *device_buffer,
int *ex,
int segment_count,
const int *segment_meta,
const double *state_soa);
int bssn_cuda_restrict_state_batch_to_device_buffer(void *block_tag,
int state_count,
double *device_buffer,
int *ex,
int sx, int sy, int sz,
int fi0, int fj0, int fk0);
int bssn_cuda_restrict_state_batch_to_device_buffer_for_host_views(void *block_tag,
double **state_host_key,
int state_count,
double *device_buffer,
int *ex,
int sx, int sy, int sz,
int fi0, int fj0, int fk0,
const double *state_soa);
int bssn_cuda_prolong_state_batch_to_device_buffer(void *block_tag,
int state_count,
double *device_buffer,
int *ex,
int sx, int sy, int sz,
int ii0, int jj0, int kk0,
int lbc_i, int lbc_j, int lbc_k);
int bssn_cuda_prolong_state_batch_to_device_buffer_for_host_views(void *block_tag,
double **state_host_key,
int state_count,
double *device_buffer,
int *ex,
int sx, int sy, int sz,
int ii0, int jj0, int kk0,
int lbc_i, int lbc_j, int lbc_k,
const double *state_soa);
int bssn_cuda_download_state_subset(void *block_tag,
int *ex,
int subset_count,
const int *state_indices,
double **state_host_out);
int bssn_cuda_upload_state_subset(void *block_tag,
int *ex,
int subset_count,
const int *state_indices,
double **state_host_in);
int bssn_cuda_prepare_inter_time_level(void *block_tag,
int *ex,
int state_count,
double **src1_host_key,
double **src2_host_key,
double **src3_host_key,
double **dst_host_key,
int source_count,
int tindex);
int bssn_cuda_has_resident_state(void *block_tag);
void bssn_cuda_release_step_ctx(void *block_tag);
#ifdef __cplusplus
}
// C++-only helpers declared for derived equation classes (Z4C, etc.)
// Defined in bssn_class.C. Requires MyList, Patch, var from including TU.
bool bssn_cuda_use_resident_sync(int lev);
void bssn_cuda_download_level_state_if_present(MyList<Patch> *PatL, MyList<var> *vars, int myrank);
#endif
#endif
File diff suppressed because it is too large Load Diff
+4
View File
@@ -130,7 +130,11 @@ void cgh::compose_cgh(int nprocs)
for (int lev = 0; lev < levels; lev++)
{
checkPatchList(PatL[lev], false);
#ifdef INTERP_LB_OPTIMIZE
Parallel::distribute_optimize(PatL[lev], nprocs, ingfs, fngfs, false);
#else
Parallel::distribute(PatL[lev], nprocs, ingfs, fngfs, false);
#endif
#if (RPB == 1)
// we need distributed box of PatL[lev] and PatL[lev-1]
if (lev > 0)
+25 -22
View File
@@ -76,8 +76,11 @@ checkpoint::checkpoint(bool checked, const char fname[], int myrank) : filename(
I_Print = (myrank == 0);
int i = strlen(fname);
filename = new char[i+30];
size_t filename_len = out_dir.size() + strlen(fname) + 32;
#ifdef CHECKDETAIL
filename_len += 32;
#endif
filename = new char[filename_len];
// cout << filename << endl;
// cout << i << endl;
@@ -100,12 +103,12 @@ checkpoint::checkpoint(bool checked, const char fname[], int myrank) : filename(
cout << " checkpoint class created " << endl;
}
}
checkpoint::~checkpoint()
{
CheckList->clearList();
if (I_Print)
delete[] filename;
}
checkpoint::~checkpoint()
{
CheckList->clearList();
if (filename)
delete[] filename;
}
void checkpoint::addvariable(var *VV)
{
@@ -136,7 +139,7 @@ void checkpoint::writecheck_cgh(double time, cgh *GH)
if (I_Print)
{
// char fname[50];
char fname[50+50];
char fname[4096];
sprintf(fname, "%s_cgh.CHK", filename);
outfile.open(fname, ios::out | ios::trunc);
@@ -195,7 +198,7 @@ void checkpoint::readcheck_cgh(double &time, cgh *GH, int myrank, int nprocs, in
int DIM = dim;
ifstream infile;
// char fname[50];
char fname[50+50];
char fname[4096];
sprintf(fname, "%s_cgh.CHK", filename);
infile.open(fname);
@@ -297,7 +300,7 @@ void checkpoint::writecheck_sh(double time, ShellPatch *SH)
if (I_Print)
{
char fname[50];
char fname[4096];
sprintf(fname, "%s_sh.CHK", filename);
outfile.open(fname, ios::out | ios::trunc);
@@ -335,7 +338,7 @@ void checkpoint::readcheck_sh(ShellPatch *SH, int myrank)
int DIM = dim;
ifstream infile;
// char fname[50];
char fname[50+50];
char fname[4096];
sprintf(fname, "%s_sh.CHK", filename);
infile.open(fname);
@@ -390,7 +393,7 @@ void checkpoint::write_Black_Hole_position(int BH_num_input, int BH_num, double
if (I_Print)
{
char fname[50];
char fname[4096];
sprintf(fname, "%s_BHp.CHK", filename);
outfile.open(fname, ios::out | ios::trunc);
@@ -417,7 +420,7 @@ void checkpoint::read_Black_Hole_position(int &BH_num_input, int &BH_num, double
{
ifstream infile;
// char fname[50];
char fname[50+50];
char fname[4096];
sprintf(fname, "%s_BHp.CHK", filename);
infile.open(fname);
@@ -461,7 +464,7 @@ void checkpoint::write_bssn(double LastDump, double Last2dDump, double LastAnas)
if (I_Print)
{
char fname[50];
char fname[4096];
sprintf(fname, "%s_bssn.CHK", filename);
outfile.open(fname, ios::out | ios::trunc);
@@ -481,7 +484,7 @@ void checkpoint::read_bssn(double &LastDump, double &Last2dDump, double &LastAna
{
ifstream infile;
// char fname[50];
char fname[50+50];
char fname[4096];
sprintf(fname, "%s_bssn.CHK", filename);
infile.open(fname);
@@ -506,7 +509,7 @@ void checkpoint::write_bssn(double LastDump, double Last2dDump, double LastAnas)
ofstream outfile;
// char fname[50];
char fname[50+50];
char fname[4096];
sprintf(fname, "%s_bssn.CHK", filename);
outfile.open(fname, ios::out | ios::trunc);
@@ -527,7 +530,7 @@ void checkpoint::read_bssn(double &LastDump, double &Last2dDump, double &LastAna
{
ifstream infile;
// char fname[50];
char fname[50+50];
char fname[4096];
sprintf(fname, "%s_bssn.CHK", filename);
infile.open(fname);
@@ -551,7 +554,7 @@ void checkpoint::write_Black_Hole_position(int BH_num_input, int BH_num, double
ofstream outfile;
// char fname[50];
char fname[50+50];
char fname[4096];
sprintf(fname, "%s_BHp.CHK", filename);
outfile.open(fname, ios::out | ios::trunc);
@@ -581,7 +584,7 @@ void checkpoint::read_Black_Hole_position(int &BH_num_input, int &BH_num, double
{
ifstream infile;
// char fname[50];
char fname[50+50];
char fname[4096];
sprintf(fname, "%s_BHp.CHK", filename);
infile.open(fname);
@@ -628,7 +631,7 @@ void checkpoint::writecheck_cgh(double time, cgh *GH)
ofstream outfile;
// char fname[50];
char fname[50+50];
char fname[4096];
sprintf(fname, "%s_cgh.CHK", filename);
outfile.open(fname, ios::out | ios::trunc);
@@ -738,7 +741,7 @@ void checkpoint::readcheck_cgh(double &time, cgh *GH, int myrank, int nprocs, in
int DIM = dim;
ifstream infile;
// char fname[50];
char fname[50+50];
char fname[4096];
sprintf(fname, "%s_cgh.CHK", filename);
infile.open(fname);
+54 -15
View File
@@ -33,7 +33,7 @@
real*8 :: dX,dY,dZ
real*8,dimension(0:ex(1),0:ex(2),0:ex(3)) :: fh
real*8, dimension(3) :: SoA
integer :: imin,jmin,kmin,imax,jmax,kmax,i,j,k
integer :: imin,jmin,kmin,imax,jmax,kmax,i,j,k
real*8 :: d2dx,d2dy,d2dz
integer, parameter :: NO_SYMM = 0, EQ_SYMM = 1, OCTANT = 2
real*8, parameter :: ZEO=0.d0,ONE=1.d0, F60=6.d1
@@ -137,7 +137,7 @@
real*8 :: dX
real*8,dimension(0:ex(1),0:ex(2),0:ex(3)) :: fh
real*8, dimension(3) :: SoA
integer :: imin,jmin,kmin,imax,jmax,kmax,i,j,k
integer :: imin,jmin,kmin,imax,jmax,kmax,i,j,k
real*8 :: d2dx
integer, parameter :: NO_SYMM = 0, EQ_SYMM = 1, OCTANT = 2
real*8, parameter :: ZEO=0.d0,ONE=1.d0, F60=6.d1
@@ -1512,8 +1512,9 @@
real*8 :: dX,dY,dZ
real*8,dimension(-1:ex(1),-1:ex(2),-1:ex(3)) :: fh
real*8, dimension(3) :: SoA
integer :: imin,jmin,kmin,imax,jmax,kmax,i,j,k
real*8 :: Sdxdx,Sdydy,Sdzdz,Fdxdx,Fdydy,Fdzdz
integer :: imin,jmin,kmin,imax,jmax,kmax,i,j,k
integer :: i_core_min,i_core_max,j_core_min,j_core_max,k_core_min,k_core_max
real*8 :: Sdxdx,Sdydy,Sdzdz,Fdxdx,Fdydy,Fdzdz
real*8 :: Sdxdy,Sdxdz,Sdydz,Fdxdy,Fdxdz,Fdydz
integer, parameter :: NO_SYMM = 0, EQ_SYMM = 1, OCTANT = 2
real*8, parameter :: ZEO=0.d0, ONE=1.d0, TWO=2.d0, F1o4=2.5d-1, F9=9.d0, F45=4.5d1
@@ -1560,17 +1561,55 @@
fxx = ZEO
fyy = ZEO
fzz = ZEO
fxy = ZEO
fxz = ZEO
fyz = ZEO
do k=1,ex(3)
do j=1,ex(2)
do i=1,ex(1)
!~~~~~~ fxx
if(i+2 <= imax .and. i-2 >= imin)then
!
fzz = ZEO
fxy = ZEO
fxz = ZEO
fyz = ZEO
i_core_min = max(1, imin+2)
i_core_max = min(ex(1), imax-2)
j_core_min = max(1, jmin+2)
j_core_max = min(ex(2), jmax-2)
k_core_min = max(1, kmin+2)
k_core_max = min(ex(3), kmax-2)
if(i_core_min <= i_core_max .and. j_core_min <= j_core_max .and. k_core_min <= k_core_max)then
do k=k_core_min,k_core_max
do j=j_core_min,j_core_max
do i=i_core_min,i_core_max
! interior points always use 4th-order stencils without branch checks
fxx(i,j,k) = Fdxdx*(-fh(i-2,j,k)+F16*fh(i-1,j,k)-F30*fh(i,j,k) &
-fh(i+2,j,k)+F16*fh(i+1,j,k) )
fyy(i,j,k) = Fdydy*(-fh(i,j-2,k)+F16*fh(i,j-1,k)-F30*fh(i,j,k) &
-fh(i,j+2,k)+F16*fh(i,j+1,k) )
fzz(i,j,k) = Fdzdz*(-fh(i,j,k-2)+F16*fh(i,j,k-1)-F30*fh(i,j,k) &
-fh(i,j,k+2)+F16*fh(i,j,k+1) )
fxy(i,j,k) = Fdxdy*( (fh(i-2,j-2,k)-F8*fh(i-1,j-2,k)+F8*fh(i+1,j-2,k)-fh(i+2,j-2,k)) &
-F8 *(fh(i-2,j-1,k)-F8*fh(i-1,j-1,k)+F8*fh(i+1,j-1,k)-fh(i+2,j-1,k)) &
+F8 *(fh(i-2,j+1,k)-F8*fh(i-1,j+1,k)+F8*fh(i+1,j+1,k)-fh(i+2,j+1,k)) &
- (fh(i-2,j+2,k)-F8*fh(i-1,j+2,k)+F8*fh(i+1,j+2,k)-fh(i+2,j+2,k)))
fxz(i,j,k) = Fdxdz*( (fh(i-2,j,k-2)-F8*fh(i-1,j,k-2)+F8*fh(i+1,j,k-2)-fh(i+2,j,k-2)) &
-F8 *(fh(i-2,j,k-1)-F8*fh(i-1,j,k-1)+F8*fh(i+1,j,k-1)-fh(i+2,j,k-1)) &
+F8 *(fh(i-2,j,k+1)-F8*fh(i-1,j,k+1)+F8*fh(i+1,j,k+1)-fh(i+2,j,k+1)) &
- (fh(i-2,j,k+2)-F8*fh(i-1,j,k+2)+F8*fh(i+1,j,k+2)-fh(i+2,j,k+2)))
fyz(i,j,k) = Fdydz*( (fh(i,j-2,k-2)-F8*fh(i,j-1,k-2)+F8*fh(i,j+1,k-2)-fh(i,j+2,k-2)) &
-F8 *(fh(i,j-2,k-1)-F8*fh(i,j-1,k-1)+F8*fh(i,j+1,k-1)-fh(i,j+2,k-1)) &
+F8 *(fh(i,j-2,k+1)-F8*fh(i,j-1,k+1)+F8*fh(i,j+1,k+1)-fh(i,j+2,k+1)) &
- (fh(i,j-2,k+2)-F8*fh(i,j-1,k+2)+F8*fh(i,j+1,k+2)-fh(i,j+2,k+2)))
enddo
enddo
enddo
endif
do k=1,ex(3)
do j=1,ex(2)
do i=1,ex(1)
if(i>=i_core_min .and. i<=i_core_max .and. &
j>=j_core_min .and. j<=j_core_max .and. &
k>=k_core_min .and. k<=k_core_max) cycle
!~~~~~~ fxx
if(i+2 <= imax .and. i-2 >= imin)then
!
! - f(i-2) + 16 f(i-1) - 30 f(i) + 16 f(i+1) - f(i+2)
! fxx(i) = ----------------------------------------------------------
! 12 dx^2
+412
View File
@@ -0,0 +1,412 @@
#ifndef AMSS_NCKU_FD_CUDA_HELPERS_CUH
#define AMSS_NCKU_FD_CUDA_HELPERS_CUH
#ifndef ghost_width
#error "ghost_width must be defined before including fd_cuda_helpers.cuh"
#endif
#if ghost_width < 2 || ghost_width > 5
#error "CUDA finite-difference helpers support ghost_width 2..5"
#endif
#define AMSS_FD_CENTER_RADIUS (ghost_width - 1)
#define AMSS_FD_LK_RADIUS (ghost_width)
__device__ __forceinline__ int fd_axis_radius(int qF, int qminF, int qmaxF)
{
#if AMSS_FD_CENTER_RADIUS >= 4
if (qF - 4 >= qminF && qF + 4 <= qmaxF) return 4;
#endif
#if AMSS_FD_CENTER_RADIUS >= 3
if (qF - 3 >= qminF && qF + 3 <= qmaxF) return 3;
#endif
#if AMSS_FD_CENTER_RADIUS >= 2
if (qF - 2 >= qminF && qF + 2 <= qmaxF) return 2;
#endif
if (qF - 1 >= qminF && qF + 1 <= qmaxF) return 1;
return 0;
}
__device__ __forceinline__ int fd_common_radius(int iF, int jF, int kF,
int iminF, int jminF, int kminF,
int imaxF, int jmaxF, int kmaxF)
{
int r = fd_axis_radius(iF, iminF, imaxF);
const int ry = fd_axis_radius(jF, jminF, jmaxF);
const int rz = fd_axis_radius(kF, kminF, kmaxF);
if (ry < r) r = ry;
if (rz < r) r = rz;
return r;
}
__device__ __forceinline__ double fd_first_coef(int r, int off)
{
switch (r) {
case 1:
if (off == -1) return -1.0;
if (off == 1) return 1.0;
return 0.0;
case 2:
if (off == -2) return 1.0;
if (off == -1) return -8.0;
if (off == 1) return 8.0;
if (off == 2) return -1.0;
return 0.0;
case 3:
if (off == -3) return -1.0;
if (off == -2) return 9.0;
if (off == -1) return -45.0;
if (off == 1) return 45.0;
if (off == 2) return -9.0;
if (off == 3) return 1.0;
return 0.0;
case 4:
if (off == -4) return 3.0;
if (off == -3) return -32.0;
if (off == -2) return 168.0;
if (off == -1) return -672.0;
if (off == 1) return 672.0;
if (off == 2) return -168.0;
if (off == 3) return 32.0;
if (off == 4) return -3.0;
return 0.0;
default:
return 0.0;
}
}
__device__ __forceinline__ double fd_second_coef(int r, int off)
{
switch (r) {
case 1:
if (off == -1) return 1.0;
if (off == 0) return -2.0;
if (off == 1) return 1.0;
return 0.0;
case 2:
if (off == -2) return -1.0;
if (off == -1) return 16.0;
if (off == 0) return -30.0;
if (off == 1) return 16.0;
if (off == 2) return -1.0;
return 0.0;
case 3:
if (off == -3) return 2.0;
if (off == -2) return -27.0;
if (off == -1) return 270.0;
if (off == 0) return -490.0;
if (off == 1) return 270.0;
if (off == 2) return -27.0;
if (off == 3) return 2.0;
return 0.0;
case 4:
if (off == -4) return -9.0;
if (off == -3) return 128.0;
if (off == -2) return -1008.0;
if (off == -1) return 8064.0;
if (off == 0) return -14350.0;
if (off == 1) return 8064.0;
if (off == 2) return -1008.0;
if (off == 3) return 128.0;
if (off == 4) return -9.0;
return 0.0;
default:
return 0.0;
}
}
__device__ __forceinline__ double fd_first_denom(int r)
{
return (r == 4) ? 840.0 : ((r == 3) ? 60.0 : ((r == 2) ? 12.0 : 2.0));
}
__device__ __forceinline__ double fd_second_denom(int r)
{
return (r == 4) ? 5040.0 : ((r == 3) ? 180.0 : ((r == 2) ? 12.0 : 1.0));
}
__device__ __forceinline__ double fd_fetch_axis(const double *src,
int iF, int jF, int kF,
int axis, int off,
int SoA0, int SoA1, int SoA2)
{
if (axis == 0) iF += off;
else if (axis == 1) jF += off;
else kF += off;
return fetch_sym_ord2_direct(src, iF, jF, kF, SoA0, SoA1, SoA2);
}
__device__ __forceinline__ double fd_fetch_axis2(const double *src,
int iF, int jF, int kF,
int axis_a, int off_a,
int axis_b, int off_b,
int SoA0, int SoA1, int SoA2)
{
if (axis_a == 0) iF += off_a;
else if (axis_a == 1) jF += off_a;
else kF += off_a;
if (axis_b == 0) iF += off_b;
else if (axis_b == 1) jF += off_b;
else kF += off_b;
return fetch_sym_ord2_direct(src, iF, jF, kF, SoA0, SoA1, SoA2);
}
__device__ __forceinline__ double fd_first_axis_radius(const double *src,
int iF, int jF, int kF,
int axis, int r, double h,
int SoA0, int SoA1, int SoA2)
{
if (r <= 0) return 0.0;
double s = 0.0;
#pragma unroll
for (int off = -4; off <= 4; ++off) {
const double c = fd_first_coef(r, off);
if (c != 0.0) {
s += c * fd_fetch_axis(src, iF, jF, kF, axis, off, SoA0, SoA1, SoA2);
}
}
return s / (fd_first_denom(r) * h);
}
__device__ __forceinline__ double fd_second_axis_radius(const double *src,
int iF, int jF, int kF,
int axis, int r, double h,
int SoA0, int SoA1, int SoA2)
{
if (r <= 0) return 0.0;
double s = 0.0;
#pragma unroll
for (int off = -4; off <= 4; ++off) {
const double c = fd_second_coef(r, off);
if (c != 0.0) {
s += c * fd_fetch_axis(src, iF, jF, kF, axis, off, SoA0, SoA1, SoA2);
}
}
return s / (fd_second_denom(r) * h * h);
}
__device__ __forceinline__ double fd_mixed_axis_radius(const double *src,
int iF, int jF, int kF,
int axis_a, int r_a, double h_a,
int axis_b, int r_b, double h_b,
int SoA0, int SoA1, int SoA2)
{
if (r_a <= 0 || r_b <= 0) return 0.0;
double s = 0.0;
#pragma unroll
for (int off_a = -4; off_a <= 4; ++off_a) {
const double ca = fd_first_coef(r_a, off_a);
if (ca == 0.0) continue;
#pragma unroll
for (int off_b = -4; off_b <= 4; ++off_b) {
const double cb = fd_first_coef(r_b, off_b);
if (cb != 0.0) {
s += ca * cb * fd_fetch_axis2(src, iF, jF, kF, axis_a, off_a,
axis_b, off_b, SoA0, SoA1, SoA2);
}
}
}
return s / (fd_first_denom(r_a) * fd_first_denom(r_b) * h_a * h_b);
}
__device__ __forceinline__ void fd_compute_first3(const double *src,
int iF, int jF, int kF,
int iminF, int jminF, int kminF,
int imaxF, int jmaxF, int kmaxF,
int SoA0, int SoA1, int SoA2,
double &fx, double &fy, double &fz)
{
#if ghost_width == 3
const int r = fd_common_radius(iF, jF, kF, iminF, jminF, kminF, imaxF, jmaxF, kmaxF);
fx = fd_first_axis_radius(src, iF, jF, kF, 0, r, d_gp.dX, SoA0, SoA1, SoA2);
fy = fd_first_axis_radius(src, iF, jF, kF, 1, r, d_gp.dY, SoA0, SoA1, SoA2);
fz = fd_first_axis_radius(src, iF, jF, kF, 2, r, d_gp.dZ, SoA0, SoA1, SoA2);
#else
fx = fd_first_axis_radius(src, iF, jF, kF, 0, fd_axis_radius(iF, iminF, imaxF),
d_gp.dX, SoA0, SoA1, SoA2);
fy = fd_first_axis_radius(src, iF, jF, kF, 1, fd_axis_radius(jF, jminF, jmaxF),
d_gp.dY, SoA0, SoA1, SoA2);
fz = fd_first_axis_radius(src, iF, jF, kF, 2, fd_axis_radius(kF, kminF, kmaxF),
d_gp.dZ, SoA0, SoA1, SoA2);
#endif
}
__device__ __forceinline__ void fd_compute_second6(const double *src,
int iF, int jF, int kF,
int iminF, int jminF, int kminF,
int imaxF, int jmaxF, int kmaxF,
int SoA0, int SoA1, int SoA2,
double &fxx, double &fxy, double &fxz,
double &fyy, double &fyz, double &fzz)
{
#if ghost_width == 3
const int r = fd_common_radius(iF, jF, kF, iminF, jminF, kminF, imaxF, jmaxF, kmaxF);
const int rx = r, ry = r, rz = r;
#else
const int rx = fd_axis_radius(iF, iminF, imaxF);
const int ry = fd_axis_radius(jF, jminF, jmaxF);
const int rz = fd_axis_radius(kF, kminF, kmaxF);
#endif
fxx = fd_second_axis_radius(src, iF, jF, kF, 0, rx, d_gp.dX, SoA0, SoA1, SoA2);
fyy = fd_second_axis_radius(src, iF, jF, kF, 1, ry, d_gp.dY, SoA0, SoA1, SoA2);
fzz = fd_second_axis_radius(src, iF, jF, kF, 2, rz, d_gp.dZ, SoA0, SoA1, SoA2);
fxy = fd_mixed_axis_radius(src, iF, jF, kF, 0, rx, d_gp.dX, 1, ry, d_gp.dY, SoA0, SoA1, SoA2);
fxz = fd_mixed_axis_radius(src, iF, jF, kF, 0, rx, d_gp.dX, 2, rz, d_gp.dZ, SoA0, SoA1, SoA2);
fyz = fd_mixed_axis_radius(src, iF, jF, kF, 1, ry, d_gp.dY, 2, rz, d_gp.dZ, SoA0, SoA1, SoA2);
}
__device__ __forceinline__ bool fd_lop_fits(int qF, int qminF, int qmaxF,
int dir, int lo, int hi)
{
for (int off = lo; off <= hi; ++off) {
const int q = qF + dir * off;
if (q < qminF || q > qmaxF) return false;
}
return true;
}
__device__ __forceinline__ double fd_lop_fetch_sum(const double *src,
int iF, int jF, int kF,
int axis, int dir,
const double *coef,
int lo, int hi,
int SoA0, int SoA1, int SoA2)
{
double s = 0.0;
for (int off = lo; off <= hi; ++off) {
const double c = coef[off - lo];
if (c != 0.0) {
s += c * fd_fetch_axis(src, iF, jF, kF, axis, dir * off, SoA0, SoA1, SoA2);
}
}
return s;
}
__device__ __forceinline__ double fd_lopsided_axis(const double *src,
int iF, int jF, int kF,
int axis, double speed,
int qF, int qminF, int qmaxF,
double h,
int SoA0, int SoA1, int SoA2)
{
if (speed == 0.0) return 0.0;
const int dir = (speed > 0.0) ? 1 : -1;
const double mag = (speed > 0.0) ? speed : -speed;
#if ghost_width == 2
if (fd_lop_fits(qF, qminF, qmaxF, dir, 0, 2)) {
const double c[] = {-3.0, 4.0, -1.0};
return mag * fd_lop_fetch_sum(src, iF, jF, kF, axis, dir, c, 0, 2, SoA0, SoA1, SoA2) / (2.0 * h);
}
if (fd_lop_fits(qF, qminF, qmaxF, dir, 0, 1)) {
const double c[] = {-1.0, 1.0};
return mag * fd_lop_fetch_sum(src, iF, jF, kF, axis, dir, c, 0, 1, SoA0, SoA1, SoA2) / (2.0 * h);
}
return 0.0;
#elif ghost_width == 3
if (fd_lop_fits(qF, qminF, qmaxF, dir, -1, 3)) {
const double c[] = {-3.0, -10.0, 18.0, -6.0, 1.0};
return mag * fd_lop_fetch_sum(src, iF, jF, kF, axis, dir, c, -1, 3, SoA0, SoA1, SoA2) / (12.0 * h);
}
const int r = fd_axis_radius(qF, qminF, qmaxF);
return speed * fd_first_axis_radius(src, iF, jF, kF, axis, r, h, SoA0, SoA1, SoA2);
#elif ghost_width == 4
if (fd_lop_fits(qF, qminF, qmaxF, dir, -2, 4)) {
const double c[] = {2.0, -24.0, -35.0, 80.0, -30.0, 8.0, -1.0};
return mag * fd_lop_fetch_sum(src, iF, jF, kF, axis, dir, c, -2, 4, SoA0, SoA1, SoA2) / (60.0 * h);
}
if (fd_lop_fits(qF, qminF, qmaxF, dir, -1, 5)) {
const double c[] = {-10.0, -77.0, 150.0, -100.0, 50.0, -15.0, 2.0};
return mag * fd_lop_fetch_sum(src, iF, jF, kF, axis, dir, c, -1, 5, SoA0, SoA1, SoA2) / (60.0 * h);
}
const int r = fd_axis_radius(qF, qminF, qmaxF);
return speed * fd_first_axis_radius(src, iF, jF, kF, axis, r, h, SoA0, SoA1, SoA2);
#else
if (fd_lop_fits(qF, qminF, qmaxF, dir, -3, 5)) {
const double c[] = {-5.0, 60.0, -420.0, -378.0, 1050.0, -420.0, 140.0, -30.0, 3.0};
return mag * fd_lop_fetch_sum(src, iF, jF, kF, axis, dir, c, -3, 5, SoA0, SoA1, SoA2) / (840.0 * h);
}
const int r = fd_axis_radius(qF, qminF, qmaxF);
return speed * fd_first_axis_radius(src, iF, jF, kF, axis, r, h, SoA0, SoA1, SoA2);
#endif
}
__device__ __forceinline__ double fd_ko_coef(int r, int off)
{
const int a = off < 0 ? -off : off;
if (r == 2) {
if (a == 0) return 6.0;
if (a == 1) return -4.0;
if (a == 2) return 1.0;
} else if (r == 3) {
if (a == 0) return -20.0;
if (a == 1) return 15.0;
if (a == 2) return -6.0;
if (a == 3) return 1.0;
} else if (r == 4) {
if (a == 0) return 70.0;
if (a == 1) return -56.0;
if (a == 2) return 28.0;
if (a == 3) return -8.0;
if (a == 4) return 1.0;
} else if (r == 5) {
if (a == 0) return -252.0;
if (a == 1) return 210.0;
if (a == 2) return -120.0;
if (a == 3) return 45.0;
if (a == 4) return -10.0;
if (a == 5) return 1.0;
}
return 0.0;
}
__device__ __forceinline__ double fd_ko_axis(const double *src,
int iF, int jF, int kF,
int axis, int r,
int SoA0, int SoA1, int SoA2)
{
double s = 0.0;
#pragma unroll
for (int off = -5; off <= 5; ++off) {
if (off < -r || off > r) continue;
const double c = fd_ko_coef(r, off);
if (c != 0.0) {
s += c * fd_fetch_axis(src, iF, jF, kF, axis, off, SoA0, SoA1, SoA2);
}
}
return s;
}
__device__ __forceinline__ double fd_ko_term(const double *src,
int iF, int jF, int kF,
int iminF, int jminF, int kminF,
int imaxF, int jmaxF, int kmaxF,
double eps_val,
int SoA0, int SoA1, int SoA2)
{
const int r = AMSS_FD_LK_RADIUS;
if (eps_val <= 0.0) return 0.0;
#if ghost_width >= 4
if (iF - r <= iminF || iF + r >= imaxF ||
jF - r <= jminF || jF + r >= jmaxF ||
kF - r <= kminF || kF + r >= kmaxF) {
return 0.0;
}
#else
if (iF - r < iminF || iF + r > imaxF ||
jF - r < jminF || jF + r > jmaxF ||
kF - r < kminF || kF + r > kmaxF) {
return 0.0;
}
#endif
double cof = 1.0;
#pragma unroll
for (int n = 0; n < 2 * r; ++n) cof *= 2.0;
const double sign = (r & 1) ? 1.0 : -1.0;
const double dx = fd_ko_axis(src, iF, jF, kF, 0, r, SoA0, SoA1, SoA2);
const double dy = fd_ko_axis(src, iF, jF, kF, 1, r, SoA0, SoA1, SoA2);
const double dz = fd_ko_axis(src, iF, jF, kF, 2, r, SoA0, SoA1, SoA2);
return sign * eps_val * (dx / d_gp.dX + dy / d_gp.dY + dz / d_gp.dZ) / cof;
}
#endif
+206 -142
View File
@@ -71,149 +71,99 @@ void fdderivs(const int ex[3],
const double Fdxdz = F1o144 / (dX * dZ);
const double Fdydz = F1o144 / (dY * dZ);
/* 输出清零:fxx,fyy,fzz,fxy,fxz,fyz = 0 */
const size_t all = (size_t)ex1 * (size_t)ex2 * (size_t)ex3;
for (size_t p = 0; p < all; ++p) {
fxx[p] = ZEO; fyy[p] = ZEO; fzz[p] = ZEO;
fxy[p] = ZEO; fxz[p] = ZEO; fyz[p] = ZEO;
/* 只清零不被主循环覆盖的边界面 */
{
/* 高边界:k0=ex3-1 */
for (int j0 = 0; j0 < ex2; ++j0)
for (int i0 = 0; i0 < ex1; ++i0) {
const size_t p = idx_ex(i0, j0, ex3 - 1, ex);
fxx[p]=ZEO; fyy[p]=ZEO; fzz[p]=ZEO;
fxy[p]=ZEO; fxz[p]=ZEO; fyz[p]=ZEO;
}
/* 高边界:j0=ex2-1 */
for (int k0 = 0; k0 < ex3 - 1; ++k0)
for (int i0 = 0; i0 < ex1; ++i0) {
const size_t p = idx_ex(i0, ex2 - 1, k0, ex);
fxx[p]=ZEO; fyy[p]=ZEO; fzz[p]=ZEO;
fxy[p]=ZEO; fxz[p]=ZEO; fyz[p]=ZEO;
}
/* 高边界:i0=ex1-1 */
for (int k0 = 0; k0 < ex3 - 1; ++k0)
for (int j0 = 0; j0 < ex2 - 1; ++j0) {
const size_t p = idx_ex(ex1 - 1, j0, k0, ex);
fxx[p]=ZEO; fyy[p]=ZEO; fzz[p]=ZEO;
fxy[p]=ZEO; fxz[p]=ZEO; fyz[p]=ZEO;
}
/* 低边界:当二阶模板也不可用时,对应 i0/j0/k0=0 面 */
if (kminF == 1) {
for (int j0 = 0; j0 < ex2; ++j0)
for (int i0 = 0; i0 < ex1; ++i0) {
const size_t p = idx_ex(i0, j0, 0, ex);
fxx[p]=ZEO; fyy[p]=ZEO; fzz[p]=ZEO;
fxy[p]=ZEO; fxz[p]=ZEO; fyz[p]=ZEO;
}
}
if (jminF == 1) {
for (int k0 = 0; k0 < ex3; ++k0)
for (int i0 = 0; i0 < ex1; ++i0) {
const size_t p = idx_ex(i0, 0, k0, ex);
fxx[p]=ZEO; fyy[p]=ZEO; fzz[p]=ZEO;
fxy[p]=ZEO; fxz[p]=ZEO; fyz[p]=ZEO;
}
}
if (iminF == 1) {
for (int k0 = 0; k0 < ex3; ++k0)
for (int j0 = 0; j0 < ex2; ++j0) {
const size_t p = idx_ex(0, j0, k0, ex);
fxx[p]=ZEO; fyy[p]=ZEO; fzz[p]=ZEO;
fxy[p]=ZEO; fxz[p]=ZEO; fyz[p]=ZEO;
}
}
}
/*
* Fortran:
* do k=1,ex3-1
* do j=1,ex2-1
* do i=1,ex1-1
*
* 1)
* 2)
*/
for (int k0 = 0; k0 <= ex3 - 2; ++k0) {
const int kF = k0 + 1;
for (int j0 = 0; j0 <= ex2 - 2; ++j0) {
const int jF = j0 + 1;
for (int i0 = 0; i0 <= ex1 - 2; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
const int i2_lo = (iminF > 0) ? iminF : 0;
const int j2_lo = (jminF > 0) ? jminF : 0;
const int k2_lo = (kminF > 0) ? kminF : 0;
const int i2_hi = ex1 - 2;
const int j2_hi = ex2 - 2;
const int k2_hi = ex3 - 2;
/* 高阶分支:i±2,j±2,k±2 都在范围内 */
if ((iF + 2) <= imaxF && (iF - 2) >= iminF &&
(jF + 2) <= jmaxF && (jF - 2) >= jminF &&
(kF + 2) <= kmaxF && (kF - 2) >= kminF)
{
fxx[p] = Fdxdx * (
-fh[idx_fh_F_ord2(iF - 2, jF, kF, ex)] +
F16 * fh[idx_fh_F_ord2(iF - 1, jF, kF, ex)] -
F30 * fh[idx_fh_F_ord2(iF, jF, kF, ex)] -
fh[idx_fh_F_ord2(iF + 2, jF, kF, ex)] +
F16 * fh[idx_fh_F_ord2(iF + 1, jF, kF, ex)]
);
const int i4_lo = (iminF + 1 > 0) ? (iminF + 1) : 0;
const int j4_lo = (jminF + 1 > 0) ? (jminF + 1) : 0;
const int k4_lo = (kminF + 1 > 0) ? (kminF + 1) : 0;
const int i4_hi = ex1 - 3;
const int j4_hi = ex2 - 3;
const int k4_hi = ex3 - 3;
fyy[p] = Fdydy * (
-fh[idx_fh_F_ord2(iF, jF - 2, kF, ex)] +
F16 * fh[idx_fh_F_ord2(iF, jF - 1, kF, ex)] -
F30 * fh[idx_fh_F_ord2(iF, jF, kF, ex)] -
fh[idx_fh_F_ord2(iF, jF + 2, kF, ex)] +
F16 * fh[idx_fh_F_ord2(iF, jF + 1, kF, ex)]
);
/*
* Strategy A:
* Avoid redundant work in overlap of 2nd/4th-order regions.
* Only compute 2nd-order on shell points that are NOT overwritten by
* the 4th-order pass.
*/
const int has4 = (i4_lo <= i4_hi && j4_lo <= j4_hi && k4_lo <= k4_hi);
fzz[p] = Fdzdz * (
-fh[idx_fh_F_ord2(iF, jF, kF - 2, ex)] +
F16 * fh[idx_fh_F_ord2(iF, jF, kF - 1, ex)] -
F30 * fh[idx_fh_F_ord2(iF, jF, kF, ex)] -
fh[idx_fh_F_ord2(iF, jF, kF + 2, ex)] +
F16 * fh[idx_fh_F_ord2(iF, jF, kF + 1, ex)]
);
/* fxy 高阶:完全照搬 Fortran 的括号结构 */
{
const double t_jm2 =
( fh[idx_fh_F_ord2(iF - 2, jF - 2, kF, ex)]
-F8*fh[idx_fh_F_ord2(iF - 1, jF - 2, kF, ex)]
+F8*fh[idx_fh_F_ord2(iF + 1, jF - 2, kF, ex)]
- fh[idx_fh_F_ord2(iF + 2, jF - 2, kF, ex)] );
const double t_jm1 =
( fh[idx_fh_F_ord2(iF - 2, jF - 1, kF, ex)]
-F8*fh[idx_fh_F_ord2(iF - 1, jF - 1, kF, ex)]
+F8*fh[idx_fh_F_ord2(iF + 1, jF - 1, kF, ex)]
- fh[idx_fh_F_ord2(iF + 2, jF - 1, kF, ex)] );
const double t_jp1 =
( fh[idx_fh_F_ord2(iF - 2, jF + 1, kF, ex)]
-F8*fh[idx_fh_F_ord2(iF - 1, jF + 1, kF, ex)]
+F8*fh[idx_fh_F_ord2(iF + 1, jF + 1, kF, ex)]
- fh[idx_fh_F_ord2(iF + 2, jF + 1, kF, ex)] );
const double t_jp2 =
( fh[idx_fh_F_ord2(iF - 2, jF + 2, kF, ex)]
-F8*fh[idx_fh_F_ord2(iF - 1, jF + 2, kF, ex)]
+F8*fh[idx_fh_F_ord2(iF + 1, jF + 2, kF, ex)]
- fh[idx_fh_F_ord2(iF + 2, jF + 2, kF, ex)] );
fxy[p] = Fdxdy * ( t_jm2 - F8 * t_jm1 + F8 * t_jp1 - t_jp2 );
if (i2_lo <= i2_hi && j2_lo <= j2_hi && k2_lo <= k2_hi) {
for (int k0 = k2_lo; k0 <= k2_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j2_lo; j0 <= j2_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i2_lo; i0 <= i2_hi; ++i0) {
if (has4 &&
i0 >= i4_lo && i0 <= i4_hi &&
j0 >= j4_lo && j0 <= j4_hi &&
k0 >= k4_lo && k0 <= k4_hi) {
continue;
}
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
/* fxz 高阶 */
{
const double t_km2 =
( fh[idx_fh_F_ord2(iF - 2, jF, kF - 2, ex)]
-F8*fh[idx_fh_F_ord2(iF - 1, jF, kF - 2, ex)]
+F8*fh[idx_fh_F_ord2(iF + 1, jF, kF - 2, ex)]
- fh[idx_fh_F_ord2(iF + 2, jF, kF - 2, ex)] );
const double t_km1 =
( fh[idx_fh_F_ord2(iF - 2, jF, kF - 1, ex)]
-F8*fh[idx_fh_F_ord2(iF - 1, jF, kF - 1, ex)]
+F8*fh[idx_fh_F_ord2(iF + 1, jF, kF - 1, ex)]
- fh[idx_fh_F_ord2(iF + 2, jF, kF - 1, ex)] );
const double t_kp1 =
( fh[idx_fh_F_ord2(iF - 2, jF, kF + 1, ex)]
-F8*fh[idx_fh_F_ord2(iF - 1, jF, kF + 1, ex)]
+F8*fh[idx_fh_F_ord2(iF + 1, jF, kF + 1, ex)]
- fh[idx_fh_F_ord2(iF + 2, jF, kF + 1, ex)] );
const double t_kp2 =
( fh[idx_fh_F_ord2(iF - 2, jF, kF + 2, ex)]
-F8*fh[idx_fh_F_ord2(iF - 1, jF, kF + 2, ex)]
+F8*fh[idx_fh_F_ord2(iF + 1, jF, kF + 2, ex)]
- fh[idx_fh_F_ord2(iF + 2, jF, kF + 2, ex)] );
fxz[p] = Fdxdz * ( t_km2 - F8 * t_km1 + F8 * t_kp1 - t_kp2 );
}
/* fyz 高阶 */
{
const double t_km2 =
( fh[idx_fh_F_ord2(iF, jF - 2, kF - 2, ex)]
-F8*fh[idx_fh_F_ord2(iF, jF - 1, kF - 2, ex)]
+F8*fh[idx_fh_F_ord2(iF, jF + 1, kF - 2, ex)]
- fh[idx_fh_F_ord2(iF, jF + 2, kF - 2, ex)] );
const double t_km1 =
( fh[idx_fh_F_ord2(iF, jF - 2, kF - 1, ex)]
-F8*fh[idx_fh_F_ord2(iF, jF - 1, kF - 1, ex)]
+F8*fh[idx_fh_F_ord2(iF, jF + 1, kF - 1, ex)]
- fh[idx_fh_F_ord2(iF, jF + 2, kF - 1, ex)] );
const double t_kp1 =
( fh[idx_fh_F_ord2(iF, jF - 2, kF + 1, ex)]
-F8*fh[idx_fh_F_ord2(iF, jF - 1, kF + 1, ex)]
+F8*fh[idx_fh_F_ord2(iF, jF + 1, kF + 1, ex)]
- fh[idx_fh_F_ord2(iF, jF + 2, kF + 1, ex)] );
const double t_kp2 =
( fh[idx_fh_F_ord2(iF, jF - 2, kF + 2, ex)]
-F8*fh[idx_fh_F_ord2(iF, jF - 1, kF + 2, ex)]
+F8*fh[idx_fh_F_ord2(iF, jF + 1, kF + 2, ex)]
- fh[idx_fh_F_ord2(iF, jF + 2, kF + 2, ex)] );
fyz[p] = Fdydz * ( t_km2 - F8 * t_km1 + F8 * t_kp1 - t_kp2 );
}
}
/* 二阶分支:i±1,j±1,k±1 在范围内 */
else if ((iF + 1) <= imaxF && (iF - 1) >= iminF &&
(jF + 1) <= jmaxF && (jF - 1) >= jminF &&
(kF + 1) <= kmaxF && (kF - 1) >= kminF)
{
fxx[p] = Sdxdx * (
fh[idx_fh_F_ord2(iF - 1, jF, kF, ex)] -
TWO * fh[idx_fh_F_ord2(iF, jF, kF, ex)] +
@@ -252,17 +202,131 @@ void fdderivs(const int ex[3],
fh[idx_fh_F_ord2(iF, jF - 1, kF + 1, ex)] +
fh[idx_fh_F_ord2(iF, jF + 1, kF + 1, ex)]
);
}else{
fxx[p] = 0.0;
fyy[p] = 0.0;
fzz[p] = 0.0;
fxy[p] = 0.0;
fxz[p] = 0.0;
fyz[p] = 0.0;
}
}
}
}
if (has4) {
for (int k0 = k4_lo; k0 <= k4_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j4_lo; j0 <= j4_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i4_lo; i0 <= i4_hi; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
fxx[p] = Fdxdx * (
-fh[idx_fh_F_ord2(iF - 2, jF, kF, ex)] +
F16 * fh[idx_fh_F_ord2(iF - 1, jF, kF, ex)] -
F30 * fh[idx_fh_F_ord2(iF, jF, kF, ex)] -
fh[idx_fh_F_ord2(iF + 2, jF, kF, ex)] +
F16 * fh[idx_fh_F_ord2(iF + 1, jF, kF, ex)]
);
fyy[p] = Fdydy * (
-fh[idx_fh_F_ord2(iF, jF - 2, kF, ex)] +
F16 * fh[idx_fh_F_ord2(iF, jF - 1, kF, ex)] -
F30 * fh[idx_fh_F_ord2(iF, jF, kF, ex)] -
fh[idx_fh_F_ord2(iF, jF + 2, kF, ex)] +
F16 * fh[idx_fh_F_ord2(iF, jF + 1, kF, ex)]
);
fzz[p] = Fdzdz * (
-fh[idx_fh_F_ord2(iF, jF, kF - 2, ex)] +
F16 * fh[idx_fh_F_ord2(iF, jF, kF - 1, ex)] -
F30 * fh[idx_fh_F_ord2(iF, jF, kF, ex)] -
fh[idx_fh_F_ord2(iF, jF, kF + 2, ex)] +
F16 * fh[idx_fh_F_ord2(iF, jF, kF + 1, ex)]
);
{
const double t_jm2 =
( fh[idx_fh_F_ord2(iF - 2, jF - 2, kF, ex)]
-F8*fh[idx_fh_F_ord2(iF - 1, jF - 2, kF, ex)]
+F8*fh[idx_fh_F_ord2(iF + 1, jF - 2, kF, ex)]
- fh[idx_fh_F_ord2(iF + 2, jF - 2, kF, ex)] );
const double t_jm1 =
( fh[idx_fh_F_ord2(iF - 2, jF - 1, kF, ex)]
-F8*fh[idx_fh_F_ord2(iF - 1, jF - 1, kF, ex)]
+F8*fh[idx_fh_F_ord2(iF + 1, jF - 1, kF, ex)]
- fh[idx_fh_F_ord2(iF + 2, jF - 1, kF, ex)] );
const double t_jp1 =
( fh[idx_fh_F_ord2(iF - 2, jF + 1, kF, ex)]
-F8*fh[idx_fh_F_ord2(iF - 1, jF + 1, kF, ex)]
+F8*fh[idx_fh_F_ord2(iF + 1, jF + 1, kF, ex)]
- fh[idx_fh_F_ord2(iF + 2, jF + 1, kF, ex)] );
const double t_jp2 =
( fh[idx_fh_F_ord2(iF - 2, jF + 2, kF, ex)]
-F8*fh[idx_fh_F_ord2(iF - 1, jF + 2, kF, ex)]
+F8*fh[idx_fh_F_ord2(iF + 1, jF + 2, kF, ex)]
- fh[idx_fh_F_ord2(iF + 2, jF + 2, kF, ex)] );
fxy[p] = Fdxdy * ( t_jm2 - F8 * t_jm1 + F8 * t_jp1 - t_jp2 );
}
{
const double t_km2 =
( fh[idx_fh_F_ord2(iF - 2, jF, kF - 2, ex)]
-F8*fh[idx_fh_F_ord2(iF - 1, jF, kF - 2, ex)]
+F8*fh[idx_fh_F_ord2(iF + 1, jF, kF - 2, ex)]
- fh[idx_fh_F_ord2(iF + 2, jF, kF - 2, ex)] );
const double t_km1 =
( fh[idx_fh_F_ord2(iF - 2, jF, kF - 1, ex)]
-F8*fh[idx_fh_F_ord2(iF - 1, jF, kF - 1, ex)]
+F8*fh[idx_fh_F_ord2(iF + 1, jF, kF - 1, ex)]
- fh[idx_fh_F_ord2(iF + 2, jF, kF - 1, ex)] );
const double t_kp1 =
( fh[idx_fh_F_ord2(iF - 2, jF, kF + 1, ex)]
-F8*fh[idx_fh_F_ord2(iF - 1, jF, kF + 1, ex)]
+F8*fh[idx_fh_F_ord2(iF + 1, jF, kF + 1, ex)]
- fh[idx_fh_F_ord2(iF + 2, jF, kF + 1, ex)] );
const double t_kp2 =
( fh[idx_fh_F_ord2(iF - 2, jF, kF + 2, ex)]
-F8*fh[idx_fh_F_ord2(iF - 1, jF, kF + 2, ex)]
+F8*fh[idx_fh_F_ord2(iF + 1, jF, kF + 2, ex)]
- fh[idx_fh_F_ord2(iF + 2, jF, kF + 2, ex)] );
fxz[p] = Fdxdz * ( t_km2 - F8 * t_km1 + F8 * t_kp1 - t_kp2 );
}
{
const double t_km2 =
( fh[idx_fh_F_ord2(iF, jF - 2, kF - 2, ex)]
-F8*fh[idx_fh_F_ord2(iF, jF - 1, kF - 2, ex)]
+F8*fh[idx_fh_F_ord2(iF, jF + 1, kF - 2, ex)]
- fh[idx_fh_F_ord2(iF, jF + 2, kF - 2, ex)] );
const double t_km1 =
( fh[idx_fh_F_ord2(iF, jF - 2, kF - 1, ex)]
-F8*fh[idx_fh_F_ord2(iF, jF - 1, kF - 1, ex)]
+F8*fh[idx_fh_F_ord2(iF, jF + 1, kF - 1, ex)]
- fh[idx_fh_F_ord2(iF, jF + 2, kF - 1, ex)] );
const double t_kp1 =
( fh[idx_fh_F_ord2(iF, jF - 2, kF + 1, ex)]
-F8*fh[idx_fh_F_ord2(iF, jF - 1, kF + 1, ex)]
+F8*fh[idx_fh_F_ord2(iF, jF + 1, kF + 1, ex)]
- fh[idx_fh_F_ord2(iF, jF + 2, kF + 1, ex)] );
const double t_kp2 =
( fh[idx_fh_F_ord2(iF, jF - 2, kF + 2, ex)]
-F8*fh[idx_fh_F_ord2(iF, jF - 1, kF + 2, ex)]
+F8*fh[idx_fh_F_ord2(iF, jF + 1, kF + 2, ex)]
- fh[idx_fh_F_ord2(iF, jF + 2, kF + 2, ex)] );
fyz[p] = Fdydz * ( t_km2 - F8 * t_km1 + F8 * t_kp1 - t_kp2 );
}
}
}
}
}
// free(fh);
}
}
+55 -38
View File
@@ -81,26 +81,63 @@ void fderivs(const int ex[3],
}
/*
* Fortran loops:
* do k=1,ex3-1
* do j=1,ex2-1
* do i=1,ex1-1
*
* 1)
* 2)
*
* C: k0=0..ex3-2, j0=0..ex2-2, i0=0..ex1-2
* if/elseif
*/
for (int k0 = 0; k0 <= ex3 - 2; ++k0) {
const int kF = k0 + 1;
for (int j0 = 0; j0 <= ex2 - 2; ++j0) {
const int jF = j0 + 1;
for (int i0 = 0; i0 <= ex1 - 2; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
const int i2_lo = (iminF > 0) ? iminF : 0;
const int j2_lo = (jminF > 0) ? jminF : 0;
const int k2_lo = (kminF > 0) ? kminF : 0;
const int i2_hi = ex1 - 2;
const int j2_hi = ex2 - 2;
const int k2_hi = ex3 - 2;
const int i4_lo = (iminF + 1 > 0) ? (iminF + 1) : 0;
const int j4_lo = (jminF + 1 > 0) ? (jminF + 1) : 0;
const int k4_lo = (kminF + 1 > 0) ? (kminF + 1) : 0;
const int i4_hi = ex1 - 3;
const int j4_hi = ex2 - 3;
const int k4_hi = ex3 - 3;
if (i2_lo <= i2_hi && j2_lo <= j2_hi && k2_lo <= k2_hi) {
for (int k0 = k2_lo; k0 <= k2_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j2_lo; j0 <= j2_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i2_lo; i0 <= i2_hi; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
fx[p] = d2dx * (
-fh[idx_fh_F_ord2(iF - 1, jF, kF, ex)] +
fh[idx_fh_F_ord2(iF + 1, jF, kF, ex)]
);
fy[p] = d2dy * (
-fh[idx_fh_F_ord2(iF, jF - 1, kF, ex)] +
fh[idx_fh_F_ord2(iF, jF + 1, kF, ex)]
);
fz[p] = d2dz * (
-fh[idx_fh_F_ord2(iF, jF, kF - 1, ex)] +
fh[idx_fh_F_ord2(iF, jF, kF + 1, ex)]
);
}
}
}
}
if (i4_lo <= i4_hi && j4_lo <= j4_hi && k4_lo <= k4_hi) {
for (int k0 = k4_lo; k0 <= k4_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j4_lo; j0 <= j4_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i4_lo; i0 <= i4_hi; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
// if(i+2 <= imax .and. i-2 >= imin ... ) (全是 Fortran 索引)
if ((iF + 2) <= imaxF && (iF - 2) >= iminF &&
(jF + 2) <= jmaxF && (jF - 2) >= jminF &&
(kF + 2) <= kmaxF && (kF - 2) >= kminF)
{
fx[p] = d12dx * (
fh[idx_fh_F_ord2(iF - 2, jF, kF, ex)] -
EIT * fh[idx_fh_F_ord2(iF - 1, jF, kF, ex)] +
@@ -122,29 +159,9 @@ void fderivs(const int ex[3],
fh[idx_fh_F_ord2(iF, jF, kF + 2, ex)]
);
}
// elseif(i+1 <= imax .and. i-1 >= imin ...)
else if ((iF + 1) <= imaxF && (iF - 1) >= iminF &&
(jF + 1) <= jmaxF && (jF - 1) >= jminF &&
(kF + 1) <= kmaxF && (kF - 1) >= kminF)
{
fx[p] = d2dx * (
-fh[idx_fh_F_ord2(iF - 1, jF, kF, ex)] +
fh[idx_fh_F_ord2(iF + 1, jF, kF, ex)]
);
fy[p] = d2dy * (
-fh[idx_fh_F_ord2(iF, jF - 1, kF, ex)] +
fh[idx_fh_F_ord2(iF, jF + 1, kF, ex)]
);
fz[p] = d2dz * (
-fh[idx_fh_F_ord2(iF, jF, kF - 1, ex)] +
fh[idx_fh_F_ord2(iF, jF, kF + 1, ex)]
);
}
}
}
}
// free(fh);
}
}
+334 -64
View File
@@ -1111,27 +1111,177 @@ end subroutine d2dump
!~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
!~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
!~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
! common code for cell and vertex
!------------------------------------------------------------------------------
! Lagrangian polynomial interpolation
!------------------------------------------------------------------------------
!DIR$ ATTRIBUTES FORCEINLINE :: polint
subroutine polint(xa, ya, x, y, dy, ordn)
implicit none
integer, intent(in) :: ordn
! common code for cell and vertex
!------------------------------------------------------------------------------
! Lagrangian polynomial interpolation
!------------------------------------------------------------------------------
#ifndef POLINT6_USE_BARYCENTRIC
#define POLINT6_USE_BARYCENTRIC 1
#endif
!DIR$ ATTRIBUTES FORCEINLINE :: polint6_neville
subroutine polint6_neville(xa, ya, x, y, dy)
implicit none
real*8, dimension(6), intent(in) :: xa, ya
real*8, intent(in) :: x
real*8, intent(out) :: y, dy
integer :: i, m, ns, n_m
real*8, dimension(6) :: c, d, ho
real*8 :: dif, dift, hp, h, den_val
c = ya
d = ya
ho = xa - x
ns = 1
dif = abs(x - xa(1))
do i = 2, 6
dift = abs(x - xa(i))
if (dift < dif) then
ns = i
dif = dift
end if
end do
y = ya(ns)
ns = ns - 1
do m = 1, 5
n_m = 6 - m
do i = 1, n_m
hp = ho(i)
h = ho(i+m)
den_val = hp - h
if (den_val == 0.0d0) then
write(*,*) 'failure in polint for point',x
write(*,*) 'with input points: ',xa
stop
end if
den_val = (c(i+1) - d(i)) / den_val
d(i) = h * den_val
c(i) = hp * den_val
end do
if (2 * ns < n_m) then
dy = c(ns + 1)
else
dy = d(ns)
ns = ns - 1
end if
y = y + dy
end do
return
end subroutine polint6_neville
!DIR$ ATTRIBUTES FORCEINLINE :: polint6_barycentric
subroutine polint6_barycentric(xa, ya, x, y, dy)
implicit none
real*8, dimension(6), intent(in) :: xa, ya
real*8, intent(in) :: x
real*8, intent(out) :: y, dy
integer :: i, j
logical :: is_uniform
real*8, dimension(6) :: lambda
real*8 :: dx, den_i, term, num, den, step, tol
real*8, parameter :: c_uniform(6) = (/ -1.d0, 5.d0, -10.d0, 10.d0, -5.d0, 1.d0 /)
do i = 1, 6
if (x == xa(i)) then
y = ya(i)
dy = 0.d0
return
end if
end do
step = xa(2) - xa(1)
is_uniform = (step /= 0.d0)
if (is_uniform) then
tol = 64.d0 * epsilon(1.d0) * max(1.d0, abs(step))
do i = 3, 6
if (abs((xa(i) - xa(i-1)) - step) > tol) then
is_uniform = .false.
exit
end if
end do
end if
if (is_uniform) then
num = 0.d0
den = 0.d0
do i = 1, 6
term = c_uniform(i) / (x - xa(i))
num = num + term * ya(i)
den = den + term
end do
y = num / den
dy = 0.d0
return
end if
do i = 1, 6
den_i = 1.d0
do j = 1, 6
if (j /= i) then
dx = xa(i) - xa(j)
if (dx == 0.0d0) then
write(*,*) 'failure in polint for point',x
write(*,*) 'with input points: ',xa
stop
end if
den_i = den_i * dx
end if
end do
lambda(i) = 1.d0 / den_i
end do
num = 0.d0
den = 0.d0
do i = 1, 6
term = lambda(i) / (x - xa(i))
num = num + term * ya(i)
den = den + term
end do
y = num / den
dy = 0.d0
return
end subroutine polint6_barycentric
!DIR$ ATTRIBUTES FORCEINLINE :: polint
subroutine polint(xa, ya, x, y, dy, ordn)
implicit none
integer, intent(in) :: ordn
real*8, dimension(ordn), intent(in) :: xa, ya
real*8, intent(in) :: x
real*8, intent(out) :: y, dy
integer :: i, m, ns, n_m
real*8, dimension(ordn) :: c, d, ho
real*8 :: dif, dift, hp, h, den_val
c = ya
d = ya
ho = xa - x
integer :: i, m, ns, n_m
real*8, dimension(ordn) :: c, d, ho
real*8 :: dif, dift, hp, h, den_val
if (ordn == 6) then
#if POLINT6_USE_BARYCENTRIC
call polint6_barycentric(xa, ya, x, y, dy)
#else
call polint6_neville(xa, ya, x, y, dy)
#endif
return
end if
c = ya
d = ya
ho = xa - x
ns = 1
dif = abs(x - xa(1))
@@ -1175,13 +1325,48 @@ end subroutine d2dump
y = y + dy
end do
return
end subroutine polint
!------------------------------------------------------------------------------
!
! interpolation in 2 dimensions, follow yx order
!
!------------------------------------------------------------------------------
return
end subroutine polint
!------------------------------------------------------------------------------
! Compute Lagrange interpolation basis weights for one target point.
!------------------------------------------------------------------------------
!DIR$ ATTRIBUTES FORCEINLINE :: polint_lagrange_weights
subroutine polint_lagrange_weights(xa, x, w, ordn)
implicit none
integer, intent(in) :: ordn
real*8, dimension(1:ordn), intent(in) :: xa
real*8, intent(in) :: x
real*8, dimension(1:ordn), intent(out) :: w
integer :: i, j
real*8 :: num, den, dx
do i = 1, ordn
num = 1.d0
den = 1.d0
do j = 1, ordn
if (j /= i) then
dx = xa(i) - xa(j)
if (dx == 0.0d0) then
write(*,*) 'failure in polint for point',x
write(*,*) 'with input points: ',xa
stop
end if
num = num * (x - xa(j))
den = den * dx
end if
end do
w(i) = num / den
end do
return
end subroutine polint_lagrange_weights
!------------------------------------------------------------------------------
!
! interpolation in 2 dimensions, follow yx order
!
!------------------------------------------------------------------------------
subroutine polin2(x1a,x2a,ya,x1,x2,y,dy,ordn)
implicit none
@@ -1229,11 +1414,11 @@ end subroutine d2dump
real*8, intent(in) :: x1,x2,x3
real*8, intent(out) :: y,dy
#ifdef POLINT_LEGACY_ORDER
integer :: i,j,m,n
real*8, dimension(ordn,ordn) :: yatmp
real*8, dimension(ordn) :: ymtmp
real*8, dimension(ordn) :: yntmp
#ifdef POLINT_LEGACY_ORDER
integer :: i,j,m,n
real*8, dimension(ordn,ordn) :: yatmp
real*8, dimension(ordn) :: ymtmp
real*8, dimension(ordn) :: yntmp
real*8, dimension(ordn) :: yqtmp
m=size(x1a)
@@ -1243,29 +1428,36 @@ end subroutine d2dump
yqtmp=ya(i,j,:)
call polint(x3a,yqtmp,x3,yatmp(i,j),dy,ordn)
end do
yntmp=yatmp(i,:)
call polint(x2a,yntmp,x2,ymtmp(i),dy,ordn)
end do
call polint(x1a,ymtmp,x1,y,dy,ordn)
#else
integer :: j, k
real*8, dimension(ordn,ordn) :: yatmp
real*8, dimension(ordn) :: ymtmp
real*8 :: dy_temp
do k=1,ordn
do j=1,ordn
call polint(x1a, ya(:,j,k), x1, yatmp(j,k), dy_temp, ordn)
end do
end do
do k=1,ordn
call polint(x2a, yatmp(:,k), x2, ymtmp(k), dy_temp, ordn)
end do
call polint(x3a, ymtmp, x3, y, dy, ordn)
#endif
return
end subroutine polin3
yntmp=yatmp(i,:)
call polint(x2a,yntmp,x2,ymtmp(i),dy,ordn)
end do
call polint(x1a,ymtmp,x1,y,dy,ordn)
#else
integer :: i, j, k
real*8, dimension(ordn) :: w1, w2
real*8, dimension(ordn) :: ymtmp
real*8 :: yx_sum, x_sum
call polint_lagrange_weights(x1a, x1, w1, ordn)
call polint_lagrange_weights(x2a, x2, w2, ordn)
do k = 1, ordn
yx_sum = 0.d0
do j = 1, ordn
x_sum = 0.d0
do i = 1, ordn
x_sum = x_sum + w1(i) * ya(i,j,k)
end do
yx_sum = yx_sum + w2(j) * x_sum
end do
ymtmp(k) = yx_sum
end do
call polint(x3a, ymtmp, x3, y, dy, ordn)
#endif
return
end subroutine polin3
!--------------------------------------------------------------------------------------
! calculate L2norm
subroutine l2normhelper(ex, X, Y, Z,xmin,ymin,zmin,xmax,ymax,zmax,&
@@ -1319,13 +1511,88 @@ deallocate(f_flat)
f_out = f_out*dX*dY*dZ
return
end subroutine l2normhelper
!--------------------------------------------------------------------------------------
! calculate L2norm especially for shell Blocks
subroutine l2normhelper_sh(ex, X, Y, Z,xmin,ymin,zmin,xmax,ymax,zmax,&
f,f_out,gw,ogw,Symmetry)
return
end subroutine l2normhelper
!--------------------------------------------------------------------------------------
subroutine l2normhelper7(ex, X, Y, Z,xmin,ymin,zmin,xmax,ymax,zmax,&
f1,f2,f3,f4,f5,f6,f7,f_out,gw)
implicit none
!~~~~~~> Input parameters:
integer,intent(in ):: ex(1:3)
real*8, intent(in ):: X(1:ex(1)),Y(1:ex(2)),Z(1:ex(3)),xmin,ymin,zmin,xmax,ymax,zmax
integer,intent(in)::gw
real*8, dimension(ex(1),ex(2),ex(3)),intent(in) :: f1,f2,f3,f4,f5,f6,f7
real*8, intent(out) :: f_out(7)
!~~~~~~> Other variables:
real*8 :: dX, dY, dZ
integer::imin,jmin,kmin
integer::imax,jmax,kmax
integer::i,j,k
real*8 :: s1,s2,s3,s4,s5,s6,s7
dX = X(2) - X(1)
dY = Y(2) - Y(1)
dZ = Z(2) - Z(1)
! for ghost zone
imin = gw+1
jmin = gw+1
kmin = gw+1
imax = ex(1) - gw
jmax = ex(2) - gw
kmax = ex(3) - gw
!for patch boundary (i.e., not ghost boundary)
if(dabs(X(ex(1))-xmax) < dX) imax = ex(1)
if(dabs(Y(ex(2))-ymax) < dY) jmax = ex(2)
if(dabs(Z(ex(3))-zmax) < dZ) kmax = ex(3)
if(dabs(X(1)-xmin) < dX) imin = 1
if(dabs(Y(1)-ymin) < dY) jmin = 1
if(dabs(Z(1)-zmin) < dZ) kmin = 1
s1 = 0.d0
s2 = 0.d0
s3 = 0.d0
s4 = 0.d0
s5 = 0.d0
s6 = 0.d0
s7 = 0.d0
do k=kmin,kmax
do j=jmin,jmax
!DIR$ SIMD REDUCTION(+:s1,s2,s3,s4,s5,s6,s7)
do i=imin,imax
s1 = s1 + f1(i,j,k)*f1(i,j,k)
s2 = s2 + f2(i,j,k)*f2(i,j,k)
s3 = s3 + f3(i,j,k)*f3(i,j,k)
s4 = s4 + f4(i,j,k)*f4(i,j,k)
s5 = s5 + f5(i,j,k)*f5(i,j,k)
s6 = s6 + f6(i,j,k)*f6(i,j,k)
s7 = s7 + f7(i,j,k)*f7(i,j,k)
enddo
enddo
enddo
f_out(1) = s1*dX*dY*dZ
f_out(2) = s2*dX*dY*dZ
f_out(3) = s3*dX*dY*dZ
f_out(4) = s4*dX*dY*dZ
f_out(5) = s5*dX*dY*dZ
f_out(6) = s6*dX*dY*dZ
f_out(7) = s7*dX*dY*dZ
return
end subroutine l2normhelper7
!--------------------------------------------------------------------------------------
! calculate L2norm especially for shell Blocks
subroutine l2normhelper_sh(ex, X, Y, Z,xmin,ymin,zmin,xmax,ymax,zmax,&
f,f_out,gw,ogw,Symmetry)
implicit none
!~~~~~~> Input parameters:
@@ -1608,11 +1875,14 @@ deallocate(f_flat)
! ^
! f=3/8*f_1 + 3/4*f_2 - 1/8*f_3
real*8,parameter::C1=3.d0/8.d0,C2=3.d0/4.d0,C3=-1.d0/8.d0
fout = C1*f1+C2*f2+C3*f3
return
real*8,parameter::C1=3.d0/8.d0,C2=3.d0/4.d0,C3=-1.d0/8.d0
integer :: i,j,k
do concurrent (k=1:ext(3), j=1:ext(2), i=1:ext(1))
fout(i,j,k) = C1*f1(i,j,k)+C2*f2(i,j,k)+C3*f3(i,j,k)
end do
return
end subroutine average2
!-----------------------------------------------------------------------------
+35 -23
View File
@@ -12,9 +12,10 @@
#define f_global_interpind global_interpind
#define f_global_interpind2d global_interpind2d
#define f_global_interpind1d global_interpind1d
#define f_l2normhelper l2normhelper
#define f_l2normhelper_sh l2normhelper_sh
#define f_l2normhelper_sh_rms l2normhelper_sh_rms
#define f_l2normhelper l2normhelper
#define f_l2normhelper7 l2normhelper7
#define f_l2normhelper_sh l2normhelper_sh
#define f_l2normhelper_sh_rms l2normhelper_sh_rms
#define f_average average
#define f_average3 average3
#define f_average2 average2
@@ -41,9 +42,10 @@
#define f_global_interpind GLOBAL_INTERPIND
#define f_global_interpind2d GLOBAL_INTERPIND2D
#define f_global_interpind1d GLOBAL_INTERPIND1D
#define f_l2normhelper L2NORMHELPER
#define f_l2normhelper_sh L2NORMHELPER_SH
#define f_l2normhelper_sh_rms L2NORMHELPER_SH_RMS
#define f_l2normhelper L2NORMHELPER
#define f_l2normhelper7 L2NORMHELPER7
#define f_l2normhelper_sh L2NORMHELPER_SH
#define f_l2normhelper_sh_rms L2NORMHELPER_SH_RMS
#define f_average AVERAGE
#define f_average3 AVERAGE3
#define f_average2 AVERAGE2
@@ -70,9 +72,10 @@
#define f_global_interpind global_interpind_
#define f_global_interpind2d global_interpind2d_
#define f_global_interpind1d global_interpind1d_
#define f_l2normhelper l2normhelper_
#define f_l2normhelper_sh l2normhelper_sh_
#define f_l2normhelper_sh_rms l2normhelper_sh_rms_
#define f_l2normhelper l2normhelper_
#define f_l2normhelper7 l2normhelper7_
#define f_l2normhelper_sh l2normhelper_sh_
#define f_l2normhelper_sh_rms l2normhelper_sh_rms_
#define f_average average_
#define f_average3 average3_
#define f_average2 average2_
@@ -156,20 +159,29 @@ extern "C"
int *, double *, int &, int &);
}
extern "C"
{
void f_l2normhelper(int *, double *, double *, double *,
double &, double &, double &,
double &, double &, double &,
double *, double &, int &);
}
extern "C"
{
void f_l2normhelper_sh(int *, double *, double *, double *,
double &, double &, double &,
double &, double &, double &,
double *, double &, int &, int &, int &);
extern "C"
{
void f_l2normhelper(int *, double *, double *, double *,
double &, double &, double &,
double &, double &, double &,
double *, double &, int &);
}
extern "C"
{
void f_l2normhelper7(int *, double *, double *, double *,
double &, double &, double &,
double &, double &, double &,
double *, double *, double *, double *,
double *, double *, double *, double *, int &);
}
extern "C"
{
void f_l2normhelper_sh(int *, double *, double *, double *,
double &, double &, double &,
double &, double &, double &,
double *, double &, int &, int &, int &);
}
extern "C"
+5 -1
View File
@@ -1,6 +1,6 @@
#ifndef GPU_MEM_H_
#define GPU_MEM_H_
#include "macrodef.fh"
#include "macrodef.h"
#ifdef WithShell
struct Metass
@@ -48,6 +48,8 @@ struct Meta
double * Gamx_rhs,*Gamy_rhs,*Gamz_rhs;//out
double * Lap_rhs, *betax_rhs, *betay_rhs, *betaz_rhs;//out
double * dtSfx_rhs,*dtSfy_rhs,*dtSfz_rhs;//out
double * TZ; //in (Z4C)
double * TZ_rhs; //out (Z4C)
double * rho,*Sx,*Sy,*Sz ; //in
double * Sxx,*Sxy,*Sxz,*Syy,*Syz,*Szz; //in
@@ -132,6 +134,8 @@ __constant__ double SYM = 1.0;
__constant__ double ANTI = -1.0;
__constant__ double FF = 0.75;
__constant__ double eta = 2.0;
__constant__ double kappa1_c = 0.02;
__constant__ double kappa2_c = 0.0;
__constant__ double F1o3;
__constant__ double F2o3;
__constant__ double F3o2 = 1.5;
+107
View File
@@ -0,0 +1,107 @@
#include "interp_lb_profile.h"
#include <cstdio>
#include <cstring>
#include <algorithm>
namespace InterpLBProfile {
bool write_profile(const char *filepath, int nprocs,
const double *rank_times,
const int *heavy_ranks, int num_heavy,
double threshold_ratio)
{
FILE *fp = fopen(filepath, "wb");
if (!fp) return false;
ProfileHeader hdr;
hdr.magic = MAGIC;
hdr.version = VERSION;
hdr.nprocs = nprocs;
hdr.num_heavy = num_heavy;
hdr.threshold_ratio = threshold_ratio;
fwrite(&hdr, sizeof(hdr), 1, fp);
fwrite(rank_times, sizeof(double), nprocs, fp);
fwrite(heavy_ranks, sizeof(int), num_heavy, fp);
fclose(fp);
return true;
}
bool read_profile(const char *filepath, int current_nprocs,
int *heavy_ranks, int &num_heavy,
double *rank_times, MPI_Comm comm)
{
int myrank;
MPI_Comm_rank(comm, &myrank);
int valid = 0;
ProfileHeader hdr;
memset(&hdr, 0, sizeof(hdr));
if (myrank == 0) {
FILE *fp = fopen(filepath, "rb");
if (fp) {
if (fread(&hdr, sizeof(hdr), 1, fp) == 1 &&
hdr.magic == MAGIC && hdr.version == VERSION &&
hdr.nprocs == current_nprocs)
{
if (fread(rank_times, sizeof(double), current_nprocs, fp)
== (size_t)current_nprocs &&
fread(heavy_ranks, sizeof(int), hdr.num_heavy, fp)
== (size_t)hdr.num_heavy)
{
num_heavy = hdr.num_heavy;
valid = 1;
}
} else if (fp) {
printf("[InterpLB] Profile rejected: magic=0x%X version=%u "
"nprocs=%d (current=%d)\n",
hdr.magic, hdr.version, hdr.nprocs, current_nprocs);
}
fclose(fp);
}
}
MPI_Bcast(&valid, 1, MPI_INT, 0, comm);
if (!valid) return false;
MPI_Bcast(&num_heavy, 1, MPI_INT, 0, comm);
MPI_Bcast(heavy_ranks, num_heavy, MPI_INT, 0, comm);
MPI_Bcast(rank_times, current_nprocs, MPI_DOUBLE, 0, comm);
return true;
}
int identify_heavy_ranks(const double *rank_times, int nprocs,
double threshold_ratio,
int *heavy_ranks, int max_heavy)
{
double sum = 0;
for (int i = 0; i < nprocs; i++) sum += rank_times[i];
double mean = sum / nprocs;
double threshold = threshold_ratio * mean;
// Collect candidates
struct RankTime { int rank; double time; };
RankTime *candidates = new RankTime[nprocs];
int ncand = 0;
for (int i = 0; i < nprocs; i++) {
if (rank_times[i] > threshold)
candidates[ncand++] = {i, rank_times[i]};
}
// Sort descending by time
std::sort(candidates, candidates + ncand,
[](const RankTime &a, const RankTime &b) {
return a.time > b.time;
});
int count = (ncand < max_heavy) ? ncand : max_heavy;
for (int i = 0; i < count; i++)
heavy_ranks[i] = candidates[i].rank;
delete[] candidates;
return count;
}
} // namespace InterpLBProfile
Binary file not shown.
+38
View File
@@ -0,0 +1,38 @@
#ifndef INTERP_LB_PROFILE_H
#define INTERP_LB_PROFILE_H
#include <mpi.h>
namespace InterpLBProfile {
static const unsigned int MAGIC = 0x494C4250; // "ILBP"
static const unsigned int VERSION = 1;
struct ProfileHeader {
unsigned int magic;
unsigned int version;
int nprocs;
int num_heavy;
double threshold_ratio;
};
// Write profile file (rank 0 only)
bool write_profile(const char *filepath, int nprocs,
const double *rank_times,
const int *heavy_ranks, int num_heavy,
double threshold_ratio);
// Read profile file (rank 0 reads, then broadcasts to all)
// Returns true if file found and valid for current nprocs
bool read_profile(const char *filepath, int current_nprocs,
int *heavy_ranks, int &num_heavy,
double *rank_times, MPI_Comm comm);
// Identify heavy ranks: those with time > threshold_ratio * mean
int identify_heavy_ranks(const double *rank_times, int nprocs,
double threshold_ratio,
int *heavy_ranks, int max_heavy);
} // namespace InterpLBProfile
#endif /* INTERP_LB_PROFILE_H */
+29
View File
@@ -0,0 +1,29 @@
/* 本头文件由自订profile框架自动生成并非人工硬编码针对Case优化 */
/* 更新:负载均衡问题已经通过优化插值函数解决,此profile静态均衡方案已弃用,本头文件现在未参与编译 */
/* Auto-generated from interp_lb_profile.bin — do not edit */
#ifndef INTERP_LB_PROFILE_DATA_H
#define INTERP_LB_PROFILE_DATA_H
#define INTERP_LB_NPROCS 64
#define INTERP_LB_NUM_HEAVY 4
static const int interp_lb_heavy_blocks[4] = {27, 35, 28, 36};
/* Split table: {block_id, r_left, r_right} */
static const int interp_lb_splits[4][3] = {
{27, 26, 27},
{35, 34, 35},
{28, 28, 29},
{36, 36, 37},
};
/* Rank remap for displaced neighbor blocks */
static const int interp_lb_num_remaps = 4;
static const int interp_lb_remaps[][2] = {
{26, 25},
{29, 30},
{34, 33},
{37, 38},
};
#endif /* INTERP_LB_PROFILE_DATA_H */
+18 -10
View File
@@ -63,19 +63,28 @@ void kodis(const int ex[3],
* C: k0=0..ex3-1, j0=0..ex2-1, i0=0..ex1-1
* Fortran index: iF=i0+1, ...
*/
for (int k0 = 0; k0 < ex3; ++k0) {
// 收紧循环范围:只遍历满足 iF±3/jF±3/kF±3 条件的内部点
// iF-3 >= iminF => iF >= iminF+3 => i0 >= iminF+2 (因为 iF=i0+1)
// iF+3 <= imaxF => iF <= imaxF-3 => i0 <= imaxF-4
const int i0_lo = (iminF + 2 > 0) ? iminF + 2 : 0;
const int j0_lo = (jminF + 2 > 0) ? jminF + 2 : 0;
const int k0_lo = (kminF + 2 > 0) ? kminF + 2 : 0;
const int i0_hi = imaxF - 4; // inclusive
const int j0_hi = jmaxF - 4;
const int k0_hi = kmaxF - 4;
if (i0_lo > i0_hi || j0_lo > j0_hi || k0_lo > k0_hi) {
free(fh);
return;
}
for (int k0 = k0_lo; k0 <= k0_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = 0; j0 < ex2; ++j0) {
for (int j0 = j0_lo; j0 <= j0_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = 0; i0 < ex1; ++i0) {
for (int i0 = i0_lo; i0 <= i0_hi; ++i0) {
const int iF = i0 + 1;
// Fortran if 条件:
// i-3 >= imin .and. i+3 <= imax 等(都是 Fortran 索引)
if ((iF - 3) >= iminF && (iF + 3) <= imaxF &&
(jF - 3) >= jminF && (jF + 3) <= jmaxF &&
(kF - 3) >= kminF && (kF + 3) <= kmaxF)
{
const size_t p = idx_ex(i0, j0, k0, ex);
// 三个方向各一份同型的 7 点组合(实际上是对称的 6th-order dissipation/filter 核)
@@ -100,7 +109,6 @@ void kodis(const int ex[3],
// Fortran:
// f_rhs(i,j,k) = f_rhs(i,j,k) + eps/cof*(Dx_term + Dy_term + Dz_term)
f_rhs[p] += (eps / cof) * (Dx_term + Dy_term + Dz_term);
}
}
}
}
+248
View File
@@ -0,0 +1,248 @@
#include "tool.h"
/*
* Combined advection (lopsided) + KO dissipation (kodis).
* Uses one shared symmetry_bd buffer per call.
*/
void lopsided_kodis(const int ex[3],
const double *X, const double *Y, const double *Z,
const double *f, double *f_rhs,
const double *Sfx, const double *Sfy, const double *Sfz,
int Symmetry, const double SoA[3], double eps)
{
const double ZEO = 0.0, ONE = 1.0, F3 = 3.0;
const double F6 = 6.0, F18 = 18.0;
const double F12 = 12.0, F10 = 10.0, EIT = 8.0;
const double SIX = 6.0, FIT = 15.0, TWT = 20.0;
const double cof = 64.0; // 2^6
const int NO_SYMM = 0, EQ_SYMM = 1;
const int ex1 = ex[0], ex2 = ex[1], ex3 = ex[2];
const double dX = X[1] - X[0];
const double dY = Y[1] - Y[0];
const double dZ = Z[1] - Z[0];
const double d12dx = ONE / F12 / dX;
const double d12dy = ONE / F12 / dY;
const double d12dz = ONE / F12 / dZ;
const int imaxF = ex1;
const int jmaxF = ex2;
const int kmaxF = ex3;
int iminF = 1, jminF = 1, kminF = 1;
if (Symmetry > NO_SYMM && fabs(Z[0]) < dZ) kminF = -2;
if (Symmetry > EQ_SYMM && fabs(X[0]) < dX) iminF = -2;
if (Symmetry > EQ_SYMM && fabs(Y[0]) < dY) jminF = -2;
// fh for Fortran-style domain (-2:ex1,-2:ex2,-2:ex3)
const size_t nx = (size_t)ex1 + 3;
const size_t ny = (size_t)ex2 + 3;
const size_t nz = (size_t)ex3 + 3;
const size_t fh_size = nx * ny * nz;
double *fh = (double*)malloc(fh_size * sizeof(double));
if (!fh) return;
symmetry_bd(3, ex, f, fh, SoA);
// Advection (same stencil logic as lopsided_c.C)
for (int k0 = 0; k0 <= ex3 - 2; ++k0) {
const int kF = k0 + 1;
for (int j0 = 0; j0 <= ex2 - 2; ++j0) {
const int jF = j0 + 1;
for (int i0 = 0; i0 <= ex1 - 2; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
const double sfx = Sfx[p];
if (sfx > ZEO) {
if (i0 <= ex1 - 4) {
f_rhs[p] += sfx * d12dx *
(-F3 * fh[idx_fh_F(iF - 1, jF, kF, ex)]
-F10 * fh[idx_fh_F(iF , jF, kF, ex)]
+F18 * fh[idx_fh_F(iF + 1, jF, kF, ex)]
-F6 * fh[idx_fh_F(iF + 2, jF, kF, ex)]
+ fh[idx_fh_F(iF + 3, jF, kF, ex)]);
} else if (i0 <= ex1 - 3) {
f_rhs[p] += sfx * d12dx *
( fh[idx_fh_F(iF - 2, jF, kF, ex)]
-EIT * fh[idx_fh_F(iF - 1, jF, kF, ex)]
+EIT * fh[idx_fh_F(iF + 1, jF, kF, ex)]
- fh[idx_fh_F(iF + 2, jF, kF, ex)]);
} else if (i0 <= ex1 - 2) {
f_rhs[p] -= sfx * d12dx *
(-F3 * fh[idx_fh_F(iF + 1, jF, kF, ex)]
-F10 * fh[idx_fh_F(iF , jF, kF, ex)]
+F18 * fh[idx_fh_F(iF - 1, jF, kF, ex)]
-F6 * fh[idx_fh_F(iF - 2, jF, kF, ex)]
+ fh[idx_fh_F(iF - 3, jF, kF, ex)]);
}
} else if (sfx < ZEO) {
if ((i0 - 2) >= iminF) {
f_rhs[p] -= sfx * d12dx *
(-F3 * fh[idx_fh_F(iF + 1, jF, kF, ex)]
-F10 * fh[idx_fh_F(iF , jF, kF, ex)]
+F18 * fh[idx_fh_F(iF - 1, jF, kF, ex)]
-F6 * fh[idx_fh_F(iF - 2, jF, kF, ex)]
+ fh[idx_fh_F(iF - 3, jF, kF, ex)]);
} else if ((i0 - 1) >= iminF) {
f_rhs[p] += sfx * d12dx *
( fh[idx_fh_F(iF - 2, jF, kF, ex)]
-EIT * fh[idx_fh_F(iF - 1, jF, kF, ex)]
+EIT * fh[idx_fh_F(iF + 1, jF, kF, ex)]
- fh[idx_fh_F(iF + 2, jF, kF, ex)]);
} else if (i0 >= iminF) {
f_rhs[p] += sfx * d12dx *
(-F3 * fh[idx_fh_F(iF - 1, jF, kF, ex)]
-F10 * fh[idx_fh_F(iF , jF, kF, ex)]
+F18 * fh[idx_fh_F(iF + 1, jF, kF, ex)]
-F6 * fh[idx_fh_F(iF + 2, jF, kF, ex)]
+ fh[idx_fh_F(iF + 3, jF, kF, ex)]);
}
}
const double sfy = Sfy[p];
if (sfy > ZEO) {
if (j0 <= ex2 - 4) {
f_rhs[p] += sfy * d12dy *
(-F3 * fh[idx_fh_F(iF, jF - 1, kF, ex)]
-F10 * fh[idx_fh_F(iF, jF , kF, ex)]
+F18 * fh[idx_fh_F(iF, jF + 1, kF, ex)]
-F6 * fh[idx_fh_F(iF, jF + 2, kF, ex)]
+ fh[idx_fh_F(iF, jF + 3, kF, ex)]);
} else if (j0 <= ex2 - 3) {
f_rhs[p] += sfy * d12dy *
( fh[idx_fh_F(iF, jF - 2, kF, ex)]
-EIT * fh[idx_fh_F(iF, jF - 1, kF, ex)]
+EIT * fh[idx_fh_F(iF, jF + 1, kF, ex)]
- fh[idx_fh_F(iF, jF + 2, kF, ex)]);
} else if (j0 <= ex2 - 2) {
f_rhs[p] -= sfy * d12dy *
(-F3 * fh[idx_fh_F(iF, jF + 1, kF, ex)]
-F10 * fh[idx_fh_F(iF, jF , kF, ex)]
+F18 * fh[idx_fh_F(iF, jF - 1, kF, ex)]
-F6 * fh[idx_fh_F(iF, jF - 2, kF, ex)]
+ fh[idx_fh_F(iF, jF - 3, kF, ex)]);
}
} else if (sfy < ZEO) {
if ((j0 - 2) >= jminF) {
f_rhs[p] -= sfy * d12dy *
(-F3 * fh[idx_fh_F(iF, jF + 1, kF, ex)]
-F10 * fh[idx_fh_F(iF, jF , kF, ex)]
+F18 * fh[idx_fh_F(iF, jF - 1, kF, ex)]
-F6 * fh[idx_fh_F(iF, jF - 2, kF, ex)]
+ fh[idx_fh_F(iF, jF - 3, kF, ex)]);
} else if ((j0 - 1) >= jminF) {
f_rhs[p] += sfy * d12dy *
( fh[idx_fh_F(iF, jF - 2, kF, ex)]
-EIT * fh[idx_fh_F(iF, jF - 1, kF, ex)]
+EIT * fh[idx_fh_F(iF, jF + 1, kF, ex)]
- fh[idx_fh_F(iF, jF + 2, kF, ex)]);
} else if (j0 >= jminF) {
f_rhs[p] += sfy * d12dy *
(-F3 * fh[idx_fh_F(iF, jF - 1, kF, ex)]
-F10 * fh[idx_fh_F(iF, jF , kF, ex)]
+F18 * fh[idx_fh_F(iF, jF + 1, kF, ex)]
-F6 * fh[idx_fh_F(iF, jF + 2, kF, ex)]
+ fh[idx_fh_F(iF, jF + 3, kF, ex)]);
}
}
const double sfz = Sfz[p];
if (sfz > ZEO) {
if (k0 <= ex3 - 4) {
f_rhs[p] += sfz * d12dz *
(-F3 * fh[idx_fh_F(iF, jF, kF - 1, ex)]
-F10 * fh[idx_fh_F(iF, jF, kF , ex)]
+F18 * fh[idx_fh_F(iF, jF, kF + 1, ex)]
-F6 * fh[idx_fh_F(iF, jF, kF + 2, ex)]
+ fh[idx_fh_F(iF, jF, kF + 3, ex)]);
} else if (k0 <= ex3 - 3) {
f_rhs[p] += sfz * d12dz *
( fh[idx_fh_F(iF, jF, kF - 2, ex)]
-EIT * fh[idx_fh_F(iF, jF, kF - 1, ex)]
+EIT * fh[idx_fh_F(iF, jF, kF + 1, ex)]
- fh[idx_fh_F(iF, jF, kF + 2, ex)]);
} else if (k0 <= ex3 - 2) {
f_rhs[p] -= sfz * d12dz *
(-F3 * fh[idx_fh_F(iF, jF, kF + 1, ex)]
-F10 * fh[idx_fh_F(iF, jF, kF , ex)]
+F18 * fh[idx_fh_F(iF, jF, kF - 1, ex)]
-F6 * fh[idx_fh_F(iF, jF, kF - 2, ex)]
+ fh[idx_fh_F(iF, jF, kF - 3, ex)]);
}
} else if (sfz < ZEO) {
if ((k0 - 2) >= kminF) {
f_rhs[p] -= sfz * d12dz *
(-F3 * fh[idx_fh_F(iF, jF, kF + 1, ex)]
-F10 * fh[idx_fh_F(iF, jF, kF , ex)]
+F18 * fh[idx_fh_F(iF, jF, kF - 1, ex)]
-F6 * fh[idx_fh_F(iF, jF, kF - 2, ex)]
+ fh[idx_fh_F(iF, jF, kF - 3, ex)]);
} else if ((k0 - 1) >= kminF) {
f_rhs[p] += sfz * d12dz *
( fh[idx_fh_F(iF, jF, kF - 2, ex)]
-EIT * fh[idx_fh_F(iF, jF, kF - 1, ex)]
+EIT * fh[idx_fh_F(iF, jF, kF + 1, ex)]
- fh[idx_fh_F(iF, jF, kF + 2, ex)]);
} else if (k0 >= kminF) {
f_rhs[p] += sfz * d12dz *
(-F3 * fh[idx_fh_F(iF, jF, kF - 1, ex)]
-F10 * fh[idx_fh_F(iF, jF, kF , ex)]
+F18 * fh[idx_fh_F(iF, jF, kF + 1, ex)]
-F6 * fh[idx_fh_F(iF, jF, kF + 2, ex)]
+ fh[idx_fh_F(iF, jF, kF + 3, ex)]);
}
}
}
}
}
// KO dissipation (same domain restriction as kodiss_c.C)
if (eps > ZEO) {
const int i0_lo = (iminF + 2 > 0) ? iminF + 2 : 0;
const int j0_lo = (jminF + 2 > 0) ? jminF + 2 : 0;
const int k0_lo = (kminF + 2 > 0) ? kminF + 2 : 0;
const int i0_hi = imaxF - 4; // inclusive
const int j0_hi = jmaxF - 4;
const int k0_hi = kmaxF - 4;
if (!(i0_lo > i0_hi || j0_lo > j0_hi || k0_lo > k0_hi)) {
for (int k0 = k0_lo; k0 <= k0_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j0_lo; j0 <= j0_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i0_lo; i0 <= i0_hi; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
const double Dx_term =
((fh[idx_fh_F(iF - 3, jF, kF, ex)] + fh[idx_fh_F(iF + 3, jF, kF, ex)]) -
SIX * (fh[idx_fh_F(iF - 2, jF, kF, ex)] + fh[idx_fh_F(iF + 2, jF, kF, ex)]) +
FIT * (fh[idx_fh_F(iF - 1, jF, kF, ex)] + fh[idx_fh_F(iF + 1, jF, kF, ex)]) -
TWT * fh[idx_fh_F(iF, jF, kF, ex)]) / dX;
const double Dy_term =
((fh[idx_fh_F(iF, jF - 3, kF, ex)] + fh[idx_fh_F(iF, jF + 3, kF, ex)]) -
SIX * (fh[idx_fh_F(iF, jF - 2, kF, ex)] + fh[idx_fh_F(iF, jF + 2, kF, ex)]) +
FIT * (fh[idx_fh_F(iF, jF - 1, kF, ex)] + fh[idx_fh_F(iF, jF + 1, kF, ex)]) -
TWT * fh[idx_fh_F(iF, jF, kF, ex)]) / dY;
const double Dz_term =
((fh[idx_fh_F(iF, jF, kF - 3, ex)] + fh[idx_fh_F(iF, jF, kF + 3, ex)]) -
SIX * (fh[idx_fh_F(iF, jF, kF - 2, ex)] + fh[idx_fh_F(iF, jF, kF + 2, ex)]) +
FIT * (fh[idx_fh_F(iF, jF, kF - 1, ex)] + fh[idx_fh_F(iF, jF, kF + 1, ex)]) -
TWT * fh[idx_fh_F(iF, jF, kF, ex)]) / dZ;
f_rhs[p] += (eps / cof) * (Dx_term + Dy_term + Dz_term);
}
}
}
}
}
free(fh);
}
+25 -1
View File
@@ -29,6 +29,16 @@
#define REGLEV 0
#define BSSN_FINE_TIMING 0
#define BSSN_FINE_TIMING_EVERY 1
#define BSSN_FINE_TIMING_TOPN 8
#define BSSN_KERNEL_FINE_TIMING 0
#define BSSN_ENABLE_STDIN_ABORT_POLL 0
//#define USE_GPU
//#define CHECKDETAIL
@@ -88,6 +98,21 @@
// 0: for every level;
// 1: for all
//
// define BSSN_FINE_TIMING
// enable fine-grained per-timestep timing monitor
//
// define BSSN_FINE_TIMING_EVERY
// report timing every N coarse timesteps
//
// define BSSN_FINE_TIMING_TOPN
// number of hottest timing buckets shown in stdout
//
// define BSSN_KERNEL_FINE_TIMING
// enable split timing inside compute_rhs_bssn
//
// define BSSN_ENABLE_STDIN_ABORT_POLL
// poll stdin and broadcast abort flag every coarse step
//
// define USE_GPU
// use gpu or not
//
@@ -142,4 +167,3 @@
#define TINY 1e-10
#endif /* MICRODEF_H */
+150 -32
View File
@@ -2,25 +2,50 @@
include makefile.inc
## polint(ordn=6) kernel selector:
## 1 (default): barycentric fast path
## 0 : fallback to Neville path
POLINT6_USE_BARY ?= 1
POLINT6_FLAG = -DPOLINT6_USE_BARYCENTRIC=$(POLINT6_USE_BARY)
## ABE build flags selected by PGO_MODE (set in makefile.inc, default: opt)
## make -> opt (PGO-guided, maximum performance)
## make PGO_MODE=instrument -> instrument (Phase 1: collect fresh profile data)
PROFDATA = /home/$(shell whoami)/AMSS-NCKU/pgo_profile/default.profdata
ifeq ($(TOOLCHAIN),intel)
OMP_FLAG = -qopenmp
ifeq ($(PGO_MODE),instrument)
## Phase 1: instrumentation — omit -ipo/-fp-model fast=2 for faster build and numerical stability
CXXAPPFLAGS = -O3 -xHost -fma -fprofile-instr-generate -ipo \
-Dfortran3 -Dnewc -I${MKLROOT}/include
f90appflags = -O3 -xHost -fma -fprofile-instr-generate -ipo \
-align array64byte -fpp -I${MKLROOT}/include
## Intel Phase 1: instrumentation — omit -ipo/-fp-model fast=2 for faster build and numerical stability
CXXAPPFLAGS = -O3 -march=znver5 -fma -fprofile-instr-generate -ipo \
-Dfortran3 -Dnewc $(MKL_INC) $(INTERP_LB_FLAGS)
f90appflags = -O3 -march=znver5 -fma -fprofile-instr-generate -ipo \
-align array64byte -fpp $(MKL_INC) $(POLINT6_FLAG)
else
## opt (default): maximum performance with PGO profile data
CXXAPPFLAGS = -O3 -xHost -fp-model fast=2 -fma -ipo \
-fprofile-instr-use=$(PROFDATA) \
-Dfortran3 -Dnewc -I${MKLROOT}/include
f90appflags = -O3 -xHost -fp-model fast=2 -fma -ipo \
-fprofile-instr-use=$(PROFDATA) \
-align array64byte -fpp -I${MKLROOT}/include
## opt (default): maximum performance with PGO profile data -fprofile-instr-use=$(PROFDATA) \
## PGO has been turned off, now tested and found to be negative optimization
## INTERP_LB_FLAGS has been turned off too, now tested and found to be negative optimization
CXXAPPFLAGS = -O3 -march=znver5 -fp-model fast=2 -fma -ipo \
-Dfortran3 -Dnewc $(MKL_INC) $(INTERP_LB_FLAGS)
f90appflags = -O3 -march=znver5 -fp-model fast=2 -fma -ipo \
-align array64byte -fpp $(MKL_INC) $(POLINT6_FLAG)
endif
TP_OPTFLAGS = -O3 -march=znver5 -fp-model fast=2 -fma -ipo \
-Dfortran3 -Dnewc $(MKL_INC)
else
## NVHPC defaults: mpicc/mpicxx/mpifort wrappers
## PGO_MODE is ignored in this branch.
OMP_FLAG = -mp
CXXAPPFLAGS = -O3 -march=znver5 -tp=host -Mcache_align -Mfma \
-Dfortran3 -Dnewc $(MKL_INC) $(INTERP_LB_FLAGS)
f90appflags = -O3 -march=znver5 -tp=host -Mcache_align -Mfma -Mpreprocess \
$(MKL_INC) $(POLINT6_FLAG)
TP_OPTFLAGS = -O3 -march=znver5 -tp=host -Mcache_align -Mfma \
-Dfortran3 -Dnewc $(MKL_INC)
endif
.SUFFIXES: .o .f90 .C .for .cu
@@ -31,12 +56,28 @@ endif
.C.o:
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
# ShellPatch.C uses OpenMP for setupintintstuff search loops
ShellPatch.o: ShellPatch.C
${CXX} $(CXXAPPFLAGS) $(OMP_FLAG) -c $< $(filein) -o $@
.for.o:
$(f77) -c $< -o $@
.cu.o:
$(Cu) $(CUDA_APP_FLAGS) -c $< -o $@ $(CUDA_LIB_PATH)
# CUDA rewrite of BSSN RHS (drop-in replacement for bssn_rhs_c + stencil helpers)
bssn_rhs_cuda.o: bssn_rhs_cuda.cu bssn_rhs.h macrodef.h fd_cuda_helpers.cuh
$(Cu) $(CUDA_APP_FLAGS) -c $< -o $@ $(CUDA_LIB_PATH)
# CUDA rewrite of BSSN Shell-Patch RHS (drop-in replacement for bssn_rhs_ss)
bssn_gpu_rhs_ss.o: bssn_gpu_rhs_ss.cu bssn_gpu.h gpu_rhsSS_mem.h bssn_macro.h macrodef.fh
$(Cu) $(CUDA_APP_FLAGS) -c $< -o $@ $(CUDA_LIB_PATH)
# CUDA rewrite of Z4C Cartesian RHS
z4c_rhs_cuda.o: z4c_rhs_cuda.cu z4c_rhs_cuda.h bssn_rhs.h macrodef.h ricci_gamma.h fd_cuda_helpers.cuh
$(Cu) $(CUDA_APP_FLAGS) -c $< -o $@ $(CUDA_LIB_PATH)
# C rewrite of BSSN RHS kernel and helpers
bssn_rhs_c.o: bssn_rhs_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
@@ -53,28 +94,92 @@ kodiss_c.o: kodiss_c.C
lopsided_c.o: lopsided_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
## TwoPunctureABE uses fixed optimal flags, independent of CXXAPPFLAGS (which may be PGO-instrumented)
TP_OPTFLAGS = -O3 -xHost -fp-model fast=2 -fma -ipo -Dfortran3 -Dnewc -I${MKLROOT}/include
lopsided_kodis_c.o: lopsided_kodis_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
z4c_rhs_c.o: z4c_rhs_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
#interp_lb_profile.o: interp_lb_profile.C interp_lb_profile.h
# ${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
TwoPunctures.o: TwoPunctures.C
${CXX} $(TP_OPTFLAGS) -qopenmp -c $< -o $@
${CXX} $(TP_OPTFLAGS) $(OMP_FLAG) -c $< -o $@
TwoPunctureABE.o: TwoPunctureABE.C
${CXX} $(TP_OPTFLAGS) -qopenmp -c $< -o $@
${CXX} $(TP_OPTFLAGS) $(OMP_FLAG) -c $< -o $@
# Input files
# C rewrite files
CFILES = bssn_rhs_c.o fderivs_c.o fdderivs_c.o kodiss_c.o lopsided_c.o
## CUDA BSSN RHS switch
## 1 : use the rewritten CUDA bssn_rhs backend
## 0 : keep the normal CPU/Fortran selection below
USE_CUDA_BSSN ?= 0
USE_CUDA_Z4C ?= 0
AMSS_Z4C_MRBD ?= 0
CXXAPPFLAGS += -DUSE_CUDA_BSSN=$(USE_CUDA_BSSN)
CUDA_APP_FLAGS += -DUSE_CUDA_BSSN=$(USE_CUDA_BSSN)
CXXAPPFLAGS += -DUSE_CUDA_Z4C=$(USE_CUDA_Z4C)
CUDA_APP_FLAGS += -DUSE_CUDA_Z4C=$(USE_CUDA_Z4C)
CXXAPPFLAGS += -DAMSS_Z4C_MRBD=$(AMSS_Z4C_MRBD)
CUDA_APP_FLAGS += -DAMSS_Z4C_MRBD=$(AMSS_Z4C_MRBD)
## Kernel implementation switch (set USE_CXX_KERNELS=0 to fall back to Fortran)
ifeq ($(USE_CXX_KERNELS),0)
# Fortran mode: no C rewrite files; bssn_rhs.o is included via F90FILES below
CFILES_CPU =
else
# C++ mode (default): C rewrite of bssn_rhs and helper kernels
CFILES_CPU = bssn_rhs_c.o fderivs_c.o fdderivs_c.o kodiss_c.o lopsided_c.o lopsided_kodis_c.o
endif
CFILES_CUDA_BSSN = bssn_rhs_cuda.o bssn_gpu_rhs_ss.o
ifeq ($(USE_CUDA_BSSN),1)
CFILES = $(CFILES_CUDA_BSSN)
else
CFILES = $(CFILES_CPU)
endif
ifeq ($(USE_CUDA_Z4C),1)
CFILES += z4c_rhs_cuda.o
Z4C_F90_OBJ =
else ifeq ($(USE_CXX_Z4C_KERNELS),1)
CFILES += z4c_rhs_c.o
Z4C_F90_OBJ =
else
Z4C_F90_OBJ = Z4c_rhs.o
endif
## RK4 kernel switch (independent from USE_CXX_KERNELS)
ifeq ($(USE_CXX_RK4),1)
RK4_C_OBJ = rungekutta4_rout_c.o
RK4_F90_OBJ =
else
RK4_C_OBJ =
RK4_F90_OBJ = rungekutta4_rout.o
endif
CFILES += $(RK4_C_OBJ)
ABE_CUDA_CFILES = $(CFILES_CUDA_BSSN) z4c_rhs_cuda.o $(RK4_C_OBJ)
ABE_LDLIBS = $(LDLIBS)
ifeq ($(USE_CUDA_BSSN),1)
ABE_LDLIBS += -lcudart $(CUDA_LIB_PATH)
endif
ifeq ($(USE_CUDA_Z4C),1)
ABE_LDLIBS += -lcudart $(CUDA_LIB_PATH)
endif
C++FILES = ABE.o Ansorg.o Block.o misc.o monitor.o Parallel.o MPatch.o var.o\
cgh.o bssn_class.o surface_integral.o ShellPatch.o\
bssnEScalar_class.o perf.o Z4c_class.o NullShellPatch.o\
bssnEM_class.o cpbc_util.o z4c_rhs_point.o checkpoint.o\
Parallel_bam.o scalar_class.o transpbh.o NullShellPatch2.o\
NullShellPatch2_Evo.o writefile_f.o
NullShellPatch2_Evo.o writefile_f.o interp_lb_profile.o
C++FILES_GPU = ABE.o Ansorg.o Block.o misc.o monitor.o Parallel.o MPatch.o var.o\
#C++FILES_GPU = ABE.o Ansorg.o Block.o misc.o monitor.o Parallel.o MPatch.o var.o\
cgh.o surface_integral.o ShellPatch.o\
bssnEScalar_class.o perf.o Z4c_class.o NullShellPatch.o\
bssnEM_class.o cpbc_util.o z4c_rhs_point.o checkpoint.o\
@@ -82,19 +187,27 @@ C++FILES_GPU = ABE.o Ansorg.o Block.o misc.o monitor.o Parallel.o MPatch.o var.o
NullShellPatch2_Evo.o \
bssn_gpu_class.o bssn_step_gpu.o bssn_macro.o writefile_f.o
F90FILES = enforce_algebra.o fmisc.o initial_puncture.o prolongrestrict.o\
F90FILES_BASE = enforce_algebra.o fmisc.o initial_puncture.o prolongrestrict.o\
prolongrestrict_cell.o prolongrestrict_vertex.o\
rungekutta4_rout.o diff_new.o kodiss.o kodiss_sh.o\
$(RK4_F90_OBJ) diff_new.o kodiss.o kodiss_sh.o\
lopsidediff.o sommerfeld_rout.o getnp4.o diff_new_sh.o\
shellfunctions.o bssn_rhs_ss.o Set_Rho_ADM.o\
getnp4EScalar.o bssnEScalar_rhs.o bssn_constraint.o ricci_gamma.o\
fadmquantites_bssn.o Z4c_rhs.o Z4c_rhs_ss.o point_diff_new_sh.o\
fadmquantites_bssn.o $(Z4C_F90_OBJ) Z4c_rhs_ss.o point_diff_new_sh.o\
cpbc.o getnp4old.o NullEvol.o initial_null.o initial_maxwell.o\
getnpem2.o empart.o NullNews.o fourdcurvature.o\
bssn2adm.o adm_constraint.o adm_ricci_gamma.o\
scalar_rhs.o initial_scalar.o NullEvol2.o initial_null2.o\
NullNews2.o tool_f.o
ifeq ($(USE_CXX_KERNELS),0)
# Fortran mode: include original bssn_rhs.o
F90FILES = $(F90FILES_BASE) bssn_rhs.o
else
# C++ mode (default): bssn_rhs.o replaced by C++ kernel
F90FILES = $(F90FILES_BASE)
endif
F77FILES = zbesh.o
AHFDOBJS = expansion.o expansion_Jacobian.o patch.o coords.o patch_info.o patch_interp.o patch_system.o \
@@ -104,10 +217,10 @@ initial_guess.o Newton.o Jacobian.o ilucg.o IntPnts0.o IntPnts.o
TwoPunctureFILES = TwoPunctureABE.o TwoPunctures.o
CUDAFILES = bssn_gpu.o bssn_gpu_rhs_ss.o
#CUDAFILES = bssn_gpu.o bssn_gpu_rhs_ss.o
# file dependences
$(C++FILES) $(C++FILES_GPU) $(F90FILES) $(CFILES) $(AHFDOBJS) $(CUDAFILES): macrodef.fh
$(C++FILES) $(C++FILES_GPU) $(F90FILES) $(CFILES) $(ABE_CUDA_CFILES) $(AHFDOBJS) $(CUDAFILES): macrodef.fh
$(C++FILES): Block.h enforce_algebra.h fmisc.h initial_puncture.h macrodef.h\
misc.h monitor.h MyList.h Parallel.h MPatch.h prolongrestrict.h\
@@ -118,7 +231,7 @@ $(C++FILES): Block.h enforce_algebra.h fmisc.h initial_puncture.h macrodef.h\
empart.h NullNews.h kodiss.h Parallel_bam.h ricci_gamma.h\
initial_null2.h NullShellPatch2.h
$(C++FILES_GPU): Block.h enforce_algebra.h fmisc.h initial_puncture.h macrodef.h\
#$(C++FILES_GPU): Block.h enforce_algebra.h fmisc.h initial_puncture.h macrodef.h\
misc.h monitor.h MyList.h Parallel.h MPatch.h prolongrestrict.h\
rungekutta4_rout.h var.h bssn_rhs.h sommerfeld_rout.h\
cgh.h surface_integral.h ShellPatch.h shellfunctions.h perf.h\
@@ -130,7 +243,7 @@ $(C++FILES_GPU): Block.h enforce_algebra.h fmisc.h initial_puncture.h macrodef.h
$(AHFDOBJS): cctk.h cctk_Config.h cctk_Types.h cctk_Constants.h myglobal.h
$(C++FILES) $(C++FILES_GPU) $(CFILES) $(AHFDOBJS) $(CUDAFILES): macrodef.h
$(C++FILES) $(C++FILES_GPU) $(CFILES) $(ABE_CUDA_CFILES) $(AHFDOBJS) $(CUDAFILES): macrodef.h
TwoPunctureFILES: TwoPunctures.h
@@ -140,13 +253,18 @@ misc.o : zbesh.o
# projects
ABE: $(C++FILES) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS)
$(CLINKER) $(CXXAPPFLAGS) -o $@ $(C++FILES) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(LDLIBS)
$(CLINKER) $(CXXAPPFLAGS) -o $@ $(C++FILES) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(ABE_LDLIBS)
ABE_CUDA: USE_CUDA_BSSN=1
ABE_CUDA: USE_CUDA_Z4C=1
ABE_CUDA: $(C++FILES) $(ABE_CUDA_CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS)
$(CLINKER) $(CXXAPPFLAGS) -o $@ $(C++FILES) $(ABE_CUDA_CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(LDLIBS) -lcudart $(CUDA_LIB_PATH)
ABEGPU: $(C++FILES_GPU) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(CUDAFILES)
$(CLINKER) $(CXXAPPFLAGS) -o $@ $(C++FILES_GPU) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(CUDAFILES) $(LDLIBS)
#ABEGPU: $(C++FILES_GPU) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(CUDAFILES)
# $(CLINKER) $(CXXAPPFLAGS) -o $@ $(C++FILES_GPU) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(CUDAFILES) $(LDLIBS)
TwoPunctureABE: $(TwoPunctureFILES)
$(CLINKER) $(TP_OPTFLAGS) -qopenmp -o $@ $(TwoPunctureFILES) $(LDLIBS)
$(CLINKER) $(TP_OPTFLAGS) $(OMP_FLAG) -o $@ $(TwoPunctureFILES) $(LDLIBS)
clean:
rm *.o ABE ABEGPU TwoPunctureABE make.log -f
rm *.o ABE ABE_CUDA ABEGPU TwoPunctureABE make.log -f
+81 -16
View File
@@ -1,26 +1,91 @@
## GCC version (commented out)
## filein = -I/usr/include -I/usr/lib/x86_64-linux-gnu/mpich/include -I/usr/lib/x86_64-linux-gnu/openmpi/lib/ -I/usr/lib/gcc/x86_64-linux-gnu/11/ -I/usr/include/c++/11/
## filein = -I/usr/include/ -I/usr/include/openmpi-x86_64/ -I/usr/lib/x86_64-linux-gnu/openmpi/include/ -I/usr/lib/x86_64-linux-gnu/openmpi/lib/ -I/usr/lib/gcc/x86_64-linux-gnu/11/ -I/usr/include/c++/11/
## LDLIBS = -L/usr/lib/x86_64-linux-gnu -L/usr/lib64 -L/usr/lib/gcc/x86_64-linux-gnu/11 -lgfortran -lmpi -lgfortran
## Intel oneAPI version with oneMKL (Optimized for performance)
filein = -I/usr/include/ -I${MKLROOT}/include
## Using sequential MKL (OpenMP disabled for better single-threaded performance)
## Added -lifcore for Intel Fortran runtime and -limf for Intel math library
LDLIBS = -L${MKLROOT}/lib -lmkl_intel_lp64 -lmkl_sequential -lmkl_core -lifcore -limf -lpthread -lm -ldl -liomp5
## Toolchain selection
## nvhpc : NVIDIA HPC SDK + CUDA-aware MPI (default)
## intel : Intel oneAPI toolchain (legacy path)
TOOLCHAIN ?= intel
## PGO build mode switch (ABE only; TwoPunctureABE always uses opt flags)
## opt : (default) maximum performance with PGO profile-guided optimization
## instrument : PGO Phase 1 instrumentation to collect fresh profile data
PGO_MODE ?= opt
## Interp_Points load balance profiling mode
## off : (default) no load balance instrumentation
## profile : Pass 1 — instrument Interp_Points to collect timing profile
## optimize : Pass 2 — read profile and apply block rebalancing
INTERP_LB_MODE ?= off
ifeq ($(INTERP_LB_MODE),profile)
INTERP_LB_FLAGS = -DINTERP_LB_PROFILE
else ifeq ($(INTERP_LB_MODE),optimize)
INTERP_LB_FLAGS = -DINTERP_LB_OPTIMIZE
else
INTERP_LB_FLAGS =
endif
MKLROOT ?= /home/intel/oneapi/mkl/latest
MKL_LIBDIR ?= $(MKLROOT)/lib/intel64
MKL_INC ?= -I$(MKLROOT)/include
NVHPC_ROOT ?= /home/nvidia/hpc_sdk/Linux_x86_64/25.11
CUDA_HOME ?= $(NVHPC_ROOT)/cuda
CUDA_ARCH ?= sm_80
## Kernel implementation switch
## 1 (default) : use C++ rewrite of bssn_rhs and helper kernels (faster)
## 0 : fall back to original Fortran kernels
USE_CXX_KERNELS ?= 1
## Z4C Cartesian RHS kernel switch
## 1 (default) : use C++ rewrite of Z4c_rhs (main Cartesian path faster)
## 0 : use original Fortran Z4c_rhs.o
USE_CXX_Z4C_KERNELS ?= 1
## RK4 kernel implementation switch
## 1 (default) : use C/C++ rewrite of rungekutta4_rout (for optimization experiments)
## 0 : use original Fortran rungekutta4_rout.o
USE_CXX_RK4 ?= 1
## Memory allocator switch
## 1 (default) : link Intel oneTBB allocator (libtbbmalloc)
## 0 : use system default allocator (ptmalloc)
USE_TBBMALLOC ?= 1
TBBMALLOC_SO ?= /home/intel/oneapi/2025.3/lib/libtbbmalloc.so
ifneq ($(wildcard $(TBBMALLOC_SO)),)
TBBMALLOC_LIBS = -Wl,--no-as-needed $(TBBMALLOC_SO) -Wl,--as-needed
else
TBBMALLOC_LIBS = -Wl,--no-as-needed -ltbbmalloc -Wl,--as-needed
endif
ifeq ($(TOOLCHAIN),intel)
f90 = ifx
f77 = ifx
CXX = icpx
CC = icx
CLINKER = mpiicpx
CLINKER = mpiicpx
filein = -I/usr/include/ $(MKL_INC) -I$(CUDA_HOME)/include
LDLIBS = -L$(MKL_LIBDIR) -Wl,-rpath,$(MKL_LIBDIR) \
-lmkl_intel_lp64 -lmkl_sequential -lmkl_core \
-lifcore -limf -liomp5 -lpthread -lm -ldl \
-L$(CUDA_HOME)/lib64 -Wl,-rpath,$(CUDA_HOME)/lib64 -lcuda -lcudart
else ifeq ($(TOOLCHAIN),nvhpc)
f90 = mpifort
f77 = mpifort
CXX = mpicxx
CC = mpicc
CLINKER = mpicxx
Cu = nvcc
CUDA_LIB_PATH = -L/usr/lib/cuda/lib64 -I/usr/include -I/usr/lib/cuda/include
#CUDA_APP_FLAGS = -c -g -O3 --ptxas-options=-v -arch compute_13 -code compute_13,sm_13 -Dfortran3 -Dnewc
CUDA_APP_FLAGS = -c -g -O3 --ptxas-options=-v -Dfortran3 -Dnewc
filein = -I/usr/include/ $(MKL_INC) -I$(CUDA_HOME)/include
LDLIBS = -L$(MKL_LIBDIR) -Wl,-rpath,$(MKL_LIBDIR) \
-lmkl_intel_lp64 -lmkl_sequential -lmkl_core \
-lpthread -lm -ldl \
-L$(CUDA_HOME)/lib64 -Wl,-rpath,$(CUDA_HOME)/lib64 -lcuda -lcudart \
-fortranlibs
endif
ifeq ($(USE_TBBMALLOC),1)
LDLIBS := $(TBBMALLOC_LIBS) $(LDLIBS)
endif
Cu = $(NVHPC_ROOT)/compilers/bin/nvcc
CUDA_LIB_PATH = -L$(CUDA_HOME)/lib64 -I$(CUDA_HOME)/include
CUDA_APP_FLAGS = -c -g -O3 --ptxas-options=-v -Dfortran3 -Dnewc -arch=$(CUDA_ARCH)
+26 -23
View File
@@ -1,7 +1,8 @@
#ifdef newc
#include <cstdio>
using namespace std;
#ifdef newc
#include <cstdio>
#include <sstream>
using namespace std;
#else
#include <stdio.h>
#endif
@@ -77,16 +78,17 @@ monitor::monitor(const char fname[], int myrank, string head)
parameters::str_par.insert(map<string, string>::value_type("output dir", out_dir));
}
// considering checkpoint run
char filename[50];
sprintf(filename, "%s/%s", out_dir.c_str(), fname);
int i = 1;
while ((access(filename, F_OK)) != -1)
{
sprintf(filename, "%s/%d_%s", out_dir.c_str(), i, fname);
i++;
}
outfile.open(filename, ios::trunc);
string filename = out_dir + "/" + fname;
int i = 1;
while ((access(filename.c_str(), F_OK)) != -1)
{
stringstream ss;
ss << out_dir << "/" << i << "_" << fname;
filename = ss.str();
i++;
}
outfile.open(filename.c_str(), ios::trunc);
time_t tnow;
time(&tnow);
@@ -107,16 +109,17 @@ monitor::monitor(const char fname[], int myrank, const int out_rank, string head
if (I_Print)
{
// considering checkpoint run
char filename[50];
sprintf(filename, "%s/%s", out_dir.c_str(), fname);
int i = 1;
while ((access(filename, F_OK)) != -1)
{
sprintf(filename, "%s/%d_%s", out_dir.c_str(), i, fname);
i++;
}
outfile.open(filename, ios::trunc);
string filename = out_dir + "/" + fname;
int i = 1;
while ((access(filename.c_str(), F_OK)) != -1)
{
stringstream ss;
ss << out_dir << "/" << i << "_" << fname;
filename = ss.str();
i++;
}
outfile.open(filename.c_str(), ios::trunc);
time_t tnow;
time(&tnow);
+237 -141
View File
@@ -1934,18 +1934,35 @@
! when if=1 -> ic=0, this is different to vertex center grid
real*8, dimension(-2:extc(1),-2:extc(2),-2:extc(3)) :: funcc
integer,dimension(3) :: cxI
integer :: i,j,k,ii,jj,kk
integer :: i,j,k,ii,jj,kk,px,py,pz
real*8, dimension(6,6) :: tmp2
real*8, dimension(6) :: tmp1
integer, dimension(extf(1)) :: cix
integer, dimension(extf(2)) :: ciy
integer, dimension(extf(3)) :: ciz
integer, dimension(extf(1)) :: pix
integer, dimension(extf(2)) :: piy
integer, dimension(extf(3)) :: piz
real*8, parameter :: C1=7.7d1/8.192d3,C2=-6.93d2/8.192d3,C3=3.465d3/4.096d3
real*8, parameter :: C6=6.3d1/8.192d3,C5=-4.95d2/8.192d3,C4=1.155d3/4.096d3
real*8, dimension(6,2), parameter :: WC = reshape((/&
C1,C2,C3,C4,C5,C6,&
C6,C5,C4,C3,C2,C1/), (/6,2/))
integer::imini,imaxi,jmini,jmaxi,kmini,kmaxi
integer::imino,imaxo,jmino,jmaxo,kmino,kmaxo
integer::maxcx,maxcy,maxcz
real*8,dimension(3) :: CD,FD
real*8 :: tmp_yz(extc(1), 6) ! X 线 6 Y Z
real*8 :: tmp_xyz_line(-2:extc(1)) ! X 6 访
real*8 :: v1, v2, v3, v4, v5, v6
integer :: ic, jc, kc, ix_offset,ix,iy,iz,jc_min,jc_max,ic_min,ic_max,kc_min,kc_max
integer :: i_lo, i_hi, j_lo, j_hi, k_lo, k_hi
logical :: need_full_symmetry
real*8 :: res_line
real*8 :: tmp_z_slab(-2:extc(1), -2:extc(2)) ! Y/X 访
if(wei.ne.3)then
write(*,*)"prolongrestrict.f90::prolong3: this routine only surport 3 dimension"
write(*,*)"dim = ",wei
@@ -2020,145 +2037,140 @@
return
endif
call symmetry_bd(3,extc,func,funcc,SoA)
!~~~~~~> prolongation start...
do i = imino,imaxo
ii = i + lbf(1) - 1
cix(i) = ii/2 - lbc(1) + 1
if(ii/2*2 == ii)then
pix(i) = 1
else
pix(i) = 2
endif
enddo
do j = jmino,jmaxo
jj = j + lbf(2) - 1
ciy(j) = jj/2 - lbc(2) + 1
if(jj/2*2 == jj)then
piy(j) = 1
else
piy(j) = 2
endif
enddo
do k = kmino,kmaxo
do j = jmino,jmaxo
do i = imino,imaxo
cxI(1) = i
cxI(2) = j
cxI(3) = k
! change to coarse level reference
!|---*--- ---*--- ---*--- ---*--- ---*--- ---*--- ---*--- ---*---|
!|=======x===============x===============x===============x=======|
cxI = (cxI+lbf-1)/2
! change to array index
cxI = cxI - lbc + 1
if(any(cxI+3 > extc)) write(*,*)"error in prolong"
ii=i+lbf(1)-1
jj=j+lbf(2)-1
kk=k+lbf(3)-1
#if 0
if(ii/2*2==ii)then
if(jj/2*2==jj)then
if(kk/2*2==kk)then
tmp2= C1*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-2)+&
C2*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-1)+&
C3*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3) )+&
C4*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+1)+&
C5*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+2)+&
C6*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+3)
tmp1= C1*tmp2(:,1)+C2*tmp2(:,2)+C3*tmp2(:,3)+C4*tmp2(:,4)+C5*tmp2(:,5)+C6*tmp2(:,6)
funf(i,j,k)= C1*tmp1(1)+C2*tmp1(2)+C3*tmp1(3)+C4*tmp1(4)+C5*tmp1(5)+C6*tmp1(6)
else
tmp2= C6*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-2)+&
C5*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-1)+&
C4*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3) )+&
C3*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+1)+&
C2*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+2)+&
C1*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+3)
tmp1= C1*tmp2(:,1)+C2*tmp2(:,2)+C3*tmp2(:,3)+C4*tmp2(:,4)+C5*tmp2(:,5)+C6*tmp2(:,6)
funf(i,j,k)= C1*tmp1(1)+C2*tmp1(2)+C3*tmp1(3)+C4*tmp1(4)+C5*tmp1(5)+C6*tmp1(6)
endif
else
if(kk/2*2==kk)then
tmp2= C1*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-2)+&
C2*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-1)+&
C3*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3) )+&
C4*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+1)+&
C5*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+2)+&
C6*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+3)
tmp1= C6*tmp2(:,1)+C5*tmp2(:,2)+C4*tmp2(:,3)+C3*tmp2(:,4)+C2*tmp2(:,5)+C1*tmp2(:,6)
funf(i,j,k)= C1*tmp1(1)+C2*tmp1(2)+C3*tmp1(3)+C4*tmp1(4)+C5*tmp1(5)+C6*tmp1(6)
else
tmp2= C6*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-2)+&
C5*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-1)+&
C4*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3) )+&
C3*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+1)+&
C2*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+2)+&
C1*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+3)
tmp1= C6*tmp2(:,1)+C5*tmp2(:,2)+C4*tmp2(:,3)+C3*tmp2(:,4)+C2*tmp2(:,5)+C1*tmp2(:,6)
funf(i,j,k)= C1*tmp1(1)+C2*tmp1(2)+C3*tmp1(3)+C4*tmp1(4)+C5*tmp1(5)+C6*tmp1(6)
endif
endif
else
if(jj/2*2==jj)then
if(kk/2*2==kk)then
tmp2= C1*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-2)+&
C2*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-1)+&
C3*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3) )+&
C4*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+1)+&
C5*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+2)+&
C6*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+3)
tmp1= C1*tmp2(:,1)+C2*tmp2(:,2)+C3*tmp2(:,3)+C4*tmp2(:,4)+C5*tmp2(:,5)+C6*tmp2(:,6)
funf(i,j,k)= C6*tmp1(1)+C5*tmp1(2)+C4*tmp1(3)+C3*tmp1(4)+C2*tmp1(5)+C1*tmp1(6)
else
tmp2= C6*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-2)+&
C5*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-1)+&
C4*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3) )+&
C3*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+1)+&
C2*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+2)+&
C1*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+3)
tmp1= C1*tmp2(:,1)+C2*tmp2(:,2)+C3*tmp2(:,3)+C4*tmp2(:,4)+C5*tmp2(:,5)+C6*tmp2(:,6)
funf(i,j,k)= C6*tmp1(1)+C5*tmp1(2)+C4*tmp1(3)+C3*tmp1(4)+C2*tmp1(5)+C1*tmp1(6)
endif
else
if(kk/2*2==kk)then
tmp2= C1*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-2)+&
C2*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-1)+&
C3*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3) )+&
C4*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+1)+&
C5*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+2)+&
C6*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+3)
tmp1= C6*tmp2(:,1)+C5*tmp2(:,2)+C4*tmp2(:,3)+C3*tmp2(:,4)+C2*tmp2(:,5)+C1*tmp2(:,6)
funf(i,j,k)= C6*tmp1(1)+C5*tmp1(2)+C4*tmp1(3)+C3*tmp1(4)+C2*tmp1(5)+C1*tmp1(6)
else
tmp2= C6*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-2)+&
C5*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-1)+&
C4*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3) )+&
C3*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+1)+&
C2*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+2)+&
C1*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+3)
tmp1= C6*tmp2(:,1)+C5*tmp2(:,2)+C4*tmp2(:,3)+C3*tmp2(:,4)+C2*tmp2(:,5)+C1*tmp2(:,6)
funf(i,j,k)= C6*tmp1(1)+C5*tmp1(2)+C4*tmp1(3)+C3*tmp1(4)+C2*tmp1(5)+C1*tmp1(6)
endif
endif
endif
#else
if(kk/2*2==kk)then
tmp2= C1*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-2)+&
C2*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-1)+&
C3*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3) )+&
C4*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+1)+&
C5*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+2)+&
C6*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+3)
else
tmp2= C6*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-2)+&
C5*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-1)+&
C4*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3) )+&
C3*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+1)+&
C2*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+2)+&
C1*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+3)
endif
if(jj/2*2==jj)then
tmp1= C1*tmp2(:,1)+C2*tmp2(:,2)+C3*tmp2(:,3)+C4*tmp2(:,4)+C5*tmp2(:,5)+C6*tmp2(:,6)
else
tmp1= C6*tmp2(:,1)+C5*tmp2(:,2)+C4*tmp2(:,3)+C3*tmp2(:,4)+C2*tmp2(:,5)+C1*tmp2(:,6)
endif
if(ii/2*2==ii)then
funf(i,j,k)= C1*tmp1(1)+C2*tmp1(2)+C3*tmp1(3)+C4*tmp1(4)+C5*tmp1(5)+C6*tmp1(6)
else
funf(i,j,k)= C6*tmp1(1)+C5*tmp1(2)+C4*tmp1(3)+C3*tmp1(4)+C2*tmp1(5)+C1*tmp1(6)
endif
#endif
enddo
enddo
kk = k + lbf(3) - 1
ciz(k) = kk/2 - lbc(3) + 1
if(kk/2*2 == kk)then
piz(k) = 1
else
piz(k) = 2
endif
enddo
ic_min = minval(cix(imino:imaxo))
ic_max = maxval(cix(imino:imaxo))
jc_min = minval(ciy(jmino:jmaxo))
jc_max = maxval(ciy(jmino:jmaxo))
kc_min = minval(ciz(kmino:kmaxo))
kc_max = maxval(ciz(kmino:kmaxo))
maxcx = ic_max
maxcy = jc_max
maxcz = kc_max
if(maxcx+3 > extc(1) .or. maxcy+3 > extc(2) .or. maxcz+3 > extc(3))then
write(*,*)"error in prolong"
return
endif
i_lo = ic_min - 2
i_hi = ic_max + 3
j_lo = jc_min - 2
j_hi = jc_max + 3
k_lo = kc_min - 2
k_hi = kc_max + 3
need_full_symmetry = (i_lo < 1) .or. (j_lo < 1) .or. (k_lo < 1)
if(need_full_symmetry)then
call symmetry_bd(3,extc,func,funcc,SoA)
else
funcc(i_lo:i_hi,j_lo:j_hi,k_lo:k_hi) = func(i_lo:i_hi,j_lo:j_hi,k_lo:k_hi)
endif
! kpz, kc Z 2D
do k = kmino, kmaxo
pz = piz(k); kc = ciz(k)
! --- Pass 1: Z ---
do iy = jc_min-2, jc_max+3 ! iy jc-2:jc+3
do ii = ic_min-2, ic_max+3 ! ii cix-2:cix+3
tmp_z_slab(ii, iy) = sum(WC(:,pz) * funcc(ii, iy, kc-2:kc+3))
end do
end do
do j = jmino, jmaxo
py = piy(j); jc = ciy(j)
! --- Pass 2: Y ---
do ii = ic_min-2, ic_max+3
tmp_xyz_line(ii) = sum(WC(:,py) * tmp_z_slab(ii, jc-2:jc+3))
end do
! --- Pass 3: X ---
do i = imino, imaxo
funf(i,j,k) = sum(WC(:,pix(i)) * tmp_xyz_line(cix(i)-2:cix(i)+3))
end do
end do
end do
!~~~~~~> prolongation start...
#if 0
do k = kmino, kmaxo
pz = piz(k)
kc = ciz(k)
do j = jmino, jmaxo
py = piy(j)
jc = ciy(j)
! --- 1 & 2 X Cache ---
! ii funcc 访
do ii = 1, extc(1)
! 1. Z 6 线 ii 6 iy
! Y tmp_yz
! funcc
res_line = 0.0d0
do jj = 1, 6
iy = jc - 3 + jj
! Z Y
! WC(jj, py)
res_line = res_line + WC(jj, py) * ( &
WC(1, pz) * funcc(ii, iy, kc-2) + &
WC(2, pz) * funcc(ii, iy, kc-1) + &
WC(3, pz) * funcc(ii, iy, kc ) + &
WC(4, pz) * funcc(ii, iy, kc+1) + &
WC(5, pz) * funcc(ii, iy, kc+2) + &
WC(6, pz) * funcc(ii, iy, kc+3) )
end do
tmp_xyz_line(ii) = res_line
end do
! 3. X X 6
! 200+ 6
do i = imino, imaxo
px = pix(i)
ic = cix(i)
! line 6
! ic-2 ic+3 6
funf(i,j,k) = WC(1,px)*tmp_xyz_line(ic-2) + &
WC(2,px)*tmp_xyz_line(ic-1) + &
WC(3,px)*tmp_xyz_line(ic ) + &
WC(4,px)*tmp_xyz_line(ic+1) + &
WC(5,px)*tmp_xyz_line(ic+2) + &
WC(6,px)*tmp_xyz_line(ic+3)
end do
end do
end do
#endif
return
end subroutine prolong3
@@ -2357,7 +2369,14 @@
integer::imino,imaxo,jmino,jmaxo,kmino,kmaxo
real*8,dimension(3) :: CD,FD
real*8 :: tmp_xz_plane(-1:extf(1), 6)
real*8 :: tmp_x_line(-1:extf(1))
integer :: fi, fj, fk, ii, jj, kk
integer :: fi_min, fi_max, ii_lo, ii_hi
integer :: fj_min, fj_max, fk_min, fk_max, jj_lo, jj_hi, kk_lo, kk_hi
logical :: need_full_symmetry
if(wei.ne.3)then
write(*,*)"prolongrestrict.f90::restrict3: this routine only surport 3 dimension"
write(*,*)"dim = ",wei
@@ -2436,9 +2455,86 @@
stop
endif
call symmetry_bd(2,extf,funf,funff,SoA)
! X
! func(i,j,k) 访 tmp_x_line(fi-2:fi+3)
fi_min = 2*(imino + lbc(1) - 1) - 1 - lbf(1) + 1
fi_max = 2*(imaxo + lbc(1) - 1) - 1 - lbf(1) + 1
fj_min = 2*(jmino + lbc(2) - 1) - 1 - lbf(2) + 1
fj_max = 2*(jmaxo + lbc(2) - 1) - 1 - lbf(2) + 1
fk_min = 2*(kmino + lbc(3) - 1) - 1 - lbf(3) + 1
fk_max = 2*(kmaxo + lbc(3) - 1) - 1 - lbf(3) + 1
ii_lo = fi_min - 2
ii_hi = fi_max + 3
jj_lo = fj_min - 2
jj_hi = fj_max + 3
kk_lo = fk_min - 2
kk_hi = fk_max + 3
if(ii_lo < -1 .or. ii_hi > extf(1) .or. &
jj_lo < -1 .or. jj_hi > extf(2) .or. &
kk_lo < -1 .or. kk_hi > extf(3))then
write(*,*)"restrict3: invalid stencil window"
write(*,*)"ii=",ii_lo,ii_hi," jj=",jj_lo,jj_hi," kk=",kk_lo,kk_hi
write(*,*)"extf=",extf
stop
endif
need_full_symmetry = (ii_lo < 1) .or. (jj_lo < 1) .or. (kk_lo < 1)
if(need_full_symmetry)then
call symmetry_bd(2,extf,funf,funff,SoA)
else
funff(ii_lo:ii_hi,jj_lo:jj_hi,kk_lo:kk_hi) = funf(ii_lo:ii_hi,jj_lo:jj_hi,kk_lo:kk_hi)
endif
!~~~~~~> restriction start...
do k = kmino, kmaxo
fk = 2*(k + lbc(3) - 1) - 1 - lbf(3) + 1
do j = jmino, jmaxo
fj = 2*(j + lbc(2) - 1) - 1 - lbf(2) + 1
! 1: Z
! ii 访
!DIR$ VECTOR ALWAYS
do ii = ii_lo, ii_hi
! j 6 Z
! jj
tmp_xz_plane(ii, 1) = C1*(funff(ii,fj-2,fk-2)+funff(ii,fj-2,fk+3)) + &
C2*(funff(ii,fj-2,fk-1)+funff(ii,fj-2,fk+2)) + &
C3*(funff(ii,fj-2,fk )+funff(ii,fj-2,fk+1))
tmp_xz_plane(ii, 2) = C1*(funff(ii,fj-1,fk-2)+funff(ii,fj-1,fk+3)) + &
C2*(funff(ii,fj-1,fk-1)+funff(ii,fj-1,fk+2)) + &
C3*(funff(ii,fj-1,fk )+funff(ii,fj-1,fk+1))
tmp_xz_plane(ii, 3) = C1*(funff(ii,fj ,fk-2)+funff(ii,fj ,fk+3)) + &
C2*(funff(ii,fj ,fk-1)+funff(ii,fj ,fk+2)) + &
C3*(funff(ii,fj ,fk )+funff(ii,fj ,fk+1))
tmp_xz_plane(ii, 4) = C1*(funff(ii,fj+1,fk-2)+funff(ii,fj+1,fk+3)) + &
C2*(funff(ii,fj+1,fk-1)+funff(ii,fj+1,fk+2)) + &
C3*(funff(ii,fj+1,fk )+funff(ii,fj+1,fk+1))
tmp_xz_plane(ii, 5) = C1*(funff(ii,fj+2,fk-2)+funff(ii,fj+2,fk+3)) + &
C2*(funff(ii,fj+2,fk-1)+funff(ii,fj+2,fk+2)) + &
C3*(funff(ii,fj+2,fk )+funff(ii,fj+2,fk+1))
tmp_xz_plane(ii, 6) = C1*(funff(ii,fj+3,fk-2)+funff(ii,fj+3,fk+3)) + &
C2*(funff(ii,fj+3,fk-1)+funff(ii,fj+3,fk+2)) + &
C3*(funff(ii,fj+3,fk )+funff(ii,fj+3,fk+1))
end do
! 2: Y
!DIR$ VECTOR ALWAYS
do ii = ii_lo, ii_hi
tmp_x_line(ii) = C1*(tmp_xz_plane(ii, 1) + tmp_xz_plane(ii, 6)) + &
C2*(tmp_xz_plane(ii, 2) + tmp_xz_plane(ii, 5)) + &
C3*(tmp_xz_plane(ii, 3) + tmp_xz_plane(ii, 4))
end do
! 3: tmp_x_line
do i = imino, imaxo
fi = 2*(i + lbc(1) - 1) - 1 - lbf(1) + 1
func(i, j, k) = C1*(tmp_x_line(fi-2) + tmp_x_line(fi+3)) + &
C2*(tmp_x_line(fi-1) + tmp_x_line(fi+2)) + &
C3*(tmp_x_line(fi ) + tmp_x_line(fi+1))
end do
end do
end do
#if 0
do k = kmino,kmaxo
do j = jmino,jmaxo
do i = imino,imaxo
@@ -2462,7 +2558,7 @@
enddo
enddo
enddo
#endif
return
end subroutine restrict3
+212
View File
@@ -0,0 +1,212 @@
#include "rungekutta4_rout.h"
#include <cstdio>
#include <cstdlib>
#include <cstddef>
#include <complex>
#include <immintrin.h>
namespace {
inline void rk4_stage0(std::size_t n,
const double *__restrict f0,
const double *__restrict frhs,
double *__restrict f1,
double c) {
std::size_t i = 0;
#if defined(__AVX512F__)
const __m512d vc = _mm512_set1_pd(c);
for (; i + 7 < n; i += 8) {
const __m512d v0 = _mm512_loadu_pd(f0 + i);
const __m512d vr = _mm512_loadu_pd(frhs + i);
_mm512_storeu_pd(f1 + i, _mm512_fmadd_pd(vc, vr, v0));
}
#elif defined(__AVX2__)
const __m256d vc = _mm256_set1_pd(c);
for (; i + 3 < n; i += 4) {
const __m256d v0 = _mm256_loadu_pd(f0 + i);
const __m256d vr = _mm256_loadu_pd(frhs + i);
_mm256_storeu_pd(f1 + i, _mm256_fmadd_pd(vc, vr, v0));
}
#endif
#pragma ivdep
for (; i < n; ++i) {
f1[i] = f0[i] + c * frhs[i];
}
}
inline void rk4_rhs_accum(std::size_t n,
const double *__restrict f1,
double *__restrict frhs) {
std::size_t i = 0;
#if defined(__AVX512F__)
const __m512d v2 = _mm512_set1_pd(2.0);
for (; i + 7 < n; i += 8) {
const __m512d v1 = _mm512_loadu_pd(f1 + i);
const __m512d vrhs = _mm512_loadu_pd(frhs + i);
_mm512_storeu_pd(frhs + i, _mm512_fmadd_pd(v2, v1, vrhs));
}
#elif defined(__AVX2__)
const __m256d v2 = _mm256_set1_pd(2.0);
for (; i + 3 < n; i += 4) {
const __m256d v1 = _mm256_loadu_pd(f1 + i);
const __m256d vrhs = _mm256_loadu_pd(frhs + i);
_mm256_storeu_pd(frhs + i, _mm256_fmadd_pd(v2, v1, vrhs));
}
#endif
#pragma ivdep
for (; i < n; ++i) {
frhs[i] = frhs[i] + 2.0 * f1[i];
}
}
inline void rk4_f1_from_f0_f1(std::size_t n,
const double *__restrict f0,
double *__restrict f1,
double c) {
std::size_t i = 0;
#if defined(__AVX512F__)
const __m512d vc = _mm512_set1_pd(c);
for (; i + 7 < n; i += 8) {
const __m512d v0 = _mm512_loadu_pd(f0 + i);
const __m512d v1 = _mm512_loadu_pd(f1 + i);
_mm512_storeu_pd(f1 + i, _mm512_fmadd_pd(vc, v1, v0));
}
#elif defined(__AVX2__)
const __m256d vc = _mm256_set1_pd(c);
for (; i + 3 < n; i += 4) {
const __m256d v0 = _mm256_loadu_pd(f0 + i);
const __m256d v1 = _mm256_loadu_pd(f1 + i);
_mm256_storeu_pd(f1 + i, _mm256_fmadd_pd(vc, v1, v0));
}
#endif
#pragma ivdep
for (; i < n; ++i) {
f1[i] = f0[i] + c * f1[i];
}
}
inline void rk4_stage3(std::size_t n,
const double *__restrict f0,
double *__restrict f1,
const double *__restrict frhs,
double c) {
std::size_t i = 0;
#if defined(__AVX512F__)
const __m512d vc = _mm512_set1_pd(c);
for (; i + 7 < n; i += 8) {
const __m512d v0 = _mm512_loadu_pd(f0 + i);
const __m512d v1 = _mm512_loadu_pd(f1 + i);
const __m512d vr = _mm512_loadu_pd(frhs + i);
_mm512_storeu_pd(f1 + i, _mm512_fmadd_pd(vc, _mm512_add_pd(v1, vr), v0));
}
#elif defined(__AVX2__)
const __m256d vc = _mm256_set1_pd(c);
for (; i + 3 < n; i += 4) {
const __m256d v0 = _mm256_loadu_pd(f0 + i);
const __m256d v1 = _mm256_loadu_pd(f1 + i);
const __m256d vr = _mm256_loadu_pd(frhs + i);
_mm256_storeu_pd(f1 + i, _mm256_fmadd_pd(vc, _mm256_add_pd(v1, vr), v0));
}
#endif
#pragma ivdep
for (; i < n; ++i) {
f1[i] = f0[i] + c * (f1[i] + frhs[i]);
}
}
} // namespace
extern "C" {
void f_rungekutta4_scalar(double &dT, double &f0, double &f1, double &f_rhs, int &RK4) {
constexpr double F1o6 = 1.0 / 6.0;
constexpr double HLF = 0.5;
constexpr double TWO = 2.0;
switch (RK4) {
case 0:
f1 = f0 + HLF * dT * f_rhs;
break;
case 1:
f_rhs = f_rhs + TWO * f1;
f1 = f0 + HLF * dT * f1;
break;
case 2:
f_rhs = f_rhs + TWO * f1;
f1 = f0 + dT * f1;
break;
case 3:
f1 = f0 + F1o6 * dT * (f1 + f_rhs);
break;
default:
std::fprintf(stderr, "rungekutta4_scalar_c: invalid RK4 stage %d\n", RK4);
std::abort();
}
}
void rungekutta4_cplxscalar_(double &dT,
std::complex<double> &f0,
std::complex<double> &f1,
std::complex<double> &f_rhs,
int &RK4) {
constexpr double F1o6 = 1.0 / 6.0;
constexpr double HLF = 0.5;
constexpr double TWO = 2.0;
switch (RK4) {
case 0:
f1 = f0 + HLF * dT * f_rhs;
break;
case 1:
f_rhs = f_rhs + TWO * f1;
f1 = f0 + HLF * dT * f1;
break;
case 2:
f_rhs = f_rhs + TWO * f1;
f1 = f0 + dT * f1;
break;
case 3:
f1 = f0 + F1o6 * dT * (f1 + f_rhs);
break;
default:
std::fprintf(stderr, "rungekutta4_cplxscalar_c: invalid RK4 stage %d\n", RK4);
std::abort();
}
}
int f_rungekutta4_rout(int *ex, double &dT,
double *f0, double *f1, double *f_rhs,
int &RK4) {
const std::size_t n = static_cast<std::size_t>(ex[0]) *
static_cast<std::size_t>(ex[1]) *
static_cast<std::size_t>(ex[2]);
const double *const __restrict f0r = f0;
double *const __restrict f1r = f1;
double *const __restrict frhs = f_rhs;
if (__builtin_expect(static_cast<unsigned>(RK4) > 3u, 0)) {
std::fprintf(stderr, "rungekutta4_rout_c: invalid RK4 stage %d\n", RK4);
std::abort();
}
switch (RK4) {
case 0:
rk4_stage0(n, f0r, frhs, f1r, 0.5 * dT);
break;
case 1:
rk4_rhs_accum(n, f1r, frhs);
rk4_f1_from_f0_f1(n, f0r, f1r, 0.5 * dT);
break;
case 2:
rk4_rhs_accum(n, f1r, frhs);
rk4_f1_from_f0_f1(n, f0r, f1r, dT);
break;
default:
rk4_stage3(n, f0r, f1r, frhs, (1.0 / 6.0) * dT);
break;
}
return 0;
}
} // extern "C"
+146 -46
View File
@@ -5,6 +5,7 @@
#include <stddef.h>
#include <math.h>
#include <stdio.h>
#include <string.h>
/* 主网格:0-based -> 1D */
static inline size_t idx_ex(int i0, int j0, int k0, const int ex[3]) {
const int ex1 = ex[0], ex2 = ex[1];
@@ -87,60 +88,159 @@ static inline size_t idx_funcc_F(int iF, int jF, int kF, int ord, const int extc
* funcc(:,:,-i) = funcc(:,:,i+1)*SoA(3)
* enddo
*/
static inline void symmetry_bd_impl(int ord,
int shift,
const int extc[3],
const double *__restrict func,
double *__restrict funcc,
const double SoA[3])
{
const int extc1 = extc[0], extc2 = extc[1], extc3 = extc[2];
const int nx = extc1 + ord;
const int ny = extc2 + ord;
const size_t snx = (size_t)nx;
const size_t splane = (size_t)nx * (size_t)ny;
const size_t interior_i = (size_t)shift + 1u; /* iF = 1 */
const size_t interior_j = ((size_t)shift + 1u) * snx; /* jF = 1 */
const size_t interior_k = ((size_t)shift + 1u) * splane; /* kF = 1 */
const size_t interior0 = interior_k + interior_j + interior_i;
/* 1) funcc(1:extc1,1:extc2,1:extc3) = func */
for (int k0 = 0; k0 < extc3; ++k0) {
const double *src_k = func + (size_t)k0 * (size_t)extc2 * (size_t)extc1;
const size_t dst_k0 = interior0 + (size_t)k0 * splane;
for (int j0 = 0; j0 < extc2; ++j0) {
const double *src = src_k + (size_t)j0 * (size_t)extc1;
double *dst = funcc + dst_k0 + (size_t)j0 * snx;
memcpy(dst, src, (size_t)extc1 * sizeof(double));
}
}
/* 2) funcc(-i,1:extc2,1:extc3) = funcc(i+1,1:extc2,1:extc3)*SoA(1) */
const double s1 = SoA[0];
if (s1 == 1.0) {
for (int ii = 0; ii < ord; ++ii) {
const size_t dst_i = (size_t)(shift - ii);
const size_t src_i = (size_t)(shift + ii + 1);
for (int k0 = 0; k0 < extc3; ++k0) {
const size_t kbase = interior_k + (size_t)k0 * splane + interior_j;
for (int j0 = 0; j0 < extc2; ++j0) {
const size_t off = kbase + (size_t)j0 * snx;
funcc[off + dst_i] = funcc[off + src_i];
}
}
}
} else if (s1 == -1.0) {
for (int ii = 0; ii < ord; ++ii) {
const size_t dst_i = (size_t)(shift - ii);
const size_t src_i = (size_t)(shift + ii + 1);
for (int k0 = 0; k0 < extc3; ++k0) {
const size_t kbase = interior_k + (size_t)k0 * splane + interior_j;
for (int j0 = 0; j0 < extc2; ++j0) {
const size_t off = kbase + (size_t)j0 * snx;
funcc[off + dst_i] = -funcc[off + src_i];
}
}
}
} else {
for (int ii = 0; ii < ord; ++ii) {
const size_t dst_i = (size_t)(shift - ii);
const size_t src_i = (size_t)(shift + ii + 1);
for (int k0 = 0; k0 < extc3; ++k0) {
const size_t kbase = interior_k + (size_t)k0 * splane + interior_j;
for (int j0 = 0; j0 < extc2; ++j0) {
const size_t off = kbase + (size_t)j0 * snx;
funcc[off + dst_i] = funcc[off + src_i] * s1;
}
}
}
}
/* 3) funcc(:,-j,1:extc3) = funcc(:,j+1,1:extc3)*SoA(2) */
const double s2 = SoA[1];
if (s2 == 1.0) {
for (int jj = 0; jj < ord; ++jj) {
const size_t dst_j = (size_t)(shift - jj) * snx;
const size_t src_j = (size_t)(shift + jj + 1) * snx;
for (int k0 = 0; k0 < extc3; ++k0) {
const size_t kbase = interior_k + (size_t)k0 * splane;
double *dst = funcc + kbase + dst_j;
const double *src = funcc + kbase + src_j;
for (int i = 0; i < nx; ++i) dst[i] = src[i];
}
}
} else if (s2 == -1.0) {
for (int jj = 0; jj < ord; ++jj) {
const size_t dst_j = (size_t)(shift - jj) * snx;
const size_t src_j = (size_t)(shift + jj + 1) * snx;
for (int k0 = 0; k0 < extc3; ++k0) {
const size_t kbase = interior_k + (size_t)k0 * splane;
double *dst = funcc + kbase + dst_j;
const double *src = funcc + kbase + src_j;
for (int i = 0; i < nx; ++i) dst[i] = -src[i];
}
}
} else {
for (int jj = 0; jj < ord; ++jj) {
const size_t dst_j = (size_t)(shift - jj) * snx;
const size_t src_j = (size_t)(shift + jj + 1) * snx;
for (int k0 = 0; k0 < extc3; ++k0) {
const size_t kbase = interior_k + (size_t)k0 * splane;
double *dst = funcc + kbase + dst_j;
const double *src = funcc + kbase + src_j;
for (int i = 0; i < nx; ++i) dst[i] = src[i] * s2;
}
}
}
/* 4) funcc(:,:,-k) = funcc(:,:,k+1)*SoA(3) */
const double s3 = SoA[2];
if (s3 == 1.0) {
for (int kk = 0; kk < ord; ++kk) {
const size_t dst_k = (size_t)(shift - kk) * splane;
const size_t src_k = (size_t)(shift + kk + 1) * splane;
double *dst = funcc + dst_k;
const double *src = funcc + src_k;
for (size_t p = 0; p < splane; ++p) dst[p] = src[p];
}
} else if (s3 == -1.0) {
for (int kk = 0; kk < ord; ++kk) {
const size_t dst_k = (size_t)(shift - kk) * splane;
const size_t src_k = (size_t)(shift + kk + 1) * splane;
double *dst = funcc + dst_k;
const double *src = funcc + src_k;
for (size_t p = 0; p < splane; ++p) dst[p] = -src[p];
}
} else {
for (int kk = 0; kk < ord; ++kk) {
const size_t dst_k = (size_t)(shift - kk) * splane;
const size_t src_k = (size_t)(shift + kk + 1) * splane;
double *dst = funcc + dst_k;
const double *src = funcc + src_k;
for (size_t p = 0; p < splane; ++p) dst[p] = src[p] * s3;
}
}
}
static inline void symmetry_bd(int ord,
const int extc[3],
const double *func,
double *funcc,
const double SoA[3])
{
const int extc1 = extc[0], extc2 = extc[1], extc3 = extc[2];
if (ord <= 0) return;
// 1) funcc(1:extc1,1:extc2,1:extc3) = func
// Fortran 的 (iF=1..extc1) 对应 C 的 func(i0=0..extc1-1)
for (int k0 = 0; k0 < extc3; ++k0) {
for (int j0 = 0; j0 < extc2; ++j0) {
for (int i0 = 0; i0 < extc1; ++i0) {
const int iF = i0 + 1, jF = j0 + 1, kF = k0 + 1;
funcc[idx_funcc_F(iF, jF, kF, ord, extc)] = func[idx_func0(i0, j0, k0, extc)];
}
}
/* Fast paths used by current C kernels: ord=2 (derivs), ord=3 (lopsided/KO). */
if (ord == 2) {
symmetry_bd_impl(2, 1, extc, func, funcc, SoA);
return;
}
if (ord == 3) {
symmetry_bd_impl(3, 2, extc, func, funcc, SoA);
return;
}
// 2) do i=0..ord-1: funcc(-i, 1:extc2, 1:extc3) = funcc(i+1, ...)*SoA(1)
for (int ii = 0; ii <= ord - 1; ++ii) {
const int iF_dst = -ii; // 0, -1, -2, ...
const int iF_src = ii + 1; // 1, 2, 3, ...
for (int kF = 1; kF <= extc3; ++kF) {
for (int jF = 1; jF <= extc2; ++jF) {
funcc[idx_funcc_F(iF_dst, jF, kF, ord, extc)] =
funcc[idx_funcc_F(iF_src, jF, kF, ord, extc)] * SoA[0];
}
}
}
// 3) do i=0..ord-1: funcc(:,-i, 1:extc3) = funcc(:, i+1, 1:extc3)*SoA(2)
// 注意 Fortran 这里的 ":" 表示 iF 从 (-ord+1..extc1) 全覆盖
for (int jj = 0; jj <= ord - 1; ++jj) {
const int jF_dst = -jj;
const int jF_src = jj + 1;
for (int kF = 1; kF <= extc3; ++kF) {
for (int iF = -ord + 1; iF <= extc1; ++iF) {
funcc[idx_funcc_F(iF, jF_dst, kF, ord, extc)] =
funcc[idx_funcc_F(iF, jF_src, kF, ord, extc)] * SoA[1];
}
}
}
// 4) do i=0..ord-1: funcc(:,:,-i) = funcc(:,:, i+1)*SoA(3)
for (int kk = 0; kk <= ord - 1; ++kk) {
const int kF_dst = -kk;
const int kF_src = kk + 1;
for (int jF = -ord + 1; jF <= extc2; ++jF) {
for (int iF = -ord + 1; iF <= extc1; ++iF) {
funcc[idx_funcc_F(iF, jF, kF_dst, ord, extc)] =
funcc[idx_funcc_F(iF, jF, kF_src, ord, extc)] * SoA[2];
}
}
}
symmetry_bd_impl(ord, ord - 1, extc, func, funcc, SoA);
}
#endif
File diff suppressed because it is too large Load Diff
+59 -38
View File
@@ -27,24 +27,29 @@ using namespace std;
class surface_integral
{
private:
int Symmetry, factor;
int N_theta, N_phi; // Number of points in Theta & Phi directions
double dphi, dcostheta;
double *arcostheta, *wtcostheta;
int n_tot; // size of arrays
private:
int Symmetry, factor;
int N_theta, N_phi; // Number of points in Theta & Phi directions
double dphi, dcostheta;
double *arcostheta, *wtcostheta;
int n_tot; // size of arrays
double *nx_g, *ny_g, *nz_g; // global list of unit normals
int myrank, cpusize;
int wave_cache_spinw, wave_cache_maxl, wave_cache_modes;
double *wave_theta_pos, *wave_theta_neg;
double *wave_phi_cos, *wave_phi_sin;
void clear_wave_cache();
void build_wave_cache(int spinw, int maxl);
public:
surface_integral(int iSymmetry);
~surface_integral();
double *nx_g, *ny_g, *nz_g; // global list of unit normals
int myrank, cpusize;
public:
surface_integral(int iSymmetry);
~surface_integral();
void surf_Wave(double rex, int lev, cgh *GH, var *Rpsi4, var *Ipsi4,
int spinw, int maxl, int NN, double *RP, double *IP,
monitor *Monitor); // NN is the length of RP and IP
// this routine can only deal with the symmetry of Psi4
void surf_Wave(double rex, int lev, cgh *GH, var *Rpsi4, var *Ipsi4,
int spinw, int maxl, int NN, double *RP, double *IP,
monitor *Monitor); // NN is the length of RP and IP
// this routine can only deal with the symmetry of Psi4
void surf_Wave(double rex, int lev, ShellPatch *GH, var *Rpsi4, var *Ipsi4,
int spinw, int maxl, int NN, double *RP, double *IP,
monitor *Monitor);
@@ -77,21 +82,37 @@ public:
double &, double &, double &, double &, double &, double &, double &,
double &, double &, double &, double &, double &, double &,
double &, double &)); // NN is the length of RP and IP
void surf_MassPAng(double rex, int lev, cgh *GH, var *chi, var *trK,
var *gxx, var *gxy, var *gxz, var *gyy, var *gyz, var *gzz,
var *Axx, var *Axy, var *Axz, var *Ayy, var *Ayz, var *Azz,
var *Gmx, var *Gmy, var *Gmz,
var *Sfx_rhs, var *Sfy_rhs, var *Sfz_rhs,
double *Rout, monitor *Monitor);
void surf_MassPAng(double rex, int lev, ShellPatch *GH, var *chi, var *trK,
var *gxx, var *gxy, var *gxz, var *gyy, var *gyz, var *gzz,
var *Axx, var *Axy, var *Axz, var *Ayy, var *Ayz, var *Azz,
var *Gmx, var *Gmy, var *Gmz,
var *Sfx_rhs, var *Sfy_rhs, var *Sfz_rhs,
double *Rout, monitor *Monitor);
void surf_Wave(double rex, cgh *GH, ShellPatch *SH,
var *chi, var *trK,
var *gxx, var *gxy, var *gxz, var *gyy, var *gyz, var *gzz,
void surf_MassPAng(double rex, int lev, cgh *GH, var *chi, var *trK,
var *gxx, var *gxy, var *gxz, var *gyy, var *gyz, var *gzz,
var *Axx, var *Axy, var *Axz, var *Ayy, var *Ayz, var *Azz,
var *Gmx, var *Gmy, var *Gmz,
var *Sfx_rhs, var *Sfy_rhs, var *Sfz_rhs,
double *Rout, monitor *Monitor, bool refresh_mass_fields = true);
void surf_MassPAng(double rex, int lev, ShellPatch *GH, var *chi, var *trK,
var *gxx, var *gxy, var *gxz, var *gyy, var *gyz, var *gzz,
var *Axx, var *Axy, var *Axz, var *Ayy, var *Ayz, var *Azz,
var *Gmx, var *Gmy, var *Gmz,
var *Sfx_rhs, var *Sfy_rhs, var *Sfz_rhs,
double *Rout, monitor *Monitor, bool refresh_mass_fields = true);
void surf_WaveMassPAng(double rex, int lev, cgh *GH,
var *Rpsi4, var *Ipsi4, int spinw, int maxl, int NN, double *RP, double *IP,
var *chi, var *trK,
var *gxx, var *gxy, var *gxz, var *gyy, var *gyz, var *gzz,
var *Axx, var *Axy, var *Axz, var *Ayy, var *Ayz, var *Azz,
var *Gmx, var *Gmy, var *Gmz,
var *Sfx_rhs, var *Sfy_rhs, var *Sfz_rhs,
double *Rout, monitor *Monitor, bool refresh_mass_fields = true);
void surf_WaveMassPAng(double rex, int lev, ShellPatch *GH,
var *Rpsi4, var *Ipsi4, int spinw, int maxl, int NN, double *RP, double *IP,
var *chi, var *trK,
var *gxx, var *gxy, var *gxz, var *gyy, var *gyz, var *gzz,
var *Axx, var *Axy, var *Axz, var *Ayy, var *Ayz, var *Azz,
var *Gmx, var *Gmy, var *Gmz,
var *Sfx_rhs, var *Sfy_rhs, var *Sfz_rhs,
double *Rout, monitor *Monitor, bool refresh_mass_fields = true);
void surf_Wave(double rex, cgh *GH, ShellPatch *SH,
var *chi, var *trK,
var *gxx, var *gxy, var *gxz, var *gyy, var *gyz, var *gzz,
var *Axx, var *Axy, var *Axz, var *Ayy, var *Ayz, var *Azz,
var *chix, var *chiy, var *chiz,
var *trKx, var *trKy, var *trKz,
@@ -110,12 +131,12 @@ public:
bool SR_Interp_Points(MyList<var> *VarList, cgh *GH, ShellPatch *SH,
int NN, double **XX, double *Shellf);
void surf_MassPAng(double rex, int lev, cgh *GH, var *chi, var *trK,
var *gxx, var *gxy, var *gxz, var *gyy, var *gyz, var *gzz,
var *Axx, var *Axy, var *Axz, var *Ayy, var *Ayz, var *Azz,
var *Gmx, var *Gmy, var *Gmz,
var *Sfx_rhs, var *Sfy_rhs, var *Sfz_rhs, // temparay memory for mass^i
double *Rout, monitor *Monitor, MPI_Comm Comm_here);
void surf_MassPAng(double rex, int lev, cgh *GH, var *chi, var *trK,
var *gxx, var *gxy, var *gxz, var *gyy, var *gyz, var *gzz,
var *Axx, var *Axy, var *Axz, var *Ayy, var *Ayz, var *Azz,
var *Gmx, var *Gmy, var *Gmz,
var *Sfx_rhs, var *Sfy_rhs, var *Sfz_rhs, // temparay memory for mass^i
double *Rout, monitor *Monitor, MPI_Comm Comm_here, bool refresh_mass_fields = true);
void surf_Wave(double rex, int lev, cgh *GH, var *Rpsi4, var *Ipsi4,
int spinw, int maxl, int NN, double *RP, double *IP,
monitor *Monitor, MPI_Comm Comm_here);
+7 -1
View File
@@ -24,4 +24,10 @@ void lopsided(const int ex[3],
const double *X, const double *Y, const double *Z,
const double *f, double *f_rhs,
const double *Sfx, const double *Sfy, const double *Sfz,
int Symmetry, const double SoA[3]);
int Symmetry, const double SoA[3]);
void lopsided_kodis(const int ex[3],
const double *X, const double *Y, const double *Z,
const double *f, double *f_rhs,
const double *Sfx, const double *Sfy, const double *Sfz,
int Symmetry, const double SoA[3], double eps);
+725
View File
@@ -0,0 +1,725 @@
#include "macrodef.h"
#include "bssn_rhs.h"
#include "fmisc.h"
#include "ricci_gamma.h"
#include "share_func.h"
#include "tool.h"
#include <vector>
#ifdef fortran1
#define f_constraint_bssn constraint_bssn
#define f_z4c_rhs_point z4c_rhs_point
#endif
#ifdef fortran2
#define f_constraint_bssn CONSTRAINT_BSSN
#define f_z4c_rhs_point Z4C_RHS_POINT
#endif
#ifdef fortran3
#define f_constraint_bssn constraint_bssn_
#define f_z4c_rhs_point z4c_rhs_point_
#endif
extern "C" void f_constraint_bssn(int *, double *, double *, double *,
double *, double *,
double *, double *, double *, double *, double *, double *,
double *, double *, double *, double *, double *, double *,
double *, double *, double *,
double *, double *, double *, double *, double *, double *, double *, double *, double *, double *,
double *, double *, double *, double *, double *, double *,
double *, double *, double *, double *, double *, double *,
double *, double *, double *, double *, double *, double *,
double *, double *, double *, double *, double *, double *, double *, double *,
double *, double *, double *,
int &);
extern "C" void f_z4c_rhs_point(
double &A11,
double &A12,
double &A13,
double &A22,
double &A23,
double &A33,
double &alpha,
double &B1,
double &B2,
double &B3,
double &beta1,
double &beta2,
double &beta3,
double &chi,
double &chiDivFloor,
double &da1,
double &dA111,
double &dA112,
double &dA113,
double &dA122,
double &dA123,
double &dA133,
double &da2,
double &dA211,
double &dA212,
double &dA213,
double &dA222,
double &dA223,
double &dA233,
double &da3,
double &dA311,
double &dA312,
double &dA313,
double &dA322,
double &dA323,
double &dA333,
double &db11,
double &dB11,
double &db12,
double &dB12,
double &db13,
double &dB13,
double &db21,
double &dB21,
double &db22,
double &dB22,
double &db23,
double &dB23,
double &db31,
double &dB31,
double &db32,
double &dB32,
double &db33,
double &dB33,
double &dchi1,
double &dchi2,
double &dchi3,
double &dda11,
double &dda12,
double &dda13,
double &dda22,
double &dda23,
double &dda33,
double &ddb111,
double &ddb112,
double &ddb113,
double &ddb121,
double &ddb122,
double &ddb123,
double &ddb131,
double &ddb132,
double &ddb133,
double &ddb221,
double &ddb222,
double &ddb223,
double &ddb231,
double &ddb232,
double &ddb233,
double &ddb331,
double &ddb332,
double &ddb333,
double &ddchi11,
double &ddchi12,
double &ddchi13,
double &ddchi22,
double &ddchi23,
double &ddchi33,
double &deldelg1111,
double &deldelg1112,
double &deldelg1113,
double &deldelg1122,
double &deldelg1123,
double &deldelg1133,
double &deldelg1211,
double &deldelg1212,
double &deldelg1213,
double &deldelg1222,
double &deldelg1223,
double &deldelg1233,
double &deldelg1311,
double &deldelg1312,
double &deldelg1313,
double &deldelg1322,
double &deldelg1323,
double &deldelg1333,
double &deldelg2211,
double &deldelg2212,
double &deldelg2213,
double &deldelg2222,
double &deldelg2223,
double &deldelg2233,
double &deldelg2311,
double &deldelg2312,
double &deldelg2313,
double &deldelg2322,
double &deldelg2323,
double &deldelg2333,
double &deldelg3311,
double &deldelg3312,
double &deldelg3313,
double &deldelg3322,
double &deldelg3323,
double &deldelg3333,
double &delG11,
double &delg111,
double &delg112,
double &delg113,
double &delG12,
double &delg122,
double &delg123,
double &delG13,
double &delg133,
double &delG21,
double &delg211,
double &delg212,
double &delg213,
double &delG22,
double &delg222,
double &delg223,
double &delG23,
double &delg233,
double &delG31,
double &delg311,
double &delg312,
double &delg313,
double &delG32,
double &delg322,
double &delg323,
double &delG33,
double &delg333,
double &dKhat1,
double &dKhat2,
double &dKhat3,
double &dTheta1,
double &dTheta2,
double &dTheta3,
double &G1,
double &g11,
double &g12,
double &g13,
double &G2,
double &g22,
double &g23,
double &G3,
double &g33,
double &kappa1,
double &kappa2,
double &Khat,
double &rA11,
double &rA12,
double &rA13,
double &rA22,
double &rA23,
double &rA33,
double &rchi,
double &rG1,
double &rg11,
double &rg12,
double &rg13,
double &rG2,
double &rg22,
double &rg23,
double &rG3,
double &rg33,
double &rKhat,
double &rTheta,
double &Theta);
static inline void z4c_contract_gamma(
const double gxx, const double gxy, const double gxz,
const double gyy, const double gyz, const double gzz,
const double gxxx, const double gxyx, const double gxzx,
const double gyyx, const double gyzx, const double gzzx,
const double gxxy, const double gxyy, const double gxzy,
const double gyyy, const double gyzy, const double gzzy,
const double gxxz, const double gxyz, const double gxzz,
const double gyyz, const double gyzz, const double gzzz,
double &Gamxa, double &Gamya, double &Gamza)
{
double det = gxx * gyy * gzz + gxy * gyz * gxz + gxz * gxy * gyz -
gxz * gyy * gxz - gxy * gxy * gzz - gxx * gyz * gyz;
const double gupxx = (gyy * gzz - gyz * gyz) / det;
const double gupxy = -(gxy * gzz - gyz * gxz) / det;
const double gupxz = (gxy * gyz - gyy * gxz) / det;
const double gupyy = (gxx * gzz - gxz * gxz) / det;
const double gupyz = -(gxx * gyz - gxy * gxz) / det;
const double gupzz = (gxx * gyy - gxy * gxy) / det;
const double Gamxxx = 0.5 * (gupxx * gxxx + gupxy * (2.0 * gxyx - gxxy) + gupxz * (2.0 * gxzx - gxxz));
const double Gamyxx = 0.5 * (gupxy * gxxx + gupyy * (2.0 * gxyx - gxxy) + gupyz * (2.0 * gxzx - gxxz));
const double Gamzxx = 0.5 * (gupxz * gxxx + gupyz * (2.0 * gxyx - gxxy) + gupzz * (2.0 * gxzx - gxxz));
const double Gamxyy = 0.5 * (gupxx * (2.0 * gxyy - gyyx) + gupxy * gyyy + gupxz * (2.0 * gyzy - gyyz));
const double Gamyyy = 0.5 * (gupxy * (2.0 * gxyy - gyyx) + gupyy * gyyy + gupyz * (2.0 * gyzy - gyyz));
const double Gamzyy = 0.5 * (gupxz * (2.0 * gxyy - gyyx) + gupyz * gyyy + gupzz * (2.0 * gyzy - gyyz));
const double Gamxzz = 0.5 * (gupxx * (2.0 * gxzz - gzzx) + gupxy * (2.0 * gyzz - gzzy) + gupxz * gzzz);
const double Gamyzz = 0.5 * (gupxy * (2.0 * gxzz - gzzx) + gupyy * (2.0 * gyzz - gzzy) + gupyz * gzzz);
const double Gamzzz = 0.5 * (gupxz * (2.0 * gxzz - gzzx) + gupyz * (2.0 * gyzz - gzzy) + gupzz * gzzz);
const double Gamxxy = 0.5 * (gupxx * gxxy + gupxy * gyyx + gupxz * (gxzy + gyzx - gxyz));
const double Gamyxy = 0.5 * (gupxy * gxxy + gupyy * gyyx + gupyz * (gxzy + gyzx - gxyz));
const double Gamzxy = 0.5 * (gupxz * gxxy + gupyz * gyyx + gupzz * (gxzy + gyzx - gxyz));
const double Gamxxz = 0.5 * (gupxx * gxxz + gupxy * (gxyz + gyzx - gxzy) + gupxz * gzzx);
const double Gamyxz = 0.5 * (gupxy * gxxz + gupyy * (gxyz + gyzx - gxzy) + gupyz * gzzx);
const double Gamzxz = 0.5 * (gupxz * gxxz + gupyz * (gxyz + gyzx - gxzy) + gupzz * gzzx);
const double Gamxyz = 0.5 * (gupxx * (gxyz + gxzy - gyzx) + gupxy * gyyz + gupxz * gzzy);
const double Gamyyz = 0.5 * (gupxy * (gxyz + gxzy - gyzx) + gupyy * gyyz + gupyz * gzzy);
const double Gamzyz = 0.5 * (gupxz * (gxyz + gxzy - gyzx) + gupyz * gyyz + gupzz * gzzy);
Gamxa = gupxx * Gamxxx + gupyy * Gamxyy + gupzz * Gamxzz +
2.0 * (gupxy * Gamxxy + gupxz * Gamxxz + gupyz * Gamxyz);
Gamya = gupxx * Gamyxx + gupyy * Gamyyy + gupzz * Gamyzz +
2.0 * (gupxy * Gamyxy + gupxz * Gamyxz + gupyz * Gamyyz);
Gamza = gupxx * Gamzxx + gupyy * Gamzyy + gupzz * Gamzzz +
2.0 * (gupxy * Gamzxy + gupxz * Gamzxz + gupyz * Gamzyz);
}
static int compute_rhs_z4c_cartesian(
int *ex, double &T, double *X, double *Y, double *Z,
double *chi_state, double *chi_constraints, double *trK,
double *dxx, double *gxy, double *gxz, double *dyy, double *gyz, double *dzz,
double *Axx, double *Axy, double *Axz, double *Ayy, double *Ayz, double *Azz,
double *Gamx, double *Gamy, double *Gamz,
double *Lap, double *betax, double *betay, double *betaz,
double *dtSfx, double *dtSfy, double *dtSfz,
double *TZ,
double *chi_rhs, double *trK_rhs,
double *gxx_rhs, double *gxy_rhs, double *gxz_rhs, double *gyy_rhs, double *gyz_rhs, double *gzz_rhs,
double *Axx_rhs, double *Axy_rhs, double *Axz_rhs, double *Ayy_rhs, double *Ayz_rhs, double *Azz_rhs,
double *Gamx_rhs, double *Gamy_rhs, double *Gamz_rhs,
double *Lap_rhs, double *betax_rhs, double *betay_rhs, double *betaz_rhs,
double *dtSfx_rhs, double *dtSfy_rhs, double *dtSfz_rhs,
double *TZ_rhs,
double *rho, double *Sx, double *Sy, double *Sz,
double *Sxx, double *Sxy, double *Sxz, double *Syy, double *Syz, double *Szz,
double *Gamxxx, double *Gamxxy, double *Gamxxz, double *Gamxyy, double *Gamxyz, double *Gamxzz,
double *Gamyxx, double *Gamyxy, double *Gamyxz, double *Gamyyy, double *Gamyyz, double *Gamyzz,
double *Gamzxx, double *Gamzxy, double *Gamzxz, double *Gamzyy, double *Gamzyz, double *Gamzzz,
double *Rxx, double *Rxy, double *Rxz, double *Ryy, double *Ryz, double *Rzz,
double *Hcon, double *Mxcon, double *Mycon, double *Mzcon, double *Gmxcon, double *Gmycon, double *Gmzcon,
int &Symmetry, int &Lev, double &eps, int &co)
{
(void)T;
const int nx = ex[0];
const int ny = ex[1];
const int nz = ex[2];
const int all = nx * ny * nz;
double alpn1[all], chin1[all], gxx[all], gyy[all], gzz[all];
double chix[all], chiy[all], chiz[all], chixx[all], chixy[all], chixz[all], chiyy[all], chiyz[all], chizz[all];
double gxxx[all], gxyx[all], gxzx[all], gyyx[all], gyzx[all], gzzx[all];
double gxxy[all], gxyy[all], gxzy[all], gyyy[all], gyzy[all], gzzy[all];
double gxxz[all], gxyz[all], gxzz[all], gyyz[all], gyzz[all], gzzz[all];
double gxxxx[all], gxxxy[all], gxxxz[all], gxxyy[all], gxxyz[all], gxxzz[all];
double gxyxx[all], gxyxy[all], gxyxz[all], gxyyy[all], gxyyz[all], gxyzz[all];
double gxzxx[all], gxzxy[all], gxzxz[all], gxzyy[all], gxzyz[all], gxzzz[all];
double gyyxx[all], gyyxy[all], gyyxz[all], gyyyy[all], gyyyz[all], gyyzz[all];
double gyzxx[all], gyzxy[all], gyzxz[all], gyzyy[all], gyzyz[all], gyzzz[all];
double gzzxx[all], gzzxy[all], gzzxz[all], gzzyy[all], gzzyz[all], gzzzz[all];
double Lapx[all], Lapy[all], Lapz[all], Lapxx[all], Lapxy[all], Lapxz[all], Lapyy[all], Lapyz[all], Lapzz[all];
double betaxx[all], betaxy[all], betaxz[all], betayx[all], betayy[all], betayz[all], betazx[all], betazy[all], betazz[all];
double dBxx[all], dBxy[all], dBxz[all], dByx[all], dByy[all], dByz[all], dBzx[all], dBzy[all], dBzz[all];
double sfxxx[all], sfxxy[all], sfxxz[all], sfxyy[all], sfxyz[all], sfxzz[all];
double sfyxx[all], sfyxy[all], sfyxz[all], sfyyy[all], sfyyz[all], sfyzz[all];
double sfzxx[all], sfzxy[all], sfzxz[all], sfzyy[all], sfzyz[all], sfzzz[all];
double Gamxx[all], Gamxy[all], Gamxz[all], Gamyx[all], Gamyy[all], Gamyz[all], Gamzx[all], Gamzy[all], Gamzz[all];
double Kx[all], Ky[all], Kz[all], TZx[all], TZy[all], TZz[all];
double Axxx[all], Axxy[all], Axxz[all], Axyx[all], Axyy[all], Axyz[all];
double Axzx[all], Axzy[all], Axzz[all], Ayyx[all], Ayyy[all], Ayyz[all];
double Ayzx[all], Ayzy[all], Ayzz[all], Azzx[all], Azzy[all], Azzz[all];
const double SSS[3] = {1.0, 1.0, 1.0};
const double AAS[3] = {-1.0, -1.0, 1.0};
const double ASA[3] = {-1.0, 1.0, -1.0};
const double SAA[3] = {1.0, -1.0, -1.0};
const double ASS[3] = {-1.0, 1.0, 1.0};
const double SAS[3] = {1.0, -1.0, 1.0};
const double SSA[3] = {1.0, 1.0, -1.0};
const double ONE = 1.0;
const double TWO = 2.0;
const double ZEO = 0.0;
double chiDivfloor = 1.0e-5;
double kappa1 = 2.0e-2;
double kappa2 = 0.0;
double FF = 0.75;
double eta = 2.0;
for (int idx = 0; idx < all; ++idx)
{
alpn1[idx] = Lap[idx] + ONE;
chin1[idx] = chi_state[idx] + ONE;
gxx[idx] = dxx[idx] + ONE;
gyy[idx] = dyy[idx] + ONE;
gzz[idx] = dzz[idx] + ONE;
}
fderivs(ex, betax, betaxx, betaxy, betaxz, X, Y, Z, -1.0, 1.0, 1.0, Symmetry, Lev);
fderivs(ex, betay, betayx, betayy, betayz, X, Y, Z, 1.0, -1.0, 1.0, Symmetry, Lev);
fderivs(ex, betaz, betazx, betazy, betazz, X, Y, Z, 1.0, 1.0, -1.0, Symmetry, Lev);
fderivs(ex, dtSfx, dBxx, dBxy, dBxz, X, Y, Z, -1.0, 1.0, 1.0, Symmetry, Lev);
fderivs(ex, dtSfy, dByx, dByy, dByz, X, Y, Z, 1.0, -1.0, 1.0, Symmetry, Lev);
fderivs(ex, dtSfz, dBzx, dBzy, dBzz, X, Y, Z, 1.0, 1.0, -1.0, Symmetry, Lev);
fderivs(ex, chi_state, chix, chiy, chiz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fderivs(ex, dxx, gxxx, gxxy, gxxz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fderivs(ex, gxy, gxyx, gxyy, gxyz, X, Y, Z, -1.0, -1.0, 1.0, Symmetry, Lev);
fderivs(ex, gxz, gxzx, gxzy, gxzz, X, Y, Z, -1.0, 1.0, -1.0, Symmetry, Lev);
fderivs(ex, dyy, gyyx, gyyy, gyyz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fderivs(ex, gyz, gyzx, gyzy, gyzz, X, Y, Z, 1.0, -1.0, -1.0, Symmetry, Lev);
fderivs(ex, dzz, gzzx, gzzy, gzzz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fdderivs(ex, dxx, gxxxx, gxxxy, gxxxz, gxxyy, gxxyz, gxxzz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fdderivs(ex, dyy, gyyxx, gyyxy, gyyxz, gyyyy, gyyyz, gyyzz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fdderivs(ex, dzz, gzzxx, gzzxy, gzzxz, gzzyy, gzzyz, gzzzz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fdderivs(ex, gxy, gxyxx, gxyxy, gxyxz, gxyyy, gxyyz, gxyzz, X, Y, Z, -1.0, -1.0, 1.0, Symmetry, Lev);
fdderivs(ex, gxz, gxzxx, gxzxy, gxzxz, gxzyy, gxzyz, gxzzz, X, Y, Z, -1.0, 1.0, -1.0, Symmetry, Lev);
fdderivs(ex, gyz, gyzxx, gyzxy, gyzxz, gyzyy, gyzyz, gyzzz, X, Y, Z, 1.0, -1.0, -1.0, Symmetry, Lev);
fderivs(ex, Gamx, Gamxx, Gamxy, Gamxz, X, Y, Z, -1.0, 1.0, 1.0, Symmetry, Lev);
fderivs(ex, Gamy, Gamyx, Gamyy, Gamyz, X, Y, Z, 1.0, -1.0, 1.0, Symmetry, Lev);
fderivs(ex, Gamz, Gamzx, Gamzy, Gamzz, X, Y, Z, 1.0, 1.0, -1.0, Symmetry, Lev);
fderivs(ex, Lap, Lapx, Lapy, Lapz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fderivs(ex, trK, Kx, Ky, Kz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fderivs(ex, TZ, TZx, TZy, TZz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fdderivs(ex, betax, sfxxx, sfxxy, sfxxz, sfxyy, sfxyz, sfxzz, X, Y, Z, -1.0, 1.0, 1.0, Symmetry, Lev);
fdderivs(ex, betay, sfyxx, sfyxy, sfyxz, sfyyy, sfyyz, sfyzz, X, Y, Z, 1.0, -1.0, 1.0, Symmetry, Lev);
fdderivs(ex, betaz, sfzxx, sfzxy, sfzxz, sfzyy, sfzyz, sfzzz, X, Y, Z, 1.0, 1.0, -1.0, Symmetry, Lev);
fdderivs(ex, chi_state, chixx, chixy, chixz, chiyy, chiyz, chizz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fdderivs(ex, Lap, Lapxx, Lapxy, Lapxz, Lapyy, Lapyz, Lapzz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fderivs(ex, Axx, Axxx, Axxy, Axxz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fderivs(ex, Axy, Axyx, Axyy, Axyz, X, Y, Z, -1.0, -1.0, 1.0, Symmetry, Lev);
fderivs(ex, Axz, Axzx, Axzy, Axzz, X, Y, Z, -1.0, 1.0, -1.0, Symmetry, Lev);
fderivs(ex, Ayy, Ayyx, Ayyy, Ayyz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
fderivs(ex, Ayz, Ayzx, Ayzy, Ayzz, X, Y, Z, 1.0, -1.0, -1.0, Symmetry, Lev);
fderivs(ex, Azz, Azzx, Azzy, Azzz, X, Y, Z, 1.0, 1.0, 1.0, Symmetry, Lev);
for (int idx = 0; idx < all; ++idx)
{
double point_kappa1 = 0.0;
f_z4c_rhs_point(
Axx[idx], Axy[idx], Axz[idx], Ayy[idx], Ayz[idx], Azz[idx],
alpn1[idx], dtSfx[idx], dtSfy[idx], dtSfz[idx],
betax[idx], betay[idx], betaz[idx],
chin1[idx], chiDivfloor,
Lapx[idx],
Axxx[idx], Axyx[idx], Axzx[idx], Ayyx[idx], Ayzx[idx], Azzx[idx],
Lapy[idx],
Axxy[idx], Axyy[idx], Axzy[idx], Ayyy[idx], Ayzy[idx], Azzy[idx],
Lapz[idx],
Axxz[idx], Axyz[idx], Axzz[idx], Ayyz[idx], Ayzz[idx], Azzz[idx],
betaxx[idx], dBxx[idx], betayx[idx], dByx[idx], betazx[idx], dBzx[idx],
betaxy[idx], dBxy[idx], betayy[idx], dByy[idx], betazy[idx], dBzy[idx],
betaxz[idx], dBxz[idx], betayz[idx], dByz[idx], betazz[idx], dBzz[idx],
chix[idx], chiy[idx], chiz[idx],
Lapxx[idx], Lapxy[idx], Lapxz[idx], Lapyy[idx], Lapyz[idx], Lapzz[idx],
sfxxx[idx], sfyxx[idx], sfzxx[idx],
sfxxy[idx], sfyxy[idx], sfzxy[idx],
sfxxz[idx], sfyxz[idx], sfzxz[idx],
sfxyy[idx], sfyyy[idx], sfzyy[idx],
sfxyz[idx], sfyyz[idx], sfzyz[idx],
sfxzz[idx], sfyzz[idx], sfzzz[idx],
chixx[idx], chixy[idx], chixz[idx], chiyy[idx], chiyz[idx], chizz[idx],
gxxxx[idx], gxyxx[idx], gxzxx[idx], gyyxx[idx], gyzxx[idx], gzzxx[idx],
gxxxy[idx], gxyxy[idx], gxzxy[idx], gyyxy[idx], gyzxy[idx], gzzxy[idx],
gxxxz[idx], gxyxz[idx], gxzxz[idx], gyyxz[idx], gyzxz[idx], gzzxz[idx],
gxxyy[idx], gxyyy[idx], gxzyy[idx], gyyyy[idx], gyzyy[idx], gzzyy[idx],
gxxyz[idx], gxyyz[idx], gxzyz[idx], gyyyz[idx], gyzyz[idx], gzzyz[idx],
gxxzz[idx], gxyzz[idx], gxzzz[idx], gyyzz[idx], gyzzz[idx], gzzzz[idx],
Gamxx[idx], gxxx[idx], gxyx[idx], gxzx[idx],
Gamyx[idx], gyyx[idx], gyzx[idx],
Gamzx[idx], gzzx[idx],
Gamxy[idx], gxxy[idx], gxyy[idx], gxzy[idx],
Gamyy[idx], gyyy[idx], gyzy[idx],
Gamzy[idx], gzzy[idx],
Gamxz[idx], gxxz[idx], gxyz[idx], gxzz[idx],
Gamyz[idx], gyyz[idx], gyzz[idx],
Gamzz[idx], gzzz[idx],
Kx[idx], Ky[idx], Kz[idx],
TZx[idx], TZy[idx], TZz[idx],
Gamx[idx], gxx[idx], gxy[idx], gxz[idx],
Gamy[idx], gyy[idx], gyz[idx],
Gamz[idx], gzz[idx],
point_kappa1, kappa2,
trK[idx],
Axx_rhs[idx], Axy_rhs[idx], Axz_rhs[idx], Ayy_rhs[idx], Ayz_rhs[idx], Azz_rhs[idx],
chi_rhs[idx],
Gamx_rhs[idx], gxx_rhs[idx], gxy_rhs[idx], gxz_rhs[idx],
Gamy_rhs[idx], gyy_rhs[idx], gyz_rhs[idx],
Gamz_rhs[idx], gzz_rhs[idx], trK_rhs[idx], TZ_rhs[idx], TZ[idx]);
}
for (int idx = 0; idx < all; ++idx)
Lap_rhs[idx] = -TWO * alpn1[idx] * trK[idx];
#if (GAUGE == 0)
for (int idx = 0; idx < all; ++idx)
{
betax_rhs[idx] = FF * dtSfx[idx];
betay_rhs[idx] = FF * dtSfy[idx];
betaz_rhs[idx] = FF * dtSfz[idx];
dtSfx_rhs[idx] = Gamx_rhs[idx] - eta * dtSfx[idx];
dtSfy_rhs[idx] = Gamy_rhs[idx] - eta * dtSfy[idx];
dtSfz_rhs[idx] = Gamz_rhs[idx] - eta * dtSfz[idx];
}
#elif (GAUGE == 1)
for (int idx = 0; idx < all; ++idx)
{
betax_rhs[idx] = Gamx[idx] - eta * betax[idx];
betay_rhs[idx] = Gamy[idx] - eta * betay[idx];
betaz_rhs[idx] = Gamz[idx] - eta * betaz[idx];
dtSfx_rhs[idx] = ZEO;
dtSfy_rhs[idx] = ZEO;
dtSfz_rhs[idx] = ZEO;
}
#else
#error "z4c_rhs_c.C currently supports GAUGE == 0 or GAUGE == 1 for Z4C"
#endif
lopsided(ex, X, Y, Z, gxx, gxx_rhs, betax, betay, betaz, Symmetry, SSS);
lopsided(ex, X, Y, Z, gxy, gxy_rhs, betax, betay, betaz, Symmetry, AAS);
lopsided(ex, X, Y, Z, gxz, gxz_rhs, betax, betay, betaz, Symmetry, ASA);
lopsided(ex, X, Y, Z, gyy, gyy_rhs, betax, betay, betaz, Symmetry, SSS);
lopsided(ex, X, Y, Z, gyz, gyz_rhs, betax, betay, betaz, Symmetry, SAA);
lopsided(ex, X, Y, Z, gzz, gzz_rhs, betax, betay, betaz, Symmetry, SSS);
lopsided(ex, X, Y, Z, Axx, Axx_rhs, betax, betay, betaz, Symmetry, SSS);
lopsided(ex, X, Y, Z, Axy, Axy_rhs, betax, betay, betaz, Symmetry, AAS);
lopsided(ex, X, Y, Z, Axz, Axz_rhs, betax, betay, betaz, Symmetry, ASA);
lopsided(ex, X, Y, Z, Ayy, Ayy_rhs, betax, betay, betaz, Symmetry, SSS);
lopsided(ex, X, Y, Z, Ayz, Ayz_rhs, betax, betay, betaz, Symmetry, SAA);
lopsided(ex, X, Y, Z, Azz, Azz_rhs, betax, betay, betaz, Symmetry, SSS);
lopsided(ex, X, Y, Z, chi_state, chi_rhs, betax, betay, betaz, Symmetry, SSS);
lopsided(ex, X, Y, Z, trK, trK_rhs, betax, betay, betaz, Symmetry, SSS);
lopsided(ex, X, Y, Z, Gamx, Gamx_rhs, betax, betay, betaz, Symmetry, ASS);
lopsided(ex, X, Y, Z, Gamy, Gamy_rhs, betax, betay, betaz, Symmetry, SAS);
lopsided(ex, X, Y, Z, Gamz, Gamz_rhs, betax, betay, betaz, Symmetry, SSA);
lopsided(ex, X, Y, Z, Lap, Lap_rhs, betax, betay, betaz, Symmetry, SSS);
lopsided(ex, X, Y, Z, betax, betax_rhs, betax, betay, betaz, Symmetry, ASS);
lopsided(ex, X, Y, Z, betay, betay_rhs, betax, betay, betaz, Symmetry, SAS);
lopsided(ex, X, Y, Z, betaz, betaz_rhs, betax, betay, betaz, Symmetry, SSA);
#if (GAUGE == 0)
lopsided(ex, X, Y, Z, dtSfx, dtSfx_rhs, betax, betay, betaz, Symmetry, ASS);
lopsided(ex, X, Y, Z, dtSfy, dtSfy_rhs, betax, betay, betaz, Symmetry, SAS);
lopsided(ex, X, Y, Z, dtSfz, dtSfz_rhs, betax, betay, betaz, Symmetry, SSA);
#endif
lopsided(ex, X, Y, Z, TZ, TZ_rhs, betax, betay, betaz, Symmetry, SSS);
for (int idx = 0; idx < all; ++idx)
{
double Gamxa = 0.0, Gamya = 0.0, Gamza = 0.0;
z4c_contract_gamma(
gxx[idx], gxy[idx], gxz[idx], gyy[idx], gyz[idx], gzz[idx],
gxxx[idx], gxyx[idx], gxzx[idx], gyyx[idx], gyzx[idx], gzzx[idx],
gxxy[idx], gxyy[idx], gxzy[idx], gyyy[idx], gyzy[idx], gzzy[idx],
gxxz[idx], gxyz[idx], gxzz[idx], gyyz[idx], gyzz[idx], gzzz[idx],
Gamxa, Gamya, Gamza);
TZ_rhs[idx] -= alpn1[idx] * (TWO + kappa2) * kappa1 * TZ[idx];
trK_rhs[idx] += alpn1[idx] * kappa1 * (ONE - kappa2) * TZ[idx];
Gamx_rhs[idx] -= TWO * alpn1[idx] * kappa1 * (Gamx[idx] - Gamxa);
Gamy_rhs[idx] -= TWO * alpn1[idx] * kappa1 * (Gamy[idx] - Gamya);
Gamz_rhs[idx] -= TWO * alpn1[idx] * kappa1 * (Gamz[idx] - Gamza);
}
if (eps > 0.0)
{
kodis(ex, X, Y, Z, chi_state, chi_rhs, SSS, Symmetry, eps);
kodis(ex, X, Y, Z, trK, trK_rhs, SSS, Symmetry, eps);
kodis(ex, X, Y, Z, gxx, gxx_rhs, SSS, Symmetry, eps);
kodis(ex, X, Y, Z, gxy, gxy_rhs, AAS, Symmetry, eps);
kodis(ex, X, Y, Z, gxz, gxz_rhs, ASA, Symmetry, eps);
kodis(ex, X, Y, Z, gyy, gyy_rhs, SSS, Symmetry, eps);
kodis(ex, X, Y, Z, gyz, gyz_rhs, SAA, Symmetry, eps);
kodis(ex, X, Y, Z, gzz, gzz_rhs, SSS, Symmetry, eps);
kodis(ex, X, Y, Z, Axx, Axx_rhs, SSS, Symmetry, eps);
kodis(ex, X, Y, Z, Axy, Axy_rhs, AAS, Symmetry, eps);
kodis(ex, X, Y, Z, Axz, Axz_rhs, ASA, Symmetry, eps);
kodis(ex, X, Y, Z, Ayy, Ayy_rhs, SSS, Symmetry, eps);
kodis(ex, X, Y, Z, Ayz, Ayz_rhs, SAA, Symmetry, eps);
kodis(ex, X, Y, Z, Azz, Azz_rhs, SSS, Symmetry, eps);
kodis(ex, X, Y, Z, Gamx, Gamx_rhs, ASS, Symmetry, eps);
kodis(ex, X, Y, Z, Gamy, Gamy_rhs, SAS, Symmetry, eps);
kodis(ex, X, Y, Z, Gamz, Gamz_rhs, SSA, Symmetry, eps);
kodis(ex, X, Y, Z, Lap, Lap_rhs, SSS, Symmetry, eps);
kodis(ex, X, Y, Z, betax, betax_rhs, ASS, Symmetry, eps);
kodis(ex, X, Y, Z, betay, betay_rhs, SAS, Symmetry, eps);
kodis(ex, X, Y, Z, betaz, betaz_rhs, SSA, Symmetry, eps);
#if (GAUGE == 0)
kodis(ex, X, Y, Z, dtSfx, dtSfx_rhs, ASS, Symmetry, eps);
kodis(ex, X, Y, Z, dtSfy, dtSfy_rhs, SAS, Symmetry, eps);
kodis(ex, X, Y, Z, dtSfz, dtSfz_rhs, SSA, Symmetry, eps);
#endif
kodis(ex, X, Y, Z, TZ, TZ_rhs, SSS, Symmetry, eps);
}
if (co == 0)
{
#if (ABV == 0)
f_ricci_gamma(ex, X, Y, Z,
chi_constraints,
dxx, gxy, gxz, dyy, gyz, dzz,
Gamx, Gamy, Gamz,
Gamxxx, Gamxxy, Gamxxz, Gamxyy, Gamxyz, Gamxzz,
Gamyxx, Gamyxy, Gamyxz, Gamyyy, Gamyyz, Gamyzz,
Gamzxx, Gamzxy, Gamzxz, Gamzyy, Gamzyz, Gamzzz,
Rxx, Rxy, Rxz, Ryy, Ryz, Rzz,
Symmetry);
#endif
f_constraint_bssn(ex, X, Y, Z,
chi_constraints, trK,
dxx, gxy, gxz, dyy, gyz, dzz,
Axx, Axy, Axz, Ayy, Ayz, Azz,
Gamx, Gamy, Gamz,
Lap, betax, betay, betaz, rho, Sx, Sy, Sz,
Gamxxx, Gamxxy, Gamxxz, Gamxyy, Gamxyz, Gamxzz,
Gamyxx, Gamyxy, Gamyxz, Gamyyy, Gamyyz, Gamyzz,
Gamzxx, Gamzxy, Gamzxz, Gamzyy, Gamzyz, Gamzzz,
Rxx, Rxy, Rxz, Ryy, Ryz, Rzz,
Hcon, Mxcon, Mycon, Mzcon, Gmxcon, Gmycon, Gmzcon,
Symmetry);
}
return 0;
}
extern "C" int f_compute_rhs_Z4c(int *ex, double &T,
double *X, double *Y, double *Z,
double *chi, double *trK,
double *dxx, double *gxy, double *gxz, double *dyy, double *gyz, double *dzz,
double *Axx, double *Axy, double *Axz, double *Ayy, double *Ayz, double *Azz,
double *Gamx, double *Gamy, double *Gamz,
double *Lap, double *betax, double *betay, double *betaz,
double *dtSfx, double *dtSfy, double *dtSfz,
double *TZ,
double *chi_rhs, double *trK_rhs,
double *gxx_rhs, double *gxy_rhs, double *gxz_rhs, double *gyy_rhs, double *gyz_rhs, double *gzz_rhs,
double *Axx_rhs, double *Axy_rhs, double *Axz_rhs, double *Ayy_rhs, double *Ayz_rhs, double *Azz_rhs,
double *Gamx_rhs, double *Gamy_rhs, double *Gamz_rhs,
double *Lap_rhs, double *betax_rhs, double *betay_rhs, double *betaz_rhs,
double *dtSfx_rhs, double *dtSfy_rhs, double *dtSfz_rhs,
double *TZ_rhs,
double *rho, double *Sx, double *Sy, double *Sz,
double *Sxx, double *Sxy, double *Sxz, double *Syy, double *Syz, double *Szz,
double *Gamxxx, double *Gamxxy, double *Gamxxz, double *Gamxyy, double *Gamxyz, double *Gamxzz,
double *Gamyxx, double *Gamyxy, double *Gamyxz, double *Gamyyy, double *Gamyyz, double *Gamyzz,
double *Gamzxx, double *Gamzxy, double *Gamzxz, double *Gamzyy, double *Gamzyz, double *Gamzzz,
double *Rxx, double *Rxy, double *Rxz, double *Ryy, double *Ryz, double *Rzz,
double *Hcon, double *Mxcon, double *Mycon, double *Mzcon, double *Gmxcon, double *Gmycon, double *Gmzcon,
int &Symmetry, int &Lev, double &eps, int &co)
{
return compute_rhs_z4c_cartesian(
ex, T, X, Y, Z,
chi, chi, trK,
dxx, gxy, gxz, dyy, gyz, dzz,
Axx, Axy, Axz, Ayy, Ayz, Azz,
Gamx, Gamy, Gamz,
Lap, betax, betay, betaz,
dtSfx, dtSfy, dtSfz,
TZ,
chi_rhs, trK_rhs,
gxx_rhs, gxy_rhs, gxz_rhs, gyy_rhs, gyz_rhs, gzz_rhs,
Axx_rhs, Axy_rhs, Axz_rhs, Ayy_rhs, Ayz_rhs, Azz_rhs,
Gamx_rhs, Gamy_rhs, Gamz_rhs,
Lap_rhs, betax_rhs, betay_rhs, betaz_rhs,
dtSfx_rhs, dtSfy_rhs, dtSfz_rhs,
TZ_rhs,
rho, Sx, Sy, Sz,
Sxx, Sxy, Sxz, Syy, Syz, Szz,
Gamxxx, Gamxxy, Gamxxz, Gamxyy, Gamxyz, Gamxzz,
Gamyxx, Gamyxy, Gamyxz, Gamyyy, Gamyyz, Gamyzz,
Gamzxx, Gamzxy, Gamzxz, Gamzyy, Gamzyz, Gamzzz,
Rxx, Rxy, Rxz, Ryy, Ryz, Rzz,
Hcon, Mxcon, Mycon, Mzcon, Gmxcon, Gmycon, Gmzcon,
Symmetry, Lev, eps, co);
}
extern "C" int f_compute_rhs_Z4cnot(int *ex, double &T,
double *X, double *Y, double *Z,
double *chi, double *trK,
double *dxx, double *gxy, double *gxz, double *dyy, double *gyz, double *dzz,
double *Axx, double *Axy, double *Axz, double *Ayy, double *Ayz, double *Azz,
double *Gamx, double *Gamy, double *Gamz,
double *Lap, double *betax, double *betay, double *betaz,
double *dtSfx, double *dtSfy, double *dtSfz,
double *TZ,
double *chi_rhs, double *trK_rhs,
double *gxx_rhs, double *gxy_rhs, double *gxz_rhs, double *gyy_rhs, double *gyz_rhs, double *gzz_rhs,
double *Axx_rhs, double *Axy_rhs, double *Axz_rhs, double *Ayy_rhs, double *Ayz_rhs, double *Azz_rhs,
double *Gamx_rhs, double *Gamy_rhs, double *Gamz_rhs,
double *Lap_rhs, double *betax_rhs, double *betay_rhs, double *betaz_rhs,
double *dtSfx_rhs, double *dtSfy_rhs, double *dtSfz_rhs,
double *TZ_rhs,
double *rho, double *Sx, double *Sy, double *Sz,
double *Sxx, double *Sxy, double *Sxz, double *Syy, double *Syz, double *Szz,
double *Gamxxx, double *Gamxxy, double *Gamxxz, double *Gamxyy, double *Gamxyz, double *Gamxzz,
double *Gamyxx, double *Gamyxy, double *Gamyxz, double *Gamyyy, double *Gamyyz, double *Gamyzz,
double *Gamzxx, double *Gamzxy, double *Gamzxz, double *Gamzyy, double *Gamzyz, double *Gamzzz,
double *Rxx, double *Rxy, double *Rxz, double *Ryy, double *Ryz, double *Rzz,
double *Hcon, double *Mxcon, double *Mycon, double *Mzcon, double *Gmxcon, double *Gmycon, double *Gmzcon,
int &Symmetry, int &Lev, double &eps, int &co, double &chitiny)
{
const int all = ex[0] * ex[1] * ex[2];
std::vector<double> chi_clamped(chi, chi + all);
f_lowerboundset(ex, chi_clamped.data(), chitiny);
const int ret = compute_rhs_z4c_cartesian(
ex, T, X, Y, Z,
chi_clamped.data(), chi, trK,
dxx, gxy, gxz, dyy, gyz, dzz,
Axx, Axy, Axz, Ayy, Ayz, Azz,
Gamx, Gamy, Gamz,
Lap, betax, betay, betaz,
dtSfx, dtSfy, dtSfz,
TZ,
chi_rhs, trK_rhs,
gxx_rhs, gxy_rhs, gxz_rhs, gyy_rhs, gyz_rhs, gzz_rhs,
Axx_rhs, Axy_rhs, Axz_rhs, Ayy_rhs, Ayz_rhs, Azz_rhs,
Gamx_rhs, Gamy_rhs, Gamz_rhs,
Lap_rhs, betax_rhs, betay_rhs, betaz_rhs,
dtSfx_rhs, dtSfy_rhs, dtSfz_rhs,
TZ_rhs,
rho, Sx, Sy, Sz,
Sxx, Sxy, Sxz, Syy, Syz, Szz,
Gamxxx, Gamxxy, Gamxxz, Gamxyy, Gamxyz, Gamxzz,
Gamyxx, Gamyxy, Gamyxz, Gamyyy, Gamyyz, Gamyzz,
Gamzxx, Gamzxy, Gamzxz, Gamzyy, Gamzyz, Gamzzz,
Rxx, Rxy, Rxz, Ryy, Ryz, Rzz,
Hcon, Mxcon, Mycon, Mzcon, Gmxcon, Gmycon, Gmzcon,
Symmetry, Lev, eps, co);
if (ret != 0 || co != 0)
return ret;
#if (ABV == 0)
f_ricci_gamma(ex, X, Y, Z,
chi,
dxx, gxy, gxz, dyy, gyz, dzz,
Gamx, Gamy, Gamz,
Gamxxx, Gamxxy, Gamxxz, Gamxyy, Gamxyz, Gamxzz,
Gamyxx, Gamyxy, Gamyxz, Gamyyy, Gamyyz, Gamyzz,
Gamzxx, Gamzxy, Gamzxz, Gamzyy, Gamzyz, Gamzzz,
Rxx, Rxy, Rxz, Ryy, Ryz, Rzz,
Symmetry);
#endif
f_constraint_bssn(ex, X, Y, Z,
chi, trK,
dxx, gxy, gxz, dyy, gyz, dzz,
Axx, Axy, Axz, Ayy, Ayz, Azz,
Gamx, Gamy, Gamz,
Lap, betax, betay, betaz, rho, Sx, Sy, Sz,
Gamxxx, Gamxxy, Gamxxz, Gamxyy, Gamxyz, Gamxzz,
Gamyxx, Gamyxy, Gamyxz, Gamyyy, Gamyyz, Gamyzz,
Gamzxx, Gamzxy, Gamzxz, Gamzyy, Gamzyz, Gamzzz,
Rxx, Rxy, Rxz, Ryy, Ryz, Rzz,
Hcon, Mxcon, Mycon, Mzcon, Gmxcon, Gmycon, Gmzcon,
Symmetry);
return ret;
}
File diff suppressed because it is too large Load Diff
+114
View File
@@ -0,0 +1,114 @@
#ifndef Z4C_RHS_CUDA_H
#define Z4C_RHS_CUDA_H
#ifdef __cplusplus
extern "C" {
#endif
enum {
Z4C_CUDA_STATE_COUNT = 25
};
int z4c_cuda_rk4_substep(void *block_tag,
int *ex, double *X, double *Y, double *Z,
double **state_host_in,
double **state_host_out,
const double *propspeed,
const double *soa_flat,
const double *bbox,
double &dT,
double &T,
int &RK4,
int &apply_bam_bc,
int &Symmetry,
int &Lev,
double &eps,
int &co,
int &keep_resident_state,
int &apply_enforce_ga,
double &chitiny);
int z4c_cuda_download_resident_state(void *block_tag,
int *ex,
double **state_host_out);
int z4c_cuda_pack_state_region_to_host_buffer(void *block_tag,
int state_index,
double *host_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int z4c_cuda_unpack_state_region_from_host_buffer(void *block_tag,
int state_index,
double *host_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int z4c_cuda_pack_state_batch_to_host_buffer(void *block_tag,
int state_count,
double *host_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int z4c_cuda_unpack_state_batch_from_host_buffer(void *block_tag,
int state_count,
double *host_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int z4c_cuda_pack_state_batch_to_device_buffer(void *block_tag,
int state_count,
double *device_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int z4c_cuda_unpack_state_batch_from_device_buffer(void *block_tag,
int state_count,
double *device_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int z4c_cuda_restrict_state_batch_to_device_buffer(void *block_tag,
int state_count,
double *device_buffer,
int *ex,
int sx, int sy, int sz,
int fi0, int fj0, int fk0,
const double *state_soa);
int z4c_cuda_prolong_state_batch_to_device_buffer(void *block_tag,
int state_count,
double *device_buffer,
int *ex,
int sx, int sy, int sz,
int ii0, int jj0, int kk0,
int lbc_i, int lbc_j, int lbc_k,
const double *state_soa);
int z4c_cuda_download_state_subset(void *block_tag,
int *ex,
int subset_count,
const int *state_indices,
double **state_host_out);
int z4c_cuda_upload_state_subset(void *block_tag,
int *ex,
int subset_count,
const int *state_indices,
double **state_host_in);
int z4c_cuda_has_resident_state(void *block_tag);
void z4c_cuda_release_step_ctx(void *block_tag);
#ifdef __cplusplus
}
#endif
#endif
+72
View File
@@ -0,0 +1,72 @@
#!/usr/bin/env python3
"""Convert interp_lb_profile.bin to a C header for compile-time embedding."""
import struct, sys
if len(sys.argv) < 3:
print(f"Usage: {sys.argv[0]} <profile.bin> <output.h>")
sys.exit(1)
with open(sys.argv[1], 'rb') as f:
magic, version, nprocs, num_heavy = struct.unpack('IIii', f.read(16))
threshold = struct.unpack('d', f.read(8))[0]
times = list(struct.unpack(f'{nprocs}d', f.read(nprocs * 8)))
heavy = list(struct.unpack(f'{num_heavy}i', f.read(num_heavy * 4)))
# For each heavy rank, compute split: left half -> lighter neighbor, right half -> heavy rank
# (or vice versa depending on which neighbor is lighter)
splits = []
for hr in heavy:
prev_t = times[hr - 1] if hr > 0 else 1e30
next_t = times[hr + 1] if hr < nprocs - 1 else 1e30
if prev_t <= next_t:
splits.append((hr, hr - 1, hr)) # (block_id, r_left, r_right)
else:
splits.append((hr, hr, hr + 1))
# Also remap the displaced neighbor blocks
remaps = {}
for hr, r_l, r_r in splits:
if r_l != hr:
# We took r_l's slot, so remap block r_l to its other neighbor
displaced = r_l
if displaced > 0 and displaced - 1 not in [s[0] for s in splits]:
remaps[displaced] = displaced - 1
elif displaced < nprocs - 1:
remaps[displaced] = displaced + 1
else:
displaced = r_r
if displaced < nprocs - 1 and displaced + 1 not in [s[0] for s in splits]:
remaps[displaced] = displaced + 1
elif displaced > 0:
remaps[displaced] = displaced - 1
with open(sys.argv[2], 'w') as out:
out.write("/* Auto-generated from interp_lb_profile.bin — do not edit */\n")
out.write("#ifndef INTERP_LB_PROFILE_DATA_H\n")
out.write("#define INTERP_LB_PROFILE_DATA_H\n\n")
out.write(f"#define INTERP_LB_NPROCS {nprocs}\n")
out.write(f"#define INTERP_LB_NUM_HEAVY {num_heavy}\n\n")
out.write(f"static const int interp_lb_heavy_blocks[{num_heavy}] = {{")
out.write(", ".join(str(h) for h in heavy))
out.write("};\n\n")
out.write("/* Split table: {block_id, r_left, r_right} */\n")
out.write(f"static const int interp_lb_splits[{num_heavy}][3] = {{\n")
for bid, rl, rr in splits:
out.write(f" {{{bid}, {rl}, {rr}}},\n")
out.write("};\n\n")
out.write("/* Rank remap for displaced neighbor blocks */\n")
out.write(f"static const int interp_lb_num_remaps = {len(remaps)};\n")
out.write(f"static const int interp_lb_remaps[][2] = {{\n")
for src, dst in sorted(remaps.items()):
out.write(f" {{{src}, {dst}}},\n")
if not remaps:
out.write(" {-1, -1},\n")
out.write("};\n\n")
out.write("#endif /* INTERP_LB_PROFILE_DATA_H */\n")
print(f"Generated {sys.argv[2]}:")
print(f" {num_heavy} heavy blocks to split: {heavy}")
for bid, rl, rr in splits:
print(f" block {bid}: split -> rank {rl} (left), rank {rr} (right)")
for src, dst in sorted(remaps.items()):
print(f" block {src}: remap -> rank {dst}")
+72 -1
View File
@@ -144,11 +144,67 @@ def generate_macrodef_h():
print( "#define REGLEV 0", file=file1 )
print( file=file1 )
# Define fine-grained timing/debug macros.
# All of them default to OFF so production builds do not pay profiling overhead.
fine_timing = getattr(input_data, "Fine_Timing",
getattr(input_data, "Finegrained_Timing", "no"))
kernel_fine_timing = getattr(input_data, "Kernel_Fine_Timing",
getattr(input_data, "BSSN_Kernel_Fine_Timing", "no"))
stdin_abort_poll = getattr(input_data, "Enable_Stdin_Abort_Poll",
getattr(input_data, "Stdin_Abort_Poll", "no"))
timing_report_every = max(1, int(getattr(
input_data, "Timing_Every_Steps",
getattr(input_data, "Timing_Report_Every", 1))))
timing_top_hotspots = max(1, int(getattr(
input_data, "Timing_Top_Hotspots", 8)))
if ( fine_timing == "yes" ):
print( "#define BSSN_FINE_TIMING 1", file=file1 )
print( file=file1 )
elif ( fine_timing == "no" ):
print( "#define BSSN_FINE_TIMING 0", file=file1 )
print( file=file1 )
else:
print( "Fine_Timing setting error!!!" )
print()
print( "# Fine_Timing setting error!!!", file=file1 )
print( file=file1 )
print( f"#define BSSN_FINE_TIMING_EVERY {timing_report_every}", file=file1 )
print( file=file1 )
print( f"#define BSSN_FINE_TIMING_TOPN {timing_top_hotspots}", file=file1 )
print( file=file1 )
if ( kernel_fine_timing == "yes" ):
print( "#define BSSN_KERNEL_FINE_TIMING 1", file=file1 )
print( file=file1 )
elif ( kernel_fine_timing == "no" ):
print( "#define BSSN_KERNEL_FINE_TIMING 0", file=file1 )
print( file=file1 )
else:
print( "Kernel_Fine_Timing setting error!!!" )
print()
print( "# Kernel_Fine_Timing setting error!!!", file=file1 )
print( file=file1 )
if ( stdin_abort_poll == "yes" ):
print( "#define BSSN_ENABLE_STDIN_ABORT_POLL 1", file=file1 )
print( file=file1 )
elif ( stdin_abort_poll == "no" ):
print( "#define BSSN_ENABLE_STDIN_ABORT_POLL 0", file=file1 )
print( file=file1 )
else:
print( "Enable_Stdin_Abort_Poll setting error!!!" )
print()
print( "# Enable_Stdin_Abort_Poll setting error!!!", file=file1 )
print( file=file1 )
# Define macro USE_GPU
# use GPU or not
if ( input_data.GPU_Calculation == "yes"):
print( "#define USE_GPU", file=file1 )
print( "//#define USE_GPU", file=file1 )
print( file=file1 )
elif ( input_data.GPU_Calculation == "no"):
print( "//#define USE_GPU", file=file1 )
@@ -224,6 +280,21 @@ def generate_macrodef_h():
print( "// 0: for every level;", file=file1 )
print( "// 1: for all", file=file1 )
print( "//", file=file1 )
print( "// define BSSN_FINE_TIMING", file=file1 )
print( "// enable fine-grained per-timestep timing monitor", file=file1 )
print( "//", file=file1 )
print( "// define BSSN_FINE_TIMING_EVERY", file=file1 )
print( "// report timing every N coarse timesteps", file=file1 )
print( "//", file=file1 )
print( "// define BSSN_FINE_TIMING_TOPN", file=file1 )
print( "// number of hottest timing buckets shown in stdout", file=file1 )
print( "//", file=file1 )
print( "// define BSSN_KERNEL_FINE_TIMING", file=file1 )
print( "// enable split timing inside compute_rhs_bssn", file=file1 )
print( "//", file=file1 )
print( "// define BSSN_ENABLE_STDIN_ABORT_POLL", file=file1 )
print( "// poll stdin and broadcast abort flag every coarse step", file=file1 )
print( "//", file=file1 )
print( "// define USE_GPU", file=file1 )
print( "// use gpu or not", file=file1 )
print( "//", file=file1 )
+269 -17
View File
@@ -9,6 +9,8 @@
import AMSS_NCKU_Input as input_data
import os
import shutil
import subprocess
import time
@@ -43,7 +45,8 @@ def get_last_n_cores_per_socket(n=32):
cpu_str = ",".join(segments)
total = len(segments) * n
print(f" CPU binding: taskset -c {cpu_str} ({total} cores, last {n} per socket)")
return f"taskset -c {cpu_str}"
#return f"taskset -c {cpu_str}"
return f""
## CPU core binding: dynamically select the last 32 cores of each socket (64 cores total)
@@ -55,6 +58,198 @@ BUILD_JOBS = 64
##################################################################
def _truthy(value, default=False):
if value is None:
return default
if isinstance(value, bool):
return value
text = str(value).strip().lower()
if text == "":
return default
return text in ("1", "yes", "y", "true", "on", "enable", "enabled")
def _input_or_env(input_name, env_name, default=None):
if env_name in os.environ:
return os.environ[env_name]
return getattr(input_data, input_name, default)
def _input_env_passthrough(runtime_env, env_name):
if env_name in runtime_env:
return
if hasattr(input_data, env_name):
runtime_env[env_name] = str(getattr(input_data, env_name))
def _start_cuda_mps_if_requested(runtime_env):
if input_data.GPU_Calculation != "yes":
return False
default_auto_mps = int(getattr(input_data, "MPI_processes", 1)) > 1
auto_mps = _truthy(
_input_or_env("CUDA_Auto_MPS", "AMSS_CUDA_AUTO_MPS", default_auto_mps),
default=default_auto_mps,
)
if not auto_mps:
return False
mps_control = shutil.which("nvidia-cuda-mps-control")
if not mps_control:
print(" CUDA MPS control command was not found; running without MPS.")
return False
uid = os.getuid()
pipe_dir = str(_input_or_env("CUDA_MPS_PIPE_DIRECTORY", "CUDA_MPS_PIPE_DIRECTORY",
f"/tmp/amss-ncku-mps-{uid}"))
log_dir = str(_input_or_env("CUDA_MPS_LOG_DIRECTORY", "CUDA_MPS_LOG_DIRECTORY",
f"/tmp/amss-ncku-mps-log-{uid}"))
os.makedirs(pipe_dir, exist_ok=True)
os.makedirs(log_dir, exist_ok=True)
mps_env = runtime_env.copy()
mps_env["CUDA_MPS_PIPE_DIRECTORY"] = pipe_dir
mps_env["CUDA_MPS_LOG_DIRECTORY"] = log_dir
if os.path.exists(os.path.join(pipe_dir, "control")):
runtime_env.update({
"CUDA_MPS_PIPE_DIRECTORY": pipe_dir,
"CUDA_MPS_LOG_DIRECTORY": log_dir,
})
print(f" Reusing CUDA MPS daemon: {pipe_dir}")
return False
print(f" Starting CUDA MPS daemon for this run: {pipe_dir}")
result = subprocess.run([mps_control, "-d"], env=mps_env, text=True,
stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
if result.returncode != 0:
print(" CUDA MPS daemon did not start; running without MPS.")
if result.stdout:
print(result.stdout, end="")
return False
runtime_env.update({
"CUDA_MPS_PIPE_DIRECTORY": pipe_dir,
"CUDA_MPS_LOG_DIRECTORY": log_dir,
})
return True
def _stop_cuda_mps(runtime_env):
mps_control = shutil.which("nvidia-cuda-mps-control")
if not mps_control:
return
subprocess.run([mps_control], input="quit\n", env=runtime_env, text=True,
stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
def _gpu_runtime_env():
runtime_env = os.environ.copy()
finite_difference = str(getattr(input_data, "Finite_Diffenence_Method", "4th-order")).strip()
defaults = {
"AMSS_EVOLVE_TIMING": "1",
"AMSS_ESCALAR_STEP_TIMING": "0",
"AMSS_INTERP_FAST": "1",
"AMSS_INTERP_GPU": "1",
"AMSS_ANALYSIS_MAP_EVERY": "1000000",
"AMSS_CUDA_AWARE_MPI": "1",
"AMSS_CUDA_KEEP_RESIDENT_AFTER_STEP": "1",
"AMSS_CUDA_KEEP_ALL_LEVELS": "1",
"AMSS_CUDA_ESCALAR_KEEP_RESIDENT_AFTER_STEP": "1",
"AMSS_CUDA_ESCALAR_KEEP_ALL_LEVELS": "1",
"AMSS_CUDA_EM_CACHE_SOURCES": "1",
"AMSS_CUDA_EM_ZERO_FASTPATH": "1",
"AMSS_EM_ZERO_ANALYSIS_FASTPATH": "1",
"AMSS_EM_ZERO_RESIDENT_DOWNLOAD_FASTPATH": "1",
"AMSS_CUDA_AMR_HOST_STAGED": "1",
"AMSS_CUDA_AMR_RESTRICT_DEVICE": "0",
"AMSS_CUDA_AMR_RESTRICT_BATCH": "0",
"AMSS_CUDA_DEVICE_SEGMENT_BATCH": "0",
"AMSS_CUDA_UNCACHED_DEVICE_BUFFERS": "1",
"AMSS_SHELL_FAST_INTERP": "0",
"AMSS_SHELL_PARALLEL_INTERP": "0",
"AMSS_SHELL_CUDA_INTERP": "0",
}
if finite_difference in ("2nd-order", "8th-order"):
defaults.update({
"AMSS_INTERP_FAST": "0",
"AMSS_INTERP_GPU": "0",
"AMSS_CUDA_AWARE_MPI": "0",
})
if finite_difference == "8th-order" and getattr(input_data, "Equation_Class", "") == "BSSN-EM":
defaults.update({
"AMSS_CUDA_AMR_RESTRICT_DEVICE": "1",
"AMSS_CUDA_AMR_RESTRICT_BATCH": "1",
"AMSS_CUDA_DEVICE_SEGMENT_BATCH": "1",
})
if getattr(input_data, "basic_grid_set", "") == "Shell-Patch":
defaults.update({
"AMSS_CUDA_AWARE_MPI": "0",
"AMSS_SHELL_FAST_INTERP": "1",
"AMSS_SHELL_PARALLEL_INTERP": "1",
"AMSS_SHELL_INTERP_THREADS": "16",
})
if getattr(input_data, "Equation_Class", "") in ("BSSN", "BSSN-EScalar", "Z4C"):
defaults["AMSS_CUDA_AMR_RESTRICT_DEVICE"] = "1"
if getattr(input_data, "Equation_Class", "") == "Z4C":
defaults.update({
"AMSS_Z4C_CUDA_RESIDENT": "1",
"AMSS_CONSTRAINT_OUT_EVERY": "1000000",
})
for key, value in defaults.items():
runtime_env.setdefault(key, value)
passthrough_envs = [
"AMSS_CUDA_RESIDENT_SYNC",
"AMSS_CUDA_BSSN_RESIDENT_SYNC",
"AMSS_CUDA_EM_RESIDENT_SYNC",
"AMSS_CUDA_ESCALAR_RESIDENT_SYNC",
"AMSS_CUDA_BH_INTERP_RESIDENT",
"AMSS_CUDA_KEEP_RESIDENT_AFTER_STEP",
"AMSS_CUDA_KEEP_ALL_LEVELS",
"AMSS_CUDA_EM_KEEP_RESIDENT_AFTER_STEP",
"AMSS_CUDA_EM_KEEP_ALL_LEVELS",
"AMSS_CUDA_ESCALAR_KEEP_RESIDENT_AFTER_STEP",
"AMSS_CUDA_ESCALAR_KEEP_ALL_LEVELS",
"AMSS_CUDA_AMR_HOST_STAGED",
"AMSS_CUDA_AMR_RESTRICT_DEVICE",
"AMSS_CUDA_AMR_RESTRICT_BATCH",
"AMSS_CUDA_DEVICE_SEGMENT_BATCH",
"AMSS_CUDA_UNCACHED_DEVICE_BUFFERS",
"AMSS_CUDA_EM_CACHE_SOURCES",
"AMSS_CUDA_EM_ZERO_FASTPATH",
"AMSS_CUDA_AWARE_MPI",
"AMSS_CUDA_REGRID_FLUSH_ALWAYS",
"AMSS_Z4C_CUDA_RESIDENT",
"AMSS_SHELL_FAST_INTERP",
"AMSS_SHELL_PARALLEL_INTERP",
"AMSS_SHELL_CUDA_INTERP",
"AMSS_SHELL_INTERP_THREADS",
"AMSS_EM_ZERO_ANALYSIS_FASTPATH",
"AMSS_EM_ZERO_RESIDENT_DOWNLOAD_FASTPATH",
"AMSS_INTERP_FAST",
"AMSS_INTERP_GPU",
]
for env_name in passthrough_envs:
_input_env_passthrough(runtime_env, env_name)
optional_overrides = {
"AMSS_INTERP_FAST_COMPARE": "AMSS_Interp_Fast_Compare",
"AMSS_INTERP_FAST_COMPARE_LIMIT": "AMSS_Interp_Fast_Compare_Limit",
"AMSS_INTERP_FAST_COMPARE_TOL": "AMSS_Interp_Fast_Compare_Tol",
"AMSS_GPU_STAGE_TIMING": "AMSS_GPU_Stage_Timing",
"AMSS_GPU_STAGE_TIMING_EVERY": "AMSS_GPU_Stage_Timing_Every",
}
for env_name, input_name in optional_overrides.items():
if env_name not in runtime_env and hasattr(input_data, input_name):
runtime_env[env_name] = str(getattr(input_data, input_name))
return runtime_env
##################################################################
##################################################################
@@ -67,11 +262,13 @@ def makefile_ABE():
print( " Compiling the AMSS-NCKU executable file ABE/ABEGPU " )
print( )
z4c_mrbd = int(getattr(input_data, "AMSS_Z4C_MRBD", 0))
## Build command with CPU binding to nohz_full cores
if (input_data.GPU_Calculation == "no"):
makefile_command = f"{NUMACTL_CPU_BIND} make -j{BUILD_JOBS} ABE"
makefile_command = f"{NUMACTL_CPU_BIND} env AMSS_Z4C_MRBD={z4c_mrbd} make -j{BUILD_JOBS} INTERP_LB_MODE=off USE_CUDA_BSSN=0 USE_CUDA_Z4C=0 ABE"
elif (input_data.GPU_Calculation == "yes"):
makefile_command = f"{NUMACTL_CPU_BIND} make -j{BUILD_JOBS} ABEGPU"
makefile_command = f"{NUMACTL_CPU_BIND} env AMSS_Z4C_MRBD={z4c_mrbd} make -j{BUILD_JOBS} INTERP_LB_MODE=off USE_CUDA_BSSN=1 USE_CUDA_Z4C=1 ABE_CUDA"
else:
print( " CPU/GPU numerical calculation setting is wrong " )
print( )
@@ -144,29 +341,84 @@ def run_ABE():
print( )
## Define the command to run; cast other values to strings as needed
mpi_env = None
started_mps = False
mpi_processes = int(input_data.MPI_processes)
if (input_data.GPU_Calculation == "yes" and
getattr(input_data, "Equation_Class", "") == "Z4C"):
z4c_env_np = os.environ.get("AMSS_Z4C_GPU_MPI_PROCESSES")
if z4c_env_np and int(z4c_env_np) > 0:
mpi_processes = int(z4c_env_np)
elif mpi_processes < 4:
mpi_processes = 4
if (input_data.GPU_Calculation == "yes" and
getattr(input_data, "basic_grid_set", "") == "Shell-Patch"):
shell_env_np = os.environ.get("AMSS_SHELL_GPU_MPI_PROCESSES")
if shell_env_np and int(shell_env_np) > 0:
mpi_processes = int(shell_env_np)
elif mpi_processes < 4:
mpi_processes = 4
if (input_data.GPU_Calculation == "no"):
mpi_command = NUMACTL_CPU_BIND + " mpirun -np " + str(input_data.MPI_processes) + " ./ABE"
mpi_command = NUMACTL_CPU_BIND + " mpirun -np " + str(mpi_processes) + " ./ABE"
#mpi_command = " mpirun -np " + str(input_data.MPI_processes) + " ./ABE"
mpi_command_outfile = "ABE_out.log"
elif (input_data.GPU_Calculation == "yes"):
mpi_command = NUMACTL_CPU_BIND + " mpirun -np " + str(input_data.MPI_processes) + " ./ABEGPU"
mpi_command = NUMACTL_CPU_BIND + " I_MPI_OFFLOAD=1 I_MPI_OFFLOAD_IPC=0 mpirun -np " + str(mpi_processes) + " ./ABE_CUDA"
mpi_command_outfile = "ABEGPU_out.log"
mpi_env = _gpu_runtime_env()
started_mps = _start_cuda_mps_if_requested(mpi_env)
print(" GPU optimized runtime switches:")
print(f" MPI processes={mpi_processes}")
print(f" AMSS_INTERP_FAST={mpi_env.get('AMSS_INTERP_FAST', '')}")
print(f" AMSS_INTERP_GPU={mpi_env.get('AMSS_INTERP_GPU', '')}")
print(f" AMSS_ANALYSIS_MAP_EVERY={mpi_env.get('AMSS_ANALYSIS_MAP_EVERY', '')}")
print(f" AMSS_EVOLVE_TIMING={mpi_env.get('AMSS_EVOLVE_TIMING', '')}")
print(f" AMSS_ESCALAR_STEP_TIMING={mpi_env.get('AMSS_ESCALAR_STEP_TIMING', '')}")
print(f" AMSS_CUDA_AWARE_MPI={mpi_env.get('AMSS_CUDA_AWARE_MPI', '')}")
print(f" AMSS_CUDA_KEEP_RESIDENT_AFTER_STEP={mpi_env.get('AMSS_CUDA_KEEP_RESIDENT_AFTER_STEP', '')}")
print(f" AMSS_CUDA_KEEP_ALL_LEVELS={mpi_env.get('AMSS_CUDA_KEEP_ALL_LEVELS', '')}")
print(f" AMSS_CUDA_ESCALAR_KEEP_RESIDENT_AFTER_STEP={mpi_env.get('AMSS_CUDA_ESCALAR_KEEP_RESIDENT_AFTER_STEP', '')}")
print(f" AMSS_CUDA_ESCALAR_KEEP_ALL_LEVELS={mpi_env.get('AMSS_CUDA_ESCALAR_KEEP_ALL_LEVELS', '')}")
print(f" AMSS_CUDA_EM_CACHE_SOURCES={mpi_env.get('AMSS_CUDA_EM_CACHE_SOURCES', '')}")
print(f" AMSS_CUDA_EM_ZERO_FASTPATH={mpi_env.get('AMSS_CUDA_EM_ZERO_FASTPATH', '')}")
print(f" AMSS_EM_ZERO_ANALYSIS_FASTPATH={mpi_env.get('AMSS_EM_ZERO_ANALYSIS_FASTPATH', '')}")
print(f" AMSS_EM_ZERO_RESIDENT_DOWNLOAD_FASTPATH={mpi_env.get('AMSS_EM_ZERO_RESIDENT_DOWNLOAD_FASTPATH', '')}")
print(f" AMSS_CUDA_AMR_HOST_STAGED={mpi_env.get('AMSS_CUDA_AMR_HOST_STAGED', '')}")
print(f" AMSS_CUDA_AMR_RESTRICT_DEVICE={mpi_env.get('AMSS_CUDA_AMR_RESTRICT_DEVICE', '')}")
print(f" AMSS_CUDA_AMR_RESTRICT_BATCH={mpi_env.get('AMSS_CUDA_AMR_RESTRICT_BATCH', '')}")
print(f" AMSS_CUDA_DEVICE_SEGMENT_BATCH={mpi_env.get('AMSS_CUDA_DEVICE_SEGMENT_BATCH', '')}")
print(f" AMSS_CUDA_UNCACHED_DEVICE_BUFFERS={mpi_env.get('AMSS_CUDA_UNCACHED_DEVICE_BUFFERS', '')}")
print(f" AMSS_SHELL_FAST_INTERP={mpi_env.get('AMSS_SHELL_FAST_INTERP', '')}")
print(f" AMSS_SHELL_PARALLEL_INTERP={mpi_env.get('AMSS_SHELL_PARALLEL_INTERP', '')}")
print(f" AMSS_SHELL_CUDA_INTERP={mpi_env.get('AMSS_SHELL_CUDA_INTERP', '')}")
print(f" AMSS_SHELL_INTERP_THREADS={mpi_env.get('AMSS_SHELL_INTERP_THREADS', '')}")
print(f" AMSS_Z4C_CUDA_RESIDENT={mpi_env.get('AMSS_Z4C_CUDA_RESIDENT', '')}")
print(f" AMSS_CONSTRAINT_OUT_EVERY={mpi_env.get('AMSS_CONSTRAINT_OUT_EVERY', '')}")
if "CUDA_MPS_PIPE_DIRECTORY" in mpi_env:
print(f" CUDA_MPS_PIPE_DIRECTORY={mpi_env['CUDA_MPS_PIPE_DIRECTORY']}")
## Execute the MPI command and stream output
mpi_process = subprocess.Popen(mpi_command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True)
try:
## Execute the MPI command and stream output
mpi_process = subprocess.Popen(mpi_command, shell=True, stdout=subprocess.PIPE,
stderr=subprocess.STDOUT, text=True, env=mpi_env)
## Write ABE run output to file while printing to stdout
with open(mpi_command_outfile, 'w') as file0:
## Read and print output lines; also write each line to file
for line in mpi_process.stdout:
print(line, end='') # stream output in real time
file0.write(line) # write the line to file
file0.flush() # flush to ensure each line is written immediately (optional)
file0.close()
## Write ABE run output to file while printing to stdout
with open(mpi_command_outfile, 'w') as file0:
## Read and print output lines; also write each line to file
for line in mpi_process.stdout:
print(line, end='') # stream output in real time
file0.write(line) # write the line to file
file0.flush() # flush to ensure each line is written immediately (optional)
## Wait for the process to finish
mpi_return_code = mpi_process.wait()
## Wait for the process to finish
mpi_return_code = mpi_process.wait()
if mpi_return_code != 0:
raise subprocess.CalledProcessError(mpi_return_code, mpi_command)
finally:
if started_mps:
_stop_cuda_mps(mpi_env)
print( )
print( " The ABE/ABEGPU simulation is finished " )
-97
View File
@@ -1,97 +0,0 @@
# AMSS-NCKU PGO Profile Analysis Report
## 1. Profiling Environment
| Item | Value |
|------|-------|
| Compiler | Intel oneAPI DPC++/C++ 2025.3.0 (icpx/ifx) |
| Instrumentation Flag | `-fprofile-instr-generate` |
| Optimization Level (instrumented) | `-O2 -xHost -fma` |
| MPI Processes | 1 (single process to avoid MPI+instrumentation deadlock) |
| Profile File | `default_9725750769337483397_0.profraw` (327 KB) |
| Merged Profile | `default.profdata` (394 KB) |
| llvm-profdata | `/home/intel/oneapi/compiler/2025.3/bin/compiler/llvm-profdata` |
## 2. Reduced Simulation Parameters (for profiling run)
| Parameter | Production Value | Profiling Value |
|-----------|-----------------|-----------------|
| MPI_processes | 64 | 1 |
| grid_level | 9 | 4 |
| static_grid_level | 5 | 3 |
| static_grid_number | 96 | 24 |
| moving_grid_number | 48 | 16 |
| largest_box_xyz_max | 320^3 | 160^3 |
| Final_Evolution_Time | 1000.0 | 10.0 |
| Evolution_Step_Number | 10,000,000 | 1,000 |
| Detector_Number | 12 | 2 |
## 3. Profile Summary
| Metric | Value |
|--------|-------|
| Total instrumented functions | 1,392 |
| Functions with non-zero counts | 117 (8.4%) |
| Functions with zero counts | 1,275 (91.6%) |
| Maximum function entry count | 386,459,248 |
| Maximum internal block count | 370,477,680 |
| Total block count | 4,198,023,118 |
## 4. Top 20 Hotspot Functions
| Rank | Total Count | Max Block Count | Function | Category |
|------|------------|-----------------|----------|----------|
| 1 | 1,241,601,732 | 370,477,680 | `polint_` | Interpolation |
| 2 | 755,994,435 | 230,156,640 | `prolong3_` | Grid prolongation |
| 3 | 667,964,095 | 3,697,792 | `compute_rhs_bssn_` | BSSN RHS evolution |
| 4 | 539,736,051 | 386,459,248 | `symmetry_bd_` | Symmetry boundary |
| 5 | 277,310,808 | 53,170,728 | `lopsided_` | Lopsided FD stencil |
| 6 | 155,534,488 | 94,535,040 | `decide3d_` | 3D grid decision |
| 7 | 119,267,712 | 19,266,048 | `rungekutta4_rout_` | RK4 time integrator |
| 8 | 91,574,616 | 48,824,160 | `kodis_` | Kreiss-Oliger dissipation |
| 9 | 67,555,389 | 43,243,680 | `fderivs_` | Finite differences |
| 10 | 55,296,000 | 42,246,144 | `misc::fact(int)` | Factorial utility |
| 11 | 43,191,071 | 27,663,328 | `fdderivs_` | 2nd-order FD derivatives |
| 12 | 36,233,965 | 22,429,440 | `restrict3_` | Grid restriction |
| 13 | 24,698,512 | 17,231,520 | `polin3_` | Polynomial interpolation |
| 14 | 22,962,942 | 20,968,768 | `copy_` | Data copy |
| 15 | 20,135,696 | 17,259,168 | `Ansorg::barycentric(...)` | Spectral interpolation |
| 16 | 14,650,224 | 7,224,768 | `Ansorg::barycentric_omega(...)` | Spectral weights |
| 17 | 13,242,296 | 2,871,920 | `global_interp_` | Global interpolation |
| 18 | 12,672,000 | 7,734,528 | `sommerfeld_rout_` | Sommerfeld boundary |
| 19 | 6,872,832 | 1,880,064 | `sommerfeld_routbam_` | Sommerfeld boundary (BAM) |
| 20 | 5,709,900 | 2,809,632 | `l2normhelper_` | L2 norm computation |
## 5. Hotspot Category Breakdown
Top 20 functions account for ~98% of total execution counts:
| Category | Functions | Combined Count | Share |
|----------|-----------|---------------|-------|
| Interpolation / Prolongation / Restriction | polint_, prolong3_, restrict3_, polin3_, global_interp_, Ansorg::* | ~2,093M | ~50% |
| BSSN RHS + FD stencils | compute_rhs_bssn_, lopsided_, fderivs_, fdderivs_ | ~1,056M | ~25% |
| Boundary conditions | symmetry_bd_, sommerfeld_rout_, sommerfeld_routbam_ | ~559M | ~13% |
| Time integration | rungekutta4_rout_ | ~119M | ~3% |
| Dissipation | kodis_ | ~92M | ~2% |
| Utilities | misc::fact, decide3d_, copy_, l2normhelper_ | ~256M | ~6% |
## 6. Conclusions
1. **Profile data is valid**: 1,392 functions instrumented, 117 exercised with ~4.2 billion total counts.
2. **Hotspot concentration is high**: Top 5 functions alone account for ~76% of all counts, which is ideal for PGO — the compiler has strong branch/layout optimization targets.
3. **Fortran numerical kernels dominate**: `polint_`, `prolong3_`, `compute_rhs_bssn_`, `symmetry_bd_`, `lopsided_` are all Fortran routines in the inner evolution loop. PGO will optimize their branch prediction and basic block layout.
4. **91.6% of functions have zero counts**: These are code paths for unused features (GPU, BSSN-EScalar, BSSN-EM, Z4C, etc.). PGO will deprioritize them, improving instruction cache utilization.
5. **Profile is representative**: Despite the reduced grid size, the code path coverage matches production — the same kernels (RHS, prolongation, restriction, boundary) are exercised. PGO branch probabilities from this profile will transfer well to full-scale runs.
## 7. PGO Phase 2 Usage
To apply the profile, use the following flags in `makefile.inc`:
```makefile
CXXAPPFLAGS = -O3 -xHost -fp-model fast=2 -fma -ipo \
-fprofile-instr-use=/home/amss/AMSS-NCKU/pgo_profile/default.profdata \
-Dfortran3 -Dnewc -I${MKLROOT}/include
f90appflags = -O3 -xHost -fp-model fast=2 -fma -ipo \
-fprofile-instr-use=/home/amss/AMSS-NCKU/pgo_profile/default.profdata \
-align array64byte -fpp -I${MKLROOT}/include
```
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@@ -808,10 +808,10 @@ def generate_ADMmass_plot( outdir, figure_outdir, detector_number_i ):
## Plot constraint violation for each grid level
def generate_constraint_check_plot( outdir, figure_outdir, input_level_number ):
# path to data file
file0 = os.path.join(outdir, "bssn_constraint.dat")
def generate_constraint_check_plot( outdir, figure_outdir, input_level_number ):
# path to data file
file0 = os.path.join(outdir, "bssn_constraint.dat")
if ( input_level_number == 0 ):
print( )
@@ -819,13 +819,26 @@ def generate_constraint_check_plot( outdir, figure_outdir, input_level_number ):
print( )
print( " corresponding data file = ", file0 )
print( )
print( " Begin the constraint violation plot for grid level number = ", input_level_number )
# load the full data file (assumed whitespace-separated floats)
data = numpy.loadtxt(file0)
# extract columns from the constraint data file
print( " Begin the constraint violation plot for grid level number = ", input_level_number )
if (not os.path.exists(file0)) or os.path.getsize(file0) == 0:
if ( input_level_number == 0 ):
print( " Constraint data file is empty; skip constraint violation plots" )
print( )
return
# load the full data file (assumed whitespace-separated floats)
data = numpy.loadtxt(file0)
data = numpy.atleast_2d(data)
if data.shape[1] < 8:
if ( input_level_number == 0 ):
print( " Constraint data file has insufficient columns; skip constraint violation plots" )
print( )
return
# extract columns from the constraint data file
time = data[:,0]
Constraint_H = data[:,1]
Constraint_Px = data[:,2]