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Author SHA1 Message Date
17109fde9b [TEST]UPSTREAM: Pick some source changes from 48080d0a97
* Sync new folder structure
2026-04-23 20:55:40 +08:00
c185f99ee3 UPSTREAM: Pick source changes from a5b2dd9e3c
Original message: fix bug
2026-04-23 20:18:44 +08:00
4a13a9d37a UPSTREAM: Pick some source changes from 57ec145e59 2026-04-23 20:10:12 +08:00
ac82ebd889 更新精度检查脚本加入图像比对检查 2026-04-15 00:49:46 +08:00
9c31384b2f Add optional BSSN kernel profiling switches 2026-04-13 16:51:06 +08:00
e4e741caa1 Remove dead chi derivative setup in BSSN RHS 2026-04-13 15:55:43 +08:00
65e0f95f40 Localize chi Ricci intermediates in RHS 2026-04-13 15:14:31 +08:00
f9fbf97e64 Elide dead stores in BSSN RHS hot path 2026-04-13 15:10:22 +08:00
968522995b Add fine-grained step timing and trim BH RHS overhead 2026-04-13 14:50:55 +08:00
f3988ac8ca Merge wave and mass extraction interpolation 2026-04-13 13:17:36 +08:00
e4c25eb21f Cache wave extraction angular kernels 2026-04-13 12:40:20 +08:00
4b10519876 Reuse mass integrand across detector radii 2026-04-13 11:55:41 +08:00
3a58273501 Batch constraint norm reductions 2026-04-13 11:48:02 +08:00
5c65cea2f0 Optimize constraint refresh after regrid 2026-04-13 11:39:50 +08:00
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
d310ef918b bssn_rhs(fortran): migrate C kernel loop-fusion optimizations 2026-03-03 16:20:15 +08:00
b35e1b289f 设置开关关闭内存打印统计 2026-03-03 16:17:47 +08:00
05851b2c59 关闭静态负载 2026-03-03 16:17:47 +08:00
3b39583d67 fix(bssn_rhs) 2026-03-03 16:06:33 +08:00
688bdb6708 Merge pull request 'cjy-dystopia' (#3) from cjy-dystopia into main
Reviewed-on: #3
2026-03-02 21:36:26 +08:00
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
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
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
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
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
42c69fab24 refactor(Parallel): streamline MPI communication by consolidating request handling and memory management 2026-03-02 17:37:13 +08:00
95220a05c8 optimize fdderivs core-region branch elimination for ghost_width=3 2026-03-02 17:33:26 +08:00
466b084a58 fix prolong/restrict index bounds after cherry-pick 12e1f63 2026-03-02 13:59:47 +08:00
61ccef9f97 prolong3: 减少Z-pass 冗余计算 2026-03-02 13:58:52 +08:00
e11363e06e Optimize fdderivs: skip redundant 2nd-order work in 4th-order overlap 2026-03-02 03:21:21 +08:00
f70e90f694 prolong3:提升cache命中率 2026-03-02 03:05:35 +08:00
jaunatisblue
75dd5353b0 修改prolong 2026-03-02 02:25:25 +08:00
jaunatisblue
23a82d063b 对prolong3做访存优化 2026-03-02 02:25:25 +08:00
524d1d1512 Merge pull request 'cjy-dystopia' (#2) from cjy-dystopia into main
Reviewed-on: #2
2026-03-01 19:22:09 +08:00
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
16013081e0 Optimize symmetry_bd with stride-based fast paths 2026-03-01 15:50:56 +08:00
03416a7b28 perf(polint): add uniform-grid fast path for barycentric n=6 2026-03-01 13:26:39 +08:00
cca3c16c2b perf(polint): add switchable barycentric ordn=6 path 2026-03-01 13:20:46 +08:00
e5231849ee perf(polin3): switch to lagrange-weight tensor contraction 2026-03-01 13:04:33 +08:00
a766e49ff0 perf(polint): add ordn=6 specialized neville path 2026-03-01 12:39:53 +08:00
1a518cd3f6 Optimize average2: use DO CONCURRENT loop form 2026-03-01 00:41:32 +08:00
1dc622e516 Optimize average2: replace array expression with explicit loops 2026-03-01 00:33:01 +08:00
3046a0ccde Optimize prolong3: hoist bounds check out of inner loop 2026-03-01 00:17:30 +08:00
d4ec69c98a Optimize prolong3: replace parity branches with coefficient lookup 2026-02-28 23:59:57 +08:00
2c0a3055d4 Optimize prolong3: precompute coarse index/parity maps 2026-02-28 23:53:30 +08:00
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
b91cfff301 Add switchable C RK4 kernel and build toggle 2026-02-28 21:12:19 +08:00
e29ca2dca9 build: switch allocator option to oneTBB tbbmalloc 2026-02-28 17:16:00 +08:00
6493101ca0 bssn_rhs_c: recompute contracted Gamma terms to remove temp arrays 2026-02-28 16:34:23 +08:00
169986cde1 bssn_rhs_c: compute div_beta on-the-fly to remove temp array 2026-02-28 16:25:57 +08:00
1fbc213888 bssn_rhs_c: remove gxx/gyy/gzz temporaries in favor of dxx/dyy/dzz+1 2026-02-28 15:50:52 +08:00
6024708a48 derivs_c: split low/high stencil regions to reduce branch overhead 2026-02-28 15:42:31 +08:00
bc457d981e bssn_rhs_c: merge lopsided+kodis with shared symmetry buffer 2026-02-28 15:23:01 +08:00
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
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
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
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
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
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
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
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
3cee05f262 Merge branch 'cjy-oneapi-opus-hotfix' 2026-02-27 15:13:40 +08:00
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
jaunatisblue
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
9c33e16571 增加C算子PGO文件 2026-02-27 11:30:36 +08:00
45b7a43576 补全C算子和Fortran算子的数学差异 2026-02-26 15:48:11 +08:00
dfb79e3e11 Initialize output arrays to zero in fdderivs_c.C and fderivs_c.C 2026-02-26 14:18:31 +08:00
d2c2214fa1 补充TwoPunctureABE专用PGO插桩文件 2026-02-25 23:06:17 +08:00
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
f5a63f1e42 Revert "Fix timing: replace clock() with MPI_Wtime() for wall-clock measurement"
This reverts commit 09b937c022.
2026-02-25 22:21:43 +08:00
284ab80baf Remove OpenMP from C rewrite kernel
The C rewrite introduced OpenMP parallelism. Remove all OpenMP.
2026-02-25 22:21:20 +08:00
copilot-swe-agent[bot]
09b937c022 Fix timing: replace clock() with MPI_Wtime() for wall-clock measurement
clock() measures total CPU time across all threads, not wall-clock
time. With the new OpenMP parallel regions in bssn_rhs_c.C, clock()
sums CPU time from all OpenMP threads, producing inflated timing that
scales with thread count rather than reflecting actual elapsed time.

MPI_Wtime() returns wall-clock seconds, giving accurate timing
regardless of the number of OpenMP threads running inside the
measured interval.

Co-authored-by: ianchb <i@4t.pw>
2026-02-25 22:21:19 +08:00
wingrew
8a9c775705 Replace Fortran bssn_rhs with C implementation and add C helper kernels
- Modify bssn_rhs_c.C to use existing project headers (macrodef.h, bssn_rhs.h)
- Update makefile: remove bssn_rhs.o from F90FILES, add CFILES with OpenMP
- Keep Fortran helper files (diff_new.f90, kodiss.f90, lopsidediff.f90) for other Fortran callers

[copilot: fix compiling errors & a nan error]

Co-authored-by: ianchb <i@4t.pw>
Co-authored-by: copilot-swe-agent[bot] <198982749+copilot@users.noreply.github.com>
2026-02-25 22:21:19 +08:00
d942122043 更新PGO文件 2026-02-25 18:25:20 +08:00
a5c713a7e0 完善PGO机制 2026-02-25 17:22:56 +08:00
9e6b25163a 更新 PGO profdata 并为 ABE 插桩编译添加 PGO_MODE 开关
- 更新 pgo_profile/default.profdata 为最新收集的 profile 数据
- 备份旧 profdata 至 default.profdata.backup2
- makefile: 新增 PGO_MODE 开关(默认 opt),支持 make PGO_MODE=instrument
  切换到 Phase 1 插桩模式重新收集数据,无需手动修改 flags
- makefile: TwoPunctureABE 独立使用 TP_OPTFLAGS,不受 PGO_MODE 影响
- makefile: PROFDATA 路径改为 /home/$(shell whoami)/AMSS-NCKU/pgo_profile/default.profdata
- makefile.inc: 移除硬编码的编译 flags,改由 makefile 中的 ifeq 逻辑管理

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-25 17:00:55 +08:00
CGH0S7
efc8bf29ea 按需失效同步缓存:Regrid_Onelevel 改为返回 bool
将 cgh::Regrid_Onelevel 的返回类型从 void 改为 bool,
在网格真正发生移动时返回 true,否则返回 false。
调用方仅在返回 true 时才失效 sync_cache_*,避免了
每次 RecursiveStep 结束后无条件失效所有层级缓存的冗余开销。

Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
2026-02-25 16:00:26 +08:00
CGH0S7
ccf6adaf75 提供正确的macrodef.h避免llm被误导 2026-02-25 11:47:14 +08:00
CGH0S7
e2bc472845 优化绑核逻辑,取消硬编码改为智能识别 2026-02-25 10:59:32 +08:00
e6329b013d Merge branch 'cjy-oneapi-opus-hotfix' 2026-02-20 14:18:33 +08:00
82339f5282 Merge lopsided advection + kodis dissipation to share symmetry_bd buffer
Cherry-picked from 38c2c30.
2026-02-20 13:36:27 +08:00
94f38c57f9 Don't hardcode pgo profile path 2026-02-20 13:36:27 +08:00
85d1e8de87 Add Intel SIMD vectorization directives to hot-spot functions
Apply Intel Advisor optimization recommendations:
- Add FORCEINLINE to polint for better inlining
- Add SIMD VECTORLENGTHFOR and UNROLL directives to fderivs,
  fdderivs, symmetry_bd, and kodis functions

This improves vectorization efficiency of finite difference
computations.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-14 00:43:39 +08:00
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
72ce153e48 Merge cjy-oneapi-opus-hotfix into main 2026-02-11 19:15:12 +08:00
5b7e05cd32 PGO updated 2026-02-11 18:26:30 +08:00
85afe00fc5 Merge plotting optimizations from chb-copilot-test
- Implement multiprocessing-based parallel plotting
- Add parallel_plot_helper.py for concurrent plot task execution
- Use matplotlib 'Agg' backend for multiprocessing safety
- Set OMP_NUM_THREADS=1 to prevent BLAS thread explosion
- Use subprocess for binary data plots to avoid thread conflicts
- Add fork bomb protection in main program

This merge only includes plotting improvements and excludes
MPI communication changes to preserve existing optimizations.

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-11 16:19:17 +08:00
5c1790277b Replace nested OutBdLow2Hi loops with batch calls in RestrictProlong
The 8 nested while(Ppc){while(Pp){OutBdLow2Hi(single,single,...)}}
loops across RestrictProlong (3 overloads) and ProlongRestrict each
produced N_c × N_f separate transfer() → MPI_Waitall barriers.
Replace with the existing batch OutBdLow2Hi(MyList<Patch>*,...) which
merges all patch pairs into a single transfer() call with 1 MPI_Waitall.

Also add Restrict_cached, OutBdLow2Hi_cached, OutBdLow2Himix_cached
to Parallel (unused for now — kept as infrastructure for future use).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-02-11 16:09:08 +08:00
e09ae438a2 Cache data_packer lengths in Sync_start to skip redundant buffer-size traversals
The data_packer(NULL, ...) calls that compute send/recv buffer lengths
traverse all grid segments × variables × nprocs on every Sync_start
invocation, even though lengths never change once the cache is built.
Add a lengths_valid flag to SyncCache so these length computations are
done once and reused on subsequent calls (4× per RK4 step).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-02-10 21:39:22 +08:00
d06d5b4db8 Add targeted point-to-point Interp_Points overload for surface_integral
Instead of broadcasting all interpolated point data to every MPI rank,
the new overload sends each point only to the one rank that needs it
for integration, reducing communication volume by ~nprocs times.

The consumer rank is computed deterministically using the same Nmin/Nmax
work distribution formula used by surface_integral callers. Two active
call sites (surf_Wave and surf_MassPAng with MPI_COMM_WORLD) now use
the new overload. Other callers (ShellPatch, Comm_here variants, etc.)
remain unchanged.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-02-10 19:18:56 +08:00
50e2a845f8 Replace MPI_Allreduce with owner-rank MPI_Bcast in Patch::Interp_Points
The two MPI_Allreduce calls (data + weight) were the #1 hotspot at 38.5%
CPU time. Since all ranks traverse the same block list and agree on point
ownership, we replace the global reduction with targeted MPI_Bcast from
each owner rank. This also eliminates the weight array/Allreduce entirely,
removes redundant heap allocations (shellf, weight, DH, llb, uub), and
writes interpolation results directly into the output buffer.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-09 22:39:18 +08:00
738498cb28 Optimize MPI communication in RestrictProlong and surface_integral
Cache Sync in RestrictProlong: replace 11 basic Parallel::Sync() calls
with Parallel::Sync_cached() across RestrictProlong, RestrictProlong_aux,
and ProlongRestrict to avoid rebuilding grid segment lists every call.

Merge paired MPI_Allreduce in surface_integral: combine 9 pairs of
consecutive RP/IP Allreduce calls into single calls with count=2*NN.

Merge scalar MPI_Allreduce in surf_MassPAng: combine 3 groups of 7
scalar Allreduce calls (mass + angular/linear momentum) into single
calls with count=7.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-09 22:07:12 +08:00
42b9cf1ad9 Optimize MPI Sync with merged transfers, caching, and async overlap
Phase 1: Merge N+1 transfer() calls into a single transfer() per
Sync(PatchList), reducing N+1 MPI_Waitall barriers to 1 via new
Sync_merged() that collects all intra-patch and inter-patch grid
segment lists into combined per-rank arrays.

Phase 2: Cache grid segment lists and reuse grow-only communication
buffers across RK4 substeps via SyncCache struct. Caches are per-level
and per-variable-list (predictor/corrector), invalidated on regrid.
Eliminates redundant build_ghost_gsl/build_owned_gsl0/build_gstl
rebuilds and malloc/free cycles between regrids.

Phase 3: Split Sync into async Sync_start/Sync_finish to overlap
Cartesian ghost zone exchange (MPI_Isend/Irecv) with Shell patch
synchronization. Uses MPI tag 2 to avoid conflicts with SH->Synch()
which uses transfer() with tag 1.

Also updates makefile.inc paths and flags for local build environment.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-09 21:03:37 +08:00
e9d321fd00 Convert MPI_Allreduce error checks to non-blocking MPI_Iallreduce overlapped with Sync
Replace all 8 blocking MPI_Allreduce error-check calls with MPI_Iallreduce,
overlapping the reduction with subsequent Parallel::Sync/SH->Synch operations.
MPI_Wait is called after Sync completes to retrieve the error result.

This hides the Allreduce latency (46.5% of CPU time) behind the ghost zone
exchange communication that must happen anyway. Safe because Sync only copies
existing data to ghost zones and the error check + abort happens before any
further computation uses the synced data.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-09 12:39:29 +08:00
ed1d86ade9 Merge paired MPI_Allreduce error checks to reduce global sync barriers
In the two Step() functions that handle both Patch and Shell Patch,
defer the Patch error check until after Shell Patch computation completes,
then perform a single combined MPI_Allreduce instead of two separate ones.
This eliminates 4 MPI_Allreduce calls per timestep (2 per Step function,
Predictor + Corrector phases each). The optimization is mathematically
equivalent: in normal execution (no NaN) behavior is identical; on error,
both Patch and Shell data are dumped before MPI_Abort.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-09 12:12:16 +08:00
471baa5065 PGO supported 2026-02-09 10:59:26 +08:00
4bb6c03013 makefile setting updated 2026-02-08 16:14:43 +08:00
b8e41b2b39 Only enable OpenMP for TwoPunctures 2026-02-08 13:00:37 +08:00
133e4f13a2 Use OpenMP's parallel for with schedule(dynamic,1) 2026-02-07 19:48:24 +08:00
914c4f4791 Optimize memory allocation in JFD_times_dv
This should reduce the pressure on the memory allocator, indirectly improving caching behavior.

Co-authored-by: copilot-swe-agent[bot] <198982749+copilot@users.noreply.github.com>
2026-02-07 15:55:45 +08:00
f345b0e520 Performance optimization for the TwoPunctures module
* Re-enabled OpenMP.

1. Batch spectral derivatives (Chebyshev & Fourier) via precomputed matrices:
Chebyshev/Fourier transforms and derivatives are precomputed as explicit physical-space operator matrices.
Batch DGEMM now applies to entire tensor fields, mathematically identical to original per-line transforms but vastly faster.

2. Gauss-Seidel relaxation & tridiagonal solver workspace reuse:
Per-thread reusable workspaces replace per-call heap new/delete in all tridiagonal and relaxation routines.

3. Efficient OpenMP multithreading throughout relaxation/deriv:
relax_omp and friends parallelize over grouped lines/planes, maximizing threading efficiency and memory independence.

Co-authored-by: copilot-swe-agent[bot] <198982749+copilot@users.noreply.github.com>
2026-02-07 14:48:47 +08:00
f5ed23d687 Revert "Eliminate hot-path heap allocations in TwoPunctures spectral solver"
This reverts commit 09ffdb553d.
2026-02-07 14:45:25 +08:00
03d501db04 Display the runtime of TwoPunctures 2026-02-07 14:45:16 +08:00
09ffdb553d Eliminate hot-path heap allocations in TwoPunctures spectral solver
Pre-allocate workspace buffers as class members to remove ~8M malloc/free
pairs per Newton iteration from LineRelax, ThomasAlgorithm, JFD_times_dv,
J_times_dv, chebft_Zeros, fourft, Derivatives_AB3, and F_of_v.
Rewrite ThomasAlgorithm to operate in-place on input arrays.
Results are bit-identical; no algorithmic changes.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-06 21:20:35 +08:00
699e443c7a Optimize polint/polin2/polin3 interpolation for cache locality
Changes:
- polint: Rewrite Neville algorithm from array-slice operations to
  scalar loop. Mathematically identical, avoids temporary array
  allocations for den(1:n-m) slices. (Credit: yx-fmisc branch)

- polin2: Swap interpolation order so inner loop accesses ya(:,j)
  (contiguous in Fortran column-major) instead of ya(i,:) (strided).
  Tensor product interpolation is commutative; all call sites pass
  identical coordinate arrays for all dimensions.

- polin3: Swap interpolation order to process contiguous first
  dimension first: ya(:,j,k) -> yatmp(:,k) -> ymtmp(:).
  Same commutativity argument as polin2.

Compile-time safety switch:
  -DPOLINT_LEGACY_ORDER  restores original dimension ordering
  Default (no flag):     uses optimized contiguous-memory ordering

Usage:
  # Production (optimized order):
  make clean && make -j ABE

  # Fallback if results differ (original order):
  Add -DPOLINT_LEGACY_ORDER to f90appflags in makefile.inc

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-06 19:00:35 +08:00
24bfa44911 Disable NaN sanity check in bssn_rhs.f90 for production builds
Wrap the NaN sanity check (21 sum() full-array traversals per RHS call)
with #ifdef DEBUG so it is compiled out in production builds.

This eliminates 84 redundant full-array scans per timestep (21 per RHS
call × 4 RK4 substages) that serve no purpose when input data is valid.

Usage:
  - Production build (default): NaN check is disabled, no changes needed.
  - Debug build: add -DDEBUG to f90appflags in makefile.inc, e.g.
      f90appflags = -O3 ... -DDEBUG -fpp ...
    to re-enable the NaN sanity check.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-06 18:36:29 +08:00
6738854a9d Compiler-level and hot-path optimizations for GW150914
- makefile.inc: add -ipo (interprocedural optimization) and
  -align array64byte (64-byte array alignment for vectorization)
- fmisc.f90: remove redundant funcc=0.d0 zeroing from symmetry_bd,
  symmetry_tbd, symmetry_stbd (~328+ full-array memsets eliminated
  per timestep)
- enforce_algebra.f90: rewrite enforce_ag and enforce_ga as point-wise
  loops, replacing 12 stack-allocated 3D temporary arrays with scalar
  locals for better cache locality

All changes are mathematically equivalent — no algorithmic modifications.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-06 17:13:39 +08:00
223ec17a54 input updated 2026-02-06 13:57:48 +08:00
CGH0S7
79af79d471 baseline updated 2026-02-05 19:53:55 +08:00
26c81d8e81 makefile updated 2026-01-19 23:53:16 +08:00
233 changed files with 196647 additions and 188509 deletions

6
.idea/vcs.xml generated Normal file
View File

@@ -0,0 +1,6 @@
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="VcsDirectoryMappings">
<mapping directory="" vcs="Git" />
</component>
</project>

View File

@@ -16,7 +16,7 @@ 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 = 48 ## number of mpi processes used in the simulation
MPI_processes = 64 ## number of mpi processes used in the simulation
GPU_Calculation = "no" ## Use GPU or not
## (prefer "no" in the current version, because the GPU part may have bugs when integrated in this Python interface)

View File

@@ -8,6 +8,14 @@
##
##################################################################
## Guard against re-execution by multiprocessing child processes.
## Without this, using 'spawn' or 'forkserver' context would cause every
## worker to re-run the entire script, spawning exponentially more
## workers (fork bomb).
if __name__ != '__main__':
import sys as _sys
_sys.exit(0)
##################################################################
@@ -118,11 +126,6 @@ setup.generate_AMSSNCKU_input()
#inputvalue = input() ## Wait for user input (press Enter) to proceed
#print()
setup.print_puncture_information()
##################################################################
## Generate AMSS-NCKU program input files based on the configured parameters
print( )
@@ -262,6 +265,12 @@ 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
@@ -298,7 +307,7 @@ if (input_data.Initial_Data_Method == "Ansorg-TwoPuncture" ):
import generate_TwoPuncture_input
generate_TwoPuncture_input.generate_AMSSNCKU_TwoPuncture_input()
generate_TwoPuncture_input.generate_AMSSNCKU_TwoPuncture_input(numerical_grid.puncture_data)
print( )
print( " The input parfile for the TwoPunctureABE executable has been generated. " )
@@ -340,7 +349,7 @@ if (input_data.Initial_Data_Method == "Ansorg-TwoPuncture" ):
import renew_puncture_parameter
renew_puncture_parameter.append_AMSSNCKU_BSSN_input(File_directory, output_directory)
renew_puncture_parameter.append_AMSSNCKU_BSSN_input(File_directory, output_directory, numerical_grid.puncture_data)
## Generated AMSS-NCKU input filename
@@ -424,26 +433,31 @@ print(
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_xiaoqu.generate_puncture_orbit_plot( binary_results_directory, figure_directory )
plot_xiaoqu.generate_puncture_orbit_plot3D( binary_results_directory, figure_directory )
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_xiaoqu.generate_puncture_distence_plot( binary_results_directory, figure_directory )
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_xiaoqu.generate_gravitational_wave_psi4_plot( binary_results_directory, figure_directory, i )
plot_GW_strain_amplitude_xiaoqu.generate_gravitational_wave_amplitude_plot( binary_results_directory, figure_directory, i )
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_xiaoqu.generate_ADMmass_plot( binary_results_directory, figure_directory, i )
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_xiaoqu.generate_constraint_check_plot( binary_results_directory, figure_directory, i )
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
plot_xiaoqu.generate_binary_data_plot( binary_results_directory, figure_directory )

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)
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
@@ -19,6 +28,10 @@ Reference: GW150914-origin (baseline simulation)
import numpy as np
import sys
import os
import shutil
import subprocess
import tempfile
from PIL import Image
# ANSI Color Codes
class Color:
@@ -58,78 +71,187 @@ def load_constraint_data(filepath):
return np.array(data)
def calculate_rms_error(bh_data_ref, bh_data_target):
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_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)}")
return 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 all_passed
def print_constraint_results(results, threshold=2.0):
"""Print constraint violation results"""
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):
@@ -199,19 +319,45 @@ def print_constraint_results(results, threshold=2.0):
return passed
def print_summary(rms_passed, constraint_passed):
"""Print summary"""
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
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] RMS trajectory check: {res_rms}")
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")
target_figure_dir = resolve_figure_dir(target_dir)
reference_figure_dir = os.path.join(script_dir, "GW150914-origin/figure")
# 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(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)
# 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)
# Analyze constraint violation
# Output constraint results
constraint_results = analyze_constraint_violation(constraint_data)
constraint_passed = print_constraint_results(constraint_results)
# Print summary
all_passed = print_summary(rms_passed, constraint_passed)
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))
# Return exit code
all_passed = print_summary(rms_passed, constraint_passed, figure_passed)
sys.exit(0 if all_passed else 1)
if __name__ == "__main__":
main()

View File

@@ -48,6 +48,7 @@ public:
double StartTime, TotalTime;
double AnasTime, DumpTime, d2DumpTime, CheckTime;
double LastAnas, LastConsOut;
int *ConstraintRefreshLevels;
double Courant;
double numepss, numepsb, numepsh;
int Symmetry;
@@ -126,8 +127,15 @@ public:
MyList<var> *OldStateList, *DumpList;
MyList<var> *ConstraintList;
Parallel::SyncCache *sync_cache_pre; // per-level cache for predictor sync
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;
monitor *ConVMonitor, *TimingMonitor;
surface_integral *Waveshell;
checkpoint *CheckPoint;

View File

@@ -62,6 +62,7 @@
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:
@@ -85,6 +86,13 @@
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
@@ -97,7 +105,7 @@
#endif
#if (GAUGE == 6 || GAUGE == 7)
integer :: BHN,i,j,k
integer :: BHN
real*8, dimension(9) :: Porg
real*8, dimension(3) :: Mass
real*8 :: r1,r2,M,A,w1,w2,C1,C2
@@ -106,7 +114,8 @@
call getpbh(BHN,Porg,Mass)
#endif
!!! sanity check
!!! sanity check (disabled in production builds for performance)
#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) &
@@ -136,6 +145,7 @@
gont = 1
return
endif
#endif
PI = dacos(-ONE)
@@ -143,22 +153,24 @@
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)
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)
@@ -166,151 +178,179 @@
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)
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
gyy_rhs = - TWO * alpn1 * Ayy - F2o3 * gyy * div_beta + &
TWO *( gxy * betaxy + gyy * betayy + gyz * betazy)
chi_rhs(i,j,k) = F2o3 * chin1(i,j,k) * (alpn1(i,j,k) * trK(i,j,k) - divb_loc)
gzz_rhs = - TWO * alpn1 * Azz - F2o3 * gzz * div_beta + &
TWO *( gxz * betaxz + gyz * betayz + gzz * betazz)
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) )
gxy_rhs = - TWO * alpn1 * Axy + F1o3 * gxy * div_beta + &
gxx * betaxy + gxz * betazy + &
gyy * betayx + gyz * betazx &
- gxy * betazz
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) )
gyz_rhs = - TWO * alpn1 * Ayz + F1o3 * gyz * div_beta + &
gxy * betaxz + gyy * betayz + &
gxz * betaxy + gzz * betazy &
- gyz * betaxx
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) )
gxz_rhs = - TWO * alpn1 * Axz + F1o3 * gxz * div_beta + &
gxx * betaxz + gxy * betayz + &
gyz * betayx + gzz * betazx &
- gxz * betayy !rhs for gij
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)
! 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
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
! 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))
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
! 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 ))
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 =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 ))
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 =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)
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 =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 ) )
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 =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 )
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 =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 )
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
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)
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)
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 ) )
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
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 ) )
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))
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 ) )
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)
@@ -319,38 +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)
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)
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 )
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)
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 )
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
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
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
@@ -602,189 +658,187 @@
!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
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)
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:
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 = 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
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)
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
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
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
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
! 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(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)
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:
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)
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
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
! Compute trace-free part (note: chi^-1 and chi cancel!):
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 = F1o3 *( gupxx * fxx + gupyy * fyy + gupzz * fzz + &
TWO* ( gupxy * fxy + gupxz * fxz + gupyz * fyz ) )
#endif
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
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
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)
! Now: store A_il A^l_j into fij:
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 = 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)
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))
f = chin1
! store D^i D_i Lap in trK_rhs
trK_rhs = f*trK_rhs
trK_rhs(i,j,k) = chin_loc * trK_rhs(i,j,k)
Axx_rhs = f * Axx_rhs+ alpn1 * (trK * Axx - TWO * fxx) + &
TWO * ( Axx * betaxx + Axy * betayx + Axz * betazx )- &
F2o3 * Axx * div_beta
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)
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
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
@@ -943,103 +997,60 @@
SSA(2)=SYM
SSA(3)=ANTI
!!!!!!!!!advection term part
!!!!!!!!!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): stencil coefficients sum to zero,
! so the constant offset has no effect on dissipation.
call lopsided(ex,X,Y,Z,gxx,gxx_rhs,betax,betay,betaz,Symmetry,SSS)
call lopsided(ex,X,Y,Z,gxy,gxy_rhs,betax,betay,betaz,Symmetry,AAS)
call lopsided(ex,X,Y,Z,gxz,gxz_rhs,betax,betay,betaz,Symmetry,ASA)
call lopsided(ex,X,Y,Z,gyy,gyy_rhs,betax,betay,betaz,Symmetry,SSS)
call lopsided(ex,X,Y,Z,gyz,gyz_rhs,betax,betay,betaz,Symmetry,SAA)
call lopsided(ex,X,Y,Z,gzz,gzz_rhs,betax,betay,betaz,Symmetry,SSS)
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(ex,X,Y,Z,Axx,Axx_rhs,betax,betay,betaz,Symmetry,SSS)
call lopsided(ex,X,Y,Z,Axy,Axy_rhs,betax,betay,betaz,Symmetry,AAS)
call lopsided(ex,X,Y,Z,Axz,Axz_rhs,betax,betay,betaz,Symmetry,ASA)
call lopsided(ex,X,Y,Z,Ayy,Ayy_rhs,betax,betay,betaz,Symmetry,SSS)
call lopsided(ex,X,Y,Z,Ayz,Ayz_rhs,betax,betay,betaz,Symmetry,SAA)
call lopsided(ex,X,Y,Z,Azz,Azz_rhs,betax,betay,betaz,Symmetry,SSS)
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)
call lopsided_kodis(ex,X,Y,Z,Axz,Axz_rhs,betax,betay,betaz,Symmetry,ASA,eps)
call lopsided_kodis(ex,X,Y,Z,Ayy,Ayy_rhs,betax,betay,betaz,Symmetry,SSS,eps)
call lopsided_kodis(ex,X,Y,Z,Ayz,Ayz_rhs,betax,betay,betaz,Symmetry,SAA,eps)
call lopsided_kodis(ex,X,Y,Z,Azz,Azz_rhs,betax,betay,betaz,Symmetry,SSS,eps)
call lopsided(ex,X,Y,Z,chi,chi_rhs,betax,betay,betaz,Symmetry,SSS)
call lopsided(ex,X,Y,Z,trK,trK_rhs,betax,betay,betaz,Symmetry,SSS)
call lopsided_kodis(ex,X,Y,Z,chi,chi_rhs,betax,betay,betaz,Symmetry,SSS,eps)
call lopsided_kodis(ex,X,Y,Z,trK,trK_rhs,betax,betay,betaz,Symmetry,SSS,eps)
call lopsided(ex,X,Y,Z,Gamx,Gamx_rhs,betax,betay,betaz,Symmetry,ASS)
call lopsided(ex,X,Y,Z,Gamy,Gamy_rhs,betax,betay,betaz,Symmetry,SAS)
call lopsided(ex,X,Y,Z,Gamz,Gamz_rhs,betax,betay,betaz,Symmetry,SSA)
!!
call lopsided_kodis(ex,X,Y,Z,Gamx,Gamx_rhs,betax,betay,betaz,Symmetry,ASS,eps)
call lopsided_kodis(ex,X,Y,Z,Gamy,Gamy_rhs,betax,betay,betaz,Symmetry,SAS,eps)
call lopsided_kodis(ex,X,Y,Z,Gamz,Gamz_rhs,betax,betay,betaz,Symmetry,SSA,eps)
#if 1
!! bam does not apply dissipation on gauge variables
call lopsided_kodis(ex,X,Y,Z,Lap,Lap_rhs,betax,betay,betaz,Symmetry,SSS,eps)
#if (GAUGE == 0 || GAUGE == 1 || GAUGE == 2 || GAUGE == 3 || GAUGE == 4 || GAUGE == 5 || GAUGE == 6 || GAUGE == 7)
call lopsided_kodis(ex,X,Y,Z,betax,betax_rhs,betax,betay,betaz,Symmetry,ASS,eps)
call lopsided_kodis(ex,X,Y,Z,betay,betay_rhs,betax,betay,betaz,Symmetry,SAS,eps)
call lopsided_kodis(ex,X,Y,Z,betaz,betaz_rhs,betax,betay,betaz,Symmetry,SSA,eps)
#endif
#if (GAUGE == 0 || GAUGE == 2 || GAUGE == 3 || GAUGE == 6 || GAUGE == 7)
call lopsided_kodis(ex,X,Y,Z,dtSfx,dtSfx_rhs,betax,betay,betaz,Symmetry,ASS,eps)
call lopsided_kodis(ex,X,Y,Z,dtSfy,dtSfy_rhs,betax,betay,betaz,Symmetry,SAS,eps)
call lopsided_kodis(ex,X,Y,Z,dtSfz,dtSfz_rhs,betax,betay,betaz,Symmetry,SSA,eps)
#endif
#else
! No dissipation on gauge variables (advection only)
call lopsided(ex,X,Y,Z,Lap,Lap_rhs,betax,betay,betaz,Symmetry,SSS)
#if (GAUGE == 0 || GAUGE == 1 || GAUGE == 2 || GAUGE == 3 || GAUGE == 4 || GAUGE == 5 || GAUGE == 6 || GAUGE == 7)
call lopsided(ex,X,Y,Z,betax,betax_rhs,betax,betay,betaz,Symmetry,ASS)
call lopsided(ex,X,Y,Z,betay,betay_rhs,betax,betay,betaz,Symmetry,SAS)
call lopsided(ex,X,Y,Z,betaz,betaz_rhs,betax,betay,betaz,Symmetry,SSA)
#endif
#if (GAUGE == 0 || GAUGE == 2 || GAUGE == 3 || GAUGE == 6 || GAUGE == 7)
call lopsided(ex,X,Y,Z,dtSfx,dtSfx_rhs,betax,betay,betaz,Symmetry,ASS)
call lopsided(ex,X,Y,Z,dtSfy,dtSfy_rhs,betax,betay,betaz,Symmetry,SAS)
call lopsided(ex,X,Y,Z,dtSfz,dtSfz_rhs,betax,betay,betaz,Symmetry,SSA)
#endif
if(eps>0)then
! usual Kreiss-Oliger dissipation
call kodis(ex,X,Y,Z,chi,chi_rhs,SSS,Symmetry,eps)
call kodis(ex,X,Y,Z,trK,trK_rhs,SSS,Symmetry,eps)
call kodis(ex,X,Y,Z,dxx,gxx_rhs,SSS,Symmetry,eps)
call kodis(ex,X,Y,Z,gxy,gxy_rhs,AAS,Symmetry,eps)
call kodis(ex,X,Y,Z,gxz,gxz_rhs,ASA,Symmetry,eps)
call kodis(ex,X,Y,Z,dyy,gyy_rhs,SSS,Symmetry,eps)
call kodis(ex,X,Y,Z,gyz,gyz_rhs,SAA,Symmetry,eps)
call kodis(ex,X,Y,Z,dzz,gzz_rhs,SSS,Symmetry,eps)
#if 0
#define i 42
#define j 40
#define k 40
if(Lev == 1)then
write(*,*) X(i),Y(j),Z(k)
write(*,*) "before",Axx_rhs(i,j,k)
endif
#undef i
#undef j
#undef k
!!stop
#endif
call kodis(ex,X,Y,Z,Axx,Axx_rhs,SSS,Symmetry,eps)
#if 0
#define i 42
#define j 40
#define k 40
if(Lev == 1)then
write(*,*) X(i),Y(j),Z(k)
write(*,*) "after",Axx_rhs(i,j,k)
endif
#undef i
#undef j
#undef k
!!stop
#endif
call kodis(ex,X,Y,Z,Axy,Axy_rhs,AAS,Symmetry,eps)
call kodis(ex,X,Y,Z,Axz,Axz_rhs,ASA,Symmetry,eps)
call kodis(ex,X,Y,Z,Ayy,Ayy_rhs,SSS,Symmetry,eps)
call kodis(ex,X,Y,Z,Ayz,Ayz_rhs,SAA,Symmetry,eps)
call kodis(ex,X,Y,Z,Azz,Azz_rhs,SSS,Symmetry,eps)
call kodis(ex,X,Y,Z,Gamx,Gamx_rhs,ASS,Symmetry,eps)
call kodis(ex,X,Y,Z,Gamy,Gamy_rhs,SAS,Symmetry,eps)
call kodis(ex,X,Y,Z,Gamz,Gamz_rhs,SSA,Symmetry,eps)
#if 1
!! bam does not apply dissipation on gauge variables
call kodis(ex,X,Y,Z,Lap,Lap_rhs,SSS,Symmetry,eps)
call kodis(ex,X,Y,Z,betax,betax_rhs,ASS,Symmetry,eps)
call kodis(ex,X,Y,Z,betay,betay_rhs,SAS,Symmetry,eps)
call kodis(ex,X,Y,Z,betaz,betaz_rhs,SSA,Symmetry,eps)
#if (GAUGE == 0 || GAUGE == 2 || GAUGE == 3 || GAUGE == 6 || GAUGE == 7)
call kodis(ex,X,Y,Z,dtSfx,dtSfx_rhs,ASS,Symmetry,eps)
call kodis(ex,X,Y,Z,dtSfy,dtSfy_rhs,SAS,Symmetry,eps)
call kodis(ex,X,Y,Z,dtSfz,dtSfz_rhs,SSA,Symmetry,eps)
#endif
#endif
endif
if(co == 0)then
! ham_Res = trR + 2/3 * K^2 - A_ij * A^ij - 16 * PI * rho

View File

@@ -32,6 +32,19 @@
#define f_compute_rhs_Z4c_ss compute_rhs_z4c_ss_
#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

File diff suppressed because it is too large Load Diff

View File

@@ -19,48 +19,60 @@
!~~~~~~~> Local variable:
real*8, dimension(ex(1),ex(2),ex(3)) :: trA,detg
real*8, dimension(ex(1),ex(2),ex(3)) :: gxx,gyy,gzz
real*8, dimension(ex(1),ex(2),ex(3)) :: gupxx,gupxy,gupxz,gupyy,gupyz,gupzz
integer :: i,j,k
real*8 :: lgxx,lgyy,lgzz,ldetg
real*8 :: lgupxx,lgupxy,lgupxz,lgupyy,lgupyz,lgupzz
real*8 :: ltrA,lscale
real*8, parameter :: F1o3 = 1.D0 / 3.D0, ONE = 1.D0, TWO = 2.D0
!~~~~~~>
gxx = dxx + ONE
gyy = dyy + ONE
gzz = dzz + ONE
do k=1,ex(3)
do j=1,ex(2)
do i=1,ex(1)
detg = gxx * gyy * gzz + gxy * gyz * gxz + gxz * gxy * gyz - &
gxz * gyy * gxz - gxy * gxy * gzz - gxx * gyz * gyz
gupxx = ( gyy * gzz - gyz * gyz ) / detg
gupxy = - ( gxy * gzz - gyz * gxz ) / detg
gupxz = ( gxy * gyz - gyy * gxz ) / detg
gupyy = ( gxx * gzz - gxz * gxz ) / detg
gupyz = - ( gxx * gyz - gxy * gxz ) / detg
gupzz = ( gxx * gyy - gxy * gxy ) / detg
lgxx = dxx(i,j,k) + ONE
lgyy = dyy(i,j,k) + ONE
lgzz = dzz(i,j,k) + ONE
trA = gupxx * Axx + gupyy * Ayy + gupzz * Azz &
+ TWO * (gupxy * Axy + gupxz * Axz + gupyz * Ayz)
ldetg = lgxx * lgyy * lgzz &
+ 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) * lgyy * gxz(i,j,k) &
- gxy(i,j,k) * gxy(i,j,k) * lgzz &
- lgxx * gyz(i,j,k) * gyz(i,j,k)
Axx = Axx - F1o3 * gxx * trA
Axy = Axy - F1o3 * gxy * trA
Axz = Axz - F1o3 * gxz * trA
Ayy = Ayy - F1o3 * gyy * trA
Ayz = Ayz - F1o3 * gyz * trA
Azz = Azz - F1o3 * gzz * trA
lgupxx = ( lgyy * lgzz - gyz(i,j,k) * gyz(i,j,k) ) / ldetg
lgupxy = - ( gxy(i,j,k) * lgzz - gyz(i,j,k) * gxz(i,j,k) ) / ldetg
lgupxz = ( gxy(i,j,k) * gyz(i,j,k) - lgyy * gxz(i,j,k) ) / ldetg
lgupyy = ( lgxx * lgzz - gxz(i,j,k) * gxz(i,j,k) ) / ldetg
lgupyz = - ( lgxx * gyz(i,j,k) - gxy(i,j,k) * gxz(i,j,k) ) / ldetg
lgupzz = ( lgxx * lgyy - gxy(i,j,k) * gxy(i,j,k) ) / ldetg
detg = ONE / ( detg ** F1o3 )
ltrA = lgupxx * Axx(i,j,k) + lgupyy * Ayy(i,j,k) &
+ lgupzz * Azz(i,j,k) &
+ TWO * (lgupxy * Axy(i,j,k) + lgupxz * Axz(i,j,k) &
+ lgupyz * Ayz(i,j,k))
gxx = gxx * detg
gxy = gxy * detg
gxz = gxz * detg
gyy = gyy * detg
gyz = gyz * detg
gzz = gzz * detg
Axx(i,j,k) = Axx(i,j,k) - F1o3 * lgxx * ltrA
Axy(i,j,k) = Axy(i,j,k) - F1o3 * gxy(i,j,k) * ltrA
Axz(i,j,k) = Axz(i,j,k) - F1o3 * gxz(i,j,k) * ltrA
Ayy(i,j,k) = Ayy(i,j,k) - F1o3 * lgyy * ltrA
Ayz(i,j,k) = Ayz(i,j,k) - F1o3 * gyz(i,j,k) * ltrA
Azz(i,j,k) = Azz(i,j,k) - F1o3 * lgzz * ltrA
dxx = gxx - ONE
dyy = gyy - ONE
dzz = gzz - ONE
lscale = ONE / ( ldetg ** F1o3 )
dxx(i,j,k) = lgxx * lscale - ONE
gxy(i,j,k) = gxy(i,j,k) * lscale
gxz(i,j,k) = gxz(i,j,k) * lscale
dyy(i,j,k) = lgyy * lscale - ONE
gyz(i,j,k) = gyz(i,j,k) * lscale
dzz(i,j,k) = lgzz * lscale - ONE
enddo
enddo
enddo
return
@@ -83,50 +95,70 @@
!~~~~~~~> Local variable:
real*8, dimension(ex(1),ex(2),ex(3)) :: trA
real*8, dimension(ex(1),ex(2),ex(3)) :: gxx,gyy,gzz
real*8, dimension(ex(1),ex(2),ex(3)) :: gupxx,gupxy,gupxz,gupyy,gupyz,gupzz
integer :: i,j,k
real*8 :: lgxx,lgyy,lgzz,lscale
real*8 :: lgxy,lgxz,lgyz
real*8 :: lgupxx,lgupxy,lgupxz,lgupyy,lgupyz,lgupzz
real*8 :: ltrA
real*8, parameter :: F1o3 = 1.D0 / 3.D0, ONE = 1.D0, TWO = 2.D0
!~~~~~~>
gxx = dxx + ONE
gyy = dyy + ONE
gzz = dzz + ONE
! for g
gupzz = gxx * gyy * gzz + gxy * gyz * gxz + gxz * gxy * gyz - &
gxz * gyy * gxz - gxy * gxy * gzz - gxx * gyz * gyz
do k=1,ex(3)
do j=1,ex(2)
do i=1,ex(1)
gupzz = ONE / ( gupzz ** F1o3 )
! for g: normalize determinant first
lgxx = dxx(i,j,k) + ONE
lgyy = dyy(i,j,k) + ONE
lgzz = dzz(i,j,k) + ONE
lgxy = gxy(i,j,k)
lgxz = gxz(i,j,k)
lgyz = gyz(i,j,k)
gxx = gxx * gupzz
gxy = gxy * gupzz
gxz = gxz * gupzz
gyy = gyy * gupzz
gyz = gyz * gupzz
gzz = gzz * gupzz
lscale = lgxx * lgyy * lgzz + lgxy * lgyz * lgxz &
+ lgxz * lgxy * lgyz - lgxz * lgyy * lgxz &
- lgxy * lgxy * lgzz - lgxx * lgyz * lgyz
dxx = gxx - ONE
dyy = gyy - ONE
dzz = gzz - ONE
! for A
lscale = ONE / ( lscale ** F1o3 )
gupxx = ( gyy * gzz - gyz * gyz )
gupxy = - ( gxy * gzz - gyz * gxz )
gupxz = ( gxy * gyz - gyy * gxz )
gupyy = ( gxx * gzz - gxz * gxz )
gupyz = - ( gxx * gyz - gxy * gxz )
gupzz = ( gxx * gyy - gxy * gxy )
lgxx = lgxx * lscale
lgxy = lgxy * lscale
lgxz = lgxz * lscale
lgyy = lgyy * lscale
lgyz = lgyz * lscale
lgzz = lgzz * lscale
trA = gupxx * Axx + gupyy * Ayy + gupzz * Azz &
+ TWO * (gupxy * Axy + gupxz * Axz + gupyz * Ayz)
dxx(i,j,k) = lgxx - ONE
gxy(i,j,k) = lgxy
gxz(i,j,k) = lgxz
dyy(i,j,k) = lgyy - ONE
gyz(i,j,k) = lgyz
dzz(i,j,k) = lgzz - ONE
Axx = Axx - F1o3 * gxx * trA
Axy = Axy - F1o3 * gxy * trA
Axz = Axz - F1o3 * gxz * trA
Ayy = Ayy - F1o3 * gyy * trA
Ayz = Ayz - F1o3 * gyz * trA
Azz = Azz - F1o3 * gzz * trA
! for A: trace-free using normalized metric (det=1, no division needed)
lgupxx = ( lgyy * lgzz - lgyz * lgyz )
lgupxy = - ( lgxy * lgzz - lgyz * lgxz )
lgupxz = ( lgxy * lgyz - lgyy * lgxz )
lgupyy = ( lgxx * lgzz - lgxz * lgxz )
lgupyz = - ( lgxx * lgyz - lgxy * lgxz )
lgupzz = ( lgxx * lgyy - lgxy * lgxy )
ltrA = lgupxx * Axx(i,j,k) + lgupyy * Ayy(i,j,k) &
+ lgupzz * Azz(i,j,k) &
+ TWO * (lgupxy * Axy(i,j,k) + lgupxz * Axz(i,j,k) &
+ lgupyz * Ayz(i,j,k))
Axx(i,j,k) = Axx(i,j,k) - F1o3 * lgxx * ltrA
Axy(i,j,k) = Axy(i,j,k) - F1o3 * lgxy * ltrA
Axz(i,j,k) = Axz(i,j,k) - F1o3 * lgxz * ltrA
Ayy(i,j,k) = Ayy(i,j,k) - F1o3 * lgyy * ltrA
Ayz(i,j,k) = Ayz(i,j,k) - F1o3 * lgyz * ltrA
Azz(i,j,k) = Azz(i,j,k) - F1o3 * lgzz * ltrA
enddo
enddo
enddo
return

View File

@@ -0,0 +1,255 @@
#include "tool.h"
/*
* 你需要提供 symmetry_bd 的 C 版本(或 Fortran 绑到 C 的接口)。
* Fortran: call symmetry_bd(3,ex,f,fh,SoA)
*
* 约定:
* nghost = 3
* ex[3] = {ex1,ex2,ex3}
* f = 原始网格 (ex1*ex2*ex3)
* fh = 扩展网格 ((ex1+3)*(ex2+3)*(ex3+3)),对应 Fortran 的 (-2:ex1, ...)
* SoA[3] = 输入参数
*/
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])
{
const double ZEO = 0.0, ONE = 1.0, F3 = 3.0;
const double TWO = 2.0, F6 = 6.0, F18 = 18.0;
const double F12 = 12.0, F10 = 10.0, EIT = 8.0;
const int NO_SYMM = 0, EQ_SYMM = 1, OCTANT = 2;
(void)OCTANT; // 这里和 Fortran 一样只是定义了不用也没关系
const int ex1 = ex[0], ex2 = ex[1], ex3 = ex[2];
// 对应 Fortran: dX = X(2)-X(1) Fortran 1-based
// C: X[1]-X[0]
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;
// Fortran 里算了 d2dx/d2dy/d2dz 但本 subroutine 里没用到(保持一致也算出来)
const double d2dx = ONE / TWO / dX;
const double d2dy = ONE / TWO / dY;
const double d2dz = ONE / TWO / dZ;
(void)d2dx; (void)d2dy; (void)d2dz;
// Fortran:
// imax = ex(1); jmax = ex(2); kmax = ex(3)
const int imaxF = ex1;
const int jmaxF = ex2;
const int kmaxF = ex3;
// Fortran:
// imin=jmin=kmin=1; 若满足对称条件则设为 -2
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;
// 分配 fh大小 (ex1+3)*(ex2+3)*(ex3+3)
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; // 内存不足:直接返回(你也可以改成 abort/报错)
// Fortran: call symmetry_bd(3,ex,f,fh,SoA)
symmetry_bd(3, ex, f, fh, SoA);
/*
* Fortran 主循环:
* do k=1,ex(3)-1
* do j=1,ex(2)-1
* do i=1,ex(1)-1
*
* 转成 C 0-based
* k0 = 0..ex3-2, j0 = 0..ex2-2, i0 = 0..ex1-2
*
* 并且 Fortran 里的 i/j/k 在 fh 访问时,仍然是 Fortran 索引值:
* iF=i0+1, jF=j0+1, kF=k0+1
*/
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);
// ---------------- x direction ----------------
const double sfx = Sfx[p];
if (sfx > ZEO) {
// Fortran: if(i+3 <= imax)
// iF+3 <= ex1 <=> i0+4 <= ex1 <=> i0 <= ex1-4
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)]);
}
// elseif(i+2 <= imax) <=> i0 <= ex1-3
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)]);
}
// elseif(i+1 <= imax) <=> i0 <= ex1-2循环里总成立
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) {
// Fortran: if(i-3 >= imin)
// (iF-3) >= iminF <=> (i0-2) >= iminF
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)]);
}
// elseif(i-2 >= imin) <=> (i0-1) >= iminF
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)]);
}
// elseif(i-1 >= imin) <=> i0 >= iminF
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)]);
}
}
// ---------------- y direction ----------------
const double sfy = Sfy[p];
if (sfy > ZEO) {
// jF+3 <= ex2 <=> j0+4 <= ex2 <=> j0 <= ex2-4
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)]);
}
}
// ---------------- z direction ----------------
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)]);
}
}
}
}
}
free(fh);
}

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);
}

View File

@@ -487,6 +487,201 @@ subroutine lopsided(ex,X,Y,Z,f,f_rhs,Sfx,Sfy,Sfz,Symmetry,SoA)
end subroutine lopsided
!-----------------------------------------------------------------------------
! Combined advection (lopsided) + Kreiss-Oliger dissipation (kodis)
! Shares the symmetry_bd buffer fh, eliminating one full-grid copy per call.
! Mathematically identical to calling lopsided then kodis separately.
!-----------------------------------------------------------------------------
subroutine lopsided_kodis(ex,X,Y,Z,f,f_rhs,Sfx,Sfy,Sfz,Symmetry,SoA,eps)
implicit none
!~~~~~~> Input parameters:
integer, intent(in) :: ex(1:3),Symmetry
real*8, intent(in) :: X(1:ex(1)),Y(1:ex(2)),Z(1:ex(3))
real*8,dimension(ex(1),ex(2),ex(3)),intent(in) :: f,Sfx,Sfy,Sfz
real*8,dimension(ex(1),ex(2),ex(3)),intent(inout):: f_rhs
real*8,dimension(3),intent(in) ::SoA
real*8,intent(in) :: eps
!~~~~~~> local variables:
! note index -2,-1,0, so we have 3 extra points
real*8,dimension(-2:ex(1),-2:ex(2),-2:ex(3)) :: fh
integer :: imin,jmin,kmin,imax,jmax,kmax,i,j,k
real*8 :: dX,dY,dZ
real*8 :: d12dx,d12dy,d12dz,d2dx,d2dy,d2dz
real*8, parameter :: ZEO=0.d0,ONE=1.d0, F3=3.d0
real*8, parameter :: TWO=2.d0,F6=6.0d0,F18=1.8d1
real*8, parameter :: F12=1.2d1, F10=1.d1,EIT=8.d0
integer, parameter :: NO_SYMM = 0, EQ_SYMM = 1, OCTANT = 2
! kodis parameters
real*8, parameter :: SIX=6.d0,FIT=1.5d1,TWT=2.d1
real*8, parameter :: cof=6.4d1 ! 2^6
dX = X(2)-X(1)
dY = Y(2)-Y(1)
dZ = Z(2)-Z(1)
d12dx = ONE/F12/dX
d12dy = ONE/F12/dY
d12dz = ONE/F12/dZ
d2dx = ONE/TWO/dX
d2dy = ONE/TWO/dY
d2dz = ONE/TWO/dZ
imax = ex(1)
jmax = ex(2)
kmax = ex(3)
imin = 1
jmin = 1
kmin = 1
if(Symmetry > NO_SYMM .and. dabs(Z(1)) < dZ) kmin = -2
if(Symmetry > EQ_SYMM .and. dabs(X(1)) < dX) imin = -2
if(Symmetry > EQ_SYMM .and. dabs(Y(1)) < dY) jmin = -2
! Single symmetry_bd call shared by both advection and dissipation
call symmetry_bd(3,ex,f,fh,SoA)
! ---- Advection (lopsided) loop ----
! upper bound set ex-1 only for efficiency,
! the loop body will set ex 0 also
do k=1,ex(3)-1
do j=1,ex(2)-1
do i=1,ex(1)-1
! x direction
if(Sfx(i,j,k) > ZEO)then
if(i+3 <= imax)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfx(i,j,k)*d12dx*(-F3*fh(i-1,j,k)-F10*fh(i,j,k)+F18*fh(i+1,j,k) &
-F6*fh(i+2,j,k)+ fh(i+3,j,k))
elseif(i+2 <= imax)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfx(i,j,k)*d12dx*(fh(i-2,j,k)-EIT*fh(i-1,j,k)+EIT*fh(i+1,j,k)-fh(i+2,j,k))
elseif(i+1 <= imax)then
f_rhs(i,j,k)=f_rhs(i,j,k)- &
Sfx(i,j,k)*d12dx*(-F3*fh(i+1,j,k)-F10*fh(i,j,k)+F18*fh(i-1,j,k) &
-F6*fh(i-2,j,k)+ fh(i-3,j,k))
endif
elseif(Sfx(i,j,k) < ZEO)then
if(i-3 >= imin)then
f_rhs(i,j,k)=f_rhs(i,j,k)- &
Sfx(i,j,k)*d12dx*(-F3*fh(i+1,j,k)-F10*fh(i,j,k)+F18*fh(i-1,j,k) &
-F6*fh(i-2,j,k)+ fh(i-3,j,k))
elseif(i-2 >= imin)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfx(i,j,k)*d12dx*(fh(i-2,j,k)-EIT*fh(i-1,j,k)+EIT*fh(i+1,j,k)-fh(i+2,j,k))
elseif(i-1 >= imin)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfx(i,j,k)*d12dx*(-F3*fh(i-1,j,k)-F10*fh(i,j,k)+F18*fh(i+1,j,k) &
-F6*fh(i+2,j,k)+ fh(i+3,j,k))
endif
endif
! y direction
if(Sfy(i,j,k) > ZEO)then
if(j+3 <= jmax)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfy(i,j,k)*d12dy*(-F3*fh(i,j-1,k)-F10*fh(i,j,k)+F18*fh(i,j+1,k) &
-F6*fh(i,j+2,k)+ fh(i,j+3,k))
elseif(j+2 <= jmax)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfy(i,j,k)*d12dy*(fh(i,j-2,k)-EIT*fh(i,j-1,k)+EIT*fh(i,j+1,k)-fh(i,j+2,k))
elseif(j+1 <= jmax)then
f_rhs(i,j,k)=f_rhs(i,j,k)- &
Sfy(i,j,k)*d12dy*(-F3*fh(i,j+1,k)-F10*fh(i,j,k)+F18*fh(i,j-1,k) &
-F6*fh(i,j-2,k)+ fh(i,j-3,k))
endif
elseif(Sfy(i,j,k) < ZEO)then
if(j-3 >= jmin)then
f_rhs(i,j,k)=f_rhs(i,j,k)- &
Sfy(i,j,k)*d12dy*(-F3*fh(i,j+1,k)-F10*fh(i,j,k)+F18*fh(i,j-1,k) &
-F6*fh(i,j-2,k)+ fh(i,j-3,k))
elseif(j-2 >= jmin)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfy(i,j,k)*d12dy*(fh(i,j-2,k)-EIT*fh(i,j-1,k)+EIT*fh(i,j+1,k)-fh(i,j+2,k))
elseif(j-1 >= jmin)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfy(i,j,k)*d12dy*(-F3*fh(i,j-1,k)-F10*fh(i,j,k)+F18*fh(i,j+1,k) &
-F6*fh(i,j+2,k)+ fh(i,j+3,k))
endif
endif
! z direction
if(Sfz(i,j,k) > ZEO)then
if(k+3 <= kmax)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfz(i,j,k)*d12dz*(-F3*fh(i,j,k-1)-F10*fh(i,j,k)+F18*fh(i,j,k+1) &
-F6*fh(i,j,k+2)+ fh(i,j,k+3))
elseif(k+2 <= kmax)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfz(i,j,k)*d12dz*(fh(i,j,k-2)-EIT*fh(i,j,k-1)+EIT*fh(i,j,k+1)-fh(i,j,k+2))
elseif(k+1 <= kmax)then
f_rhs(i,j,k)=f_rhs(i,j,k)- &
Sfz(i,j,k)*d12dz*(-F3*fh(i,j,k+1)-F10*fh(i,j,k)+F18*fh(i,j,k-1) &
-F6*fh(i,j,k-2)+ fh(i,j,k-3))
endif
elseif(Sfz(i,j,k) < ZEO)then
if(k-3 >= kmin)then
f_rhs(i,j,k)=f_rhs(i,j,k)- &
Sfz(i,j,k)*d12dz*(-F3*fh(i,j,k+1)-F10*fh(i,j,k)+F18*fh(i,j,k-1) &
-F6*fh(i,j,k-2)+ fh(i,j,k-3))
elseif(k-2 >= kmin)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfz(i,j,k)*d12dz*(fh(i,j,k-2)-EIT*fh(i,j,k-1)+EIT*fh(i,j,k+1)-fh(i,j,k+2))
elseif(k-1 >= kmin)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfz(i,j,k)*d12dz*(-F3*fh(i,j,k-1)-F10*fh(i,j,k)+F18*fh(i,j,k+1) &
-F6*fh(i,j,k+2)+ fh(i,j,k+3))
endif
endif
enddo
enddo
enddo
! ---- Dissipation (kodis) loop ----
if(eps > ZEO) then
do k=1,ex(3)
do j=1,ex(2)
do i=1,ex(1)
if(i-3 >= imin .and. i+3 <= imax .and. &
j-3 >= jmin .and. j+3 <= jmax .and. &
k-3 >= kmin .and. k+3 <= kmax) then
f_rhs(i,j,k) = f_rhs(i,j,k) + eps/cof *( ( &
(fh(i-3,j,k)+fh(i+3,j,k)) - &
SIX*(fh(i-2,j,k)+fh(i+2,j,k)) + &
FIT*(fh(i-1,j,k)+fh(i+1,j,k)) - &
TWT* fh(i,j,k) )/dX + &
( &
(fh(i,j-3,k)+fh(i,j+3,k)) - &
SIX*(fh(i,j-2,k)+fh(i,j+2,k)) + &
FIT*(fh(i,j-1,k)+fh(i,j+1,k)) - &
TWT* fh(i,j,k) )/dY + &
( &
(fh(i,j,k-3)+fh(i,j,k+3)) - &
SIX*(fh(i,j,k-2)+fh(i,j,k+2)) + &
FIT*(fh(i,j,k-1)+fh(i,j,k+1)) - &
TWT* fh(i,j,k) )/dZ )
endif
enddo
enddo
enddo
endif
return
end subroutine lopsided_kodis
#elif (ghost_width == 4)
! sixth order code
! Compute advection terms in right hand sides of field equations

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
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
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...
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
do k = kmino, kmaxo
pz = piz(k)
kc = ciz(k)
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
do j = jmino, jmaxo
py = piy(j)
jc = ciy(j)
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
! --- 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
enddo
enddo
enddo
return
end subroutine prolong3
@@ -2358,6 +2370,13 @@
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
! 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

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