Commit Graph

27 Commits

Author SHA1 Message Date
f638cbc4e8 Add mixed GPU RP path for EScalar 2026-05-02 18:27:26 +08:00
59a216ad93 Optimize BSSN EScalar GPU path baseline 2026-05-02 18:19:15 +08:00
52beb4d153 Checkpoint Z4C CUDA resident sync progress 2026-05-02 10:53:52 +08:00
ba61702fc0 Checkpoint Z4C CUDA throttling progress 2026-05-02 10:04:23 +08:00
fcd98649f6 Checkpoint Z4C CUDA optimization progress 2026-05-02 08:55:25 +08:00
a5c8188305 Disable unsafe Z4C AMR device path by default 2026-05-02 01:36:41 +08:00
383e936e88 Save Z4C CUDA optimization progress 2026-05-02 00:49:02 +08:00
531b31e8db Stabilize cached Z4C CUDA sync after regrid 2026-05-01 20:04:04 +08:00
35b6ceff02 Broaden cached CUDA sync paths 2026-05-01 18:03:04 +08:00
a6483d013d Add CUDA AMR restrict diagnostics 2026-04-30 12:20:44 +08:00
18e9c9cc50 Optimize BSSN CUDA resident AMR prolong path 2026-04-30 10:58:15 +08:00
1ee229a91f Add keyed BSSN CUDA resident banks 2026-04-29 19:44:19 +08:00
68eab03bac Add opt-in BSSN CUDA resident AMR path 2026-04-29 19:15:37 +08:00
090d8657ae Optimize BSSN CUDA state transfers 2026-04-29 18:34:31 +08:00
22c1e7168b Optimize BSSN CUDA resident state and CUDA-aware MPI 2026-04-29 17:05:10 +08:00
c689cc8dc9 [WIP] Add CUDA support for Z4C
Rewritten done by Codex.
This still has errors, do not pick this one now.
2026-04-27 11:58:43 +08:00
b713e5a9be Batch constraint norm reductions
(cherry picked from commit 3a58273501)
2026-04-25 08:22:00 +08:00
e952ee8e91 Batch GA/BH subset sync with indexed GPU pack/unpack buffers 2026-04-13 20:40:09 +08:00
636e35bfd8 Add direct CUDA resident-state sync path and profiling hooks 2026-04-13 00:57:05 +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
42c69fab24 refactor(Parallel): streamline MPI communication by consolidating request handling and memory management 2026-03-02 17:37:13 +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
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
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
f2fc9af70e asc26 amss-ncku initialized 2026-01-13 15:01:15 +08:00