AMSS-NCKU

64-BitBrainstorm_2026/AMSS-NCKU

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Author	SHA1	Message	Date
jaunatisblue	8abac8dd88	对rank运行时间统计，两个函数分别在不同的计算中被调用，因此我对两个重载的函数分别进行了mpi实际计算时间的统计，对于第一个PatList_Interp_Points 调用 Interp_points，我取排名前三的rank时间，发现每次只有一个rank时间较长，Rank [ 52]: Calc 0.000012 s Rank [ 20]: Calc 0.000003 s Rank [ 35]: Calc 0.000003 s Rank [ 10]: Calc 0.000010 s Rank [ 17]: Calc 0.000005 s Rank [ 32]: Calc 0.000003 s，而且rank不固定，一般就是rank 10 和 rank 52；但尽管有很多，比前者时间还是少很多对于第二个Surf_Wave 调用 Interp_points，我发现前四个rank时间最长，比较固定，就是下面四个rank Rank [ 27]: Calc 0.331978 s Rank [ 35]: Calc 0.242219 s Rank [ 28]: Calc 0.242132 s Rank [ 36]: Calc 0.197024 s 因此下面surf_wave是核心	2026-02-24 14:34:24 +08:00
CGH0S7	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
CGH0S7	f2fc9af70e	asc26 amss-ncku initialized	2026-01-13 15:01:15 +08:00

Author

SHA1

Message

Date

jaunatisblue

8abac8dd88

对rank运行时间统计，两个函数分别在不同的计算中被调用，因此我对两个重载的函数分别进行了mpi实际计算时间的统计，对于第一个PatList_Interp_Points 调用 Interp_points，我取排名前三的rank时间，发现每次只有一个rank时间较长，Rank [ 52]: Calc 0.000012 s

Rank [  20]: Calc 0.000003 s

Rank [  35]: Calc 0.000003 s

Rank [  10]: Calc 0.000010 s

Rank [  17]: Calc 0.000005 s

Rank [  32]: Calc 0.000003 s，而且rank不固定，一般就是rank 10 和 rank 52；
但尽管有很多，比前者时间还是少很多
对于第二个Surf_Wave 调用 Interp_points，我发现前四个rank时间最长，比较固定，就是下面四个rank

Rank [  27]: Calc 0.331978 s

Rank [  35]: Calc 0.242219 s

Rank [  28]: Calc 0.242132 s

Rank [  36]: Calc 0.197024 s
因此下面surf_wave是核心

2026-02-24 14:34:24 +08:00

CGH0S7

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

CGH0S7

f2fc9af70e

asc26 amss-ncku initialized

2026-01-13 15:01:15 +08:00

3 Commits