Comments (3)
airmler
commented on July 29, 2024
i am not a cosma developer but I can give an advice:
simply set
export COSMA_CPU_MAX_MEMORY=XXX
to a value around 2-3 times the value you need to store the matrices. This should be enough to find a reasonable setting for COSMA and you should outperform ScaLAPACK (at least for the largeK case).
ScaLAPACK should roughly need twice the memory as it uses the SUMMA algorithm.
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fstein93
commented on July 29, 2024
It does not help with the default settings. I could get it running by simply setting COSMA_ADAPT_STRATEGY=OFF. But I wonder why the default does not capture it properly.
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Related Issues (20)
- COSMA cublas crash after job finished HOT 5
- Fixing CI/CD issues HOT 1
- timings in comsa_miniapp HOT 2
- GPU-Aware MPI Version HOT 2
- Error crash at the end of the job execution HOT 7
- Unable to use an internal RCCL build HOT 4
- COSMA crash on Perlmutter when dealing with complex values HOT 9
- Crashes with the latest COSMA release HOT 25
- cmake project version v2.6.1 does not match git tag v2.6.2
- Add ability to disable NCCL at runtime HOT 1
- build failure with nccl HOT 1
- enable overlap comm with computation for cosma_miniapp HOT 2
- Configure fails to find costa submodule and build fails to build with costa-2.2 HOT 1
- Link errors HOT 6
- cmake project version v2.6.4 does not match git tag v2.6.5
- COSMA build fails on CRAY HOT 1
- COSTA installed separately HOT 1
- out-of-memory events HOT 5
- Switching to a proper memory-pool implementation HOT 1
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