Comments (3)
ntrost57
commented on June 27, 2024
The MPI examples are using a very simple and naive distribution of the matrix among the processes. This could lead to a very bad communication pattern and thus in a significant increase in runtime. I highly suggest to do the matrix partitioning by yourself, not relying on the example code.
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doctorcolinsmith
commented on June 27, 2024
Closing as there is nothing to fix in rocALUTION
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pledac
commented on June 27, 2024
Ok thanks for the info. We have in our code a balanced partition and for the moment the rocALUTION solver in our test case, the performance doesn't vary much (but is not degrading as cg_mpi) depending on the number of GPUs used on the node. Still investigating...
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Related Issues (20)
- RPATH is missing from ROCm 5.0.0 release HOT 1
- issues being closed without fixing why???
- How to use a BCSR matrix? HOT 6
- Please enable two factor authentication in your github account
- Error while building rocALUTION for rocm5.1.x HOT 14
- Global HOT 8
- ruge_stueben_amg.hpp does not compile with hipcc (clang-14) HOT 3
- ifdef SUPPORT_MULTINODE HOT 2
- CPU-GPU copies instead of GPU-GPU MPI communications in cg_mpi ? HOT 7
- rocALUTION for fortran HOT 12
- Problem with distribute_matrix in common.hpp HOT 2
- Directly update (set/add) LocalMatrix accelerator values HOT 6
- Files tagged with HIP_SOURCE_PROPERTY_FORMAT generate wrong HIP_CLANG_PATH HOT 6
- rocALUTION build following ROCm versions HOT 5
- readthedocs.io documentation missing HOT 3
- PairwiseAMG crash in parallel HOT 2
- Sample cg-rsamg_mpi crashes in parallel (RugeStuebenAMG) HOT 1
- HIP error: invalid device function HOT 1
- [Clarification Needed] Accessing linear systems data already stored on GPU(s) in rocThrust data structures HOT 4
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