src/batched: Use SerialOpt2 for 33 to 39 square matrices #1261
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@e10harvey Thanks for doing this. Could you please add some performance numbers here for these cases? |
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Pull Request Author: e10harvey |
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@vqd8a : Sure, see updated description above. |
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vqd8a
approved these changes
Jan 13, 2022
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@e10harvey Thanks.
I just want to add that using SerialOpt2 for this range of 33 to 39 might be temporary. When Kokkos supports static shared memory allocation, the double buffering algorithm might be faster than SerialOpt2. I think we need to revisit the selection eventually.
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Should we wait for Kokkos to add it, of can we just allocate in Kokkos Kernels? |
We can allocate it for Cuda but not cleanly for all backends. |
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Status Flag 'Pull Request AutoTester' - Pull Request MUST BE MERGED MANUALLY BY Project Team - This Repo does not support Automerge |
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Status Flag 'Pull Request AutoTester' - Pull Request MUST BE MERGED MANUALLY BY Project Team - This Repo does not support Automerge |
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Based on the data collection done yesterday, this condition update gives produces the best performance.
Before this change
After this change