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Ifpack2: Fused block jacobi #13837
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Ifpack2: Fused block jacobi #13837
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More performant path for block Jacobi case inside BTDS (GPU only, BlockCrs only). Fuses residual and solve into one kernel and doesn't convert vectors to SIMD-packed format. Also inverts diag blocks fully in shared to speed up numeric. Signed-off-by: Brian Kelley <bmkelle@sandia.gov>
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Not always equal to vector_length/2, since vector_length can theoretically be 1 Signed-off-by: Brian Kelley <bmkelle@sandia.gov>
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@@ -1180,29 +1181,21 @@ namespace Ifpack2 { | |||
local_ordinal_type pack_nrows_sub = 0; | |||
if (jacobi) { | |||
IFPACK2_BLOCKHELPER_TIMER("compute part indices (Jacobi)", Jacobi); | |||
// Jacobi (all lines have length 1) means that A_n_lclrows == nparts, |
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The changes here are supposed to keep all the resulting views exactly the same as before. It's just simplifications based on the fact that ipnrows == 1
in the Jacobi case. It was also helpful for convincing myself that the lclrow
mapping is the identity in this case, since that fact simplifies the numeric and solve.
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@brian-kelley Have you received feedback from SPARC on this? |
@jhux2 No, haven't heard anything from Victor. We could review and merge this now, and see how it affects the nightly performance builds. |
I will have a look then, thanks for checking @jhux2 : ) |
More performant paths for block Jacobi case inside BTDS (GPU only, BlockCrs only).
Compared to #13805, this gives between 9% (bs = 7) and 33% (bs = 11) speedup on the overall solve and about 1.9x speedup in numeric setup for both block sizes. Note: this was measured on a single GPU run, so the speedup only applies to local computation. Multi-rank runs will speed up less due to time spent doing communication.
@trilinos/ifpack2
Related Issues
Follows #13805
Stakeholder Feedback
Will ask SPARC team to evaluate.
Testing
Tested in Ifpack2_BlockTriDiContainerUnitAndPerfTests, and ran this on OpenMP, Cuda and HIP. For Cuda tested double, float and complex_double.