[SYSTEMDS-3168] Matrix Multiplication Transposed Kernels#2425
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Elmanjhg wants to merge 1 commit intoapache:mainfrom
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[SYSTEMDS-3168] Matrix Multiplication Transposed Kernels#2425Elmanjhg wants to merge 1 commit intoapache:mainfrom
Elmanjhg wants to merge 1 commit intoapache:mainfrom
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Optimize dense matrix mult for transposed inputs This introduces specialized kernels for dense matrix multiplication involving transposed inputs (t(A)%*%B, A%*%t(B), t(A)%*%t(B)). Previously, these operations required an explicit intermediate transpose step, which caused unnecessary runtime. The new kernels perform the operations in-place or using tiled-transposition, avoiding the full allocation cost. Performance benchmarks on 100x100 dense matrices show significant speedups especially for t(A)%*%B and t(A)%*%t(B) and can be tested with higher dimensions.
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Hi! I’d like to work on this issue. I’ve reviewed the current code and have a plan to implement the fix/feature. Thank you! |
Contributor
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Thanks for the great contribution @Elmanjhg. During the merge, I only fixed the wildcard import. |
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Optimize dense matrix mult for transposed inputs
This introduces specialized kernels for dense matrix multiplication involving transposed inputs (t(A)%%B, A%%t(B), t(A)%*%t(B)). Previously, these operations required an explicit intermediate transpose step, which caused unnecessary runtime.
The new kernels perform the operations in-place or using tiled-transposition, avoiding the full allocation cost.
Performance benchmarks on 100x100 dense matrices show significant speedups especially for t(A)%%B and t(A)%%t(B) and can be tested with higher dimensions.