[SYSTEMDS-3874] Java17 Vectorized LibMM#2216
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This commit adds vectorized kernels for matrix multiplication. fix mm error Perf mm bigger scale remove compile log
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The results show that the vector api improve performance, for single threaded execution our AMD box improve by ~80% and Intel ~60% for dense mm. These improvements, are with allocation overhead of the output, and in ideal cases where the input are cached properly, and the JIT compilation is done. --- The failing tests are related to some sparse kernels with wrong results, will be fixed shortly. Script to evaluate mm performance: After: Before: |
Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## main #2216 +/- ##
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Coverage 72.94% 72.95%
- Complexity 46061 46076 +15
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Files 1479 1479
Lines 172576 172613 +37
Branches 33776 33783 +7
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+ Hits 125893 125928 +35
- Misses 37186 37194 +8
+ Partials 9497 9491 -6 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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This PR contains code for vectorized MM It further include some vectorized instructions for CLA.