Fix performance bugs in scalar reductions (#509)#543
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marcinz merged 1 commit intonv-legate:branch-22.07from Aug 17, 2022
Merged
Fix performance bugs in scalar reductions (#509)#543marcinz merged 1 commit intonv-legate:branch-22.07from
marcinz merged 1 commit intonv-legate:branch-22.07from
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* Unify the template for device reduction tree and do some cleanup * Fix performance bugs in scalar reduction kernels: * Use unsigned 64-bit integers instead of signed integers wherever possible; CUDA hasn't added an atomic intrinsic for the latter yet. * Move reduction buffers from zero-copy memory to framebuffer. This makes the slow atomic update code path in reduction operators run much more efficiently. * Use thew new scalar reduction buffer in binary reductions as well * Use only the RHS type in the reduction buffer as we never call apply * Minor clean up per review * Rename the buffer class and method to make the intent explicit * Flip the polarity of reduce's template parameter
magnatelee
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Aug 17, 2022
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* Update reshape() implementation to avoid unnecessary deepcopy * Optimize reshape function and update tests * Refactor reshaping logic and add type hints to test
manopapad
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Unify the template for device reduction tree and do some cleanup
Fix performance bugs in scalar reduction kernels:
Use unsigned 64-bit integers instead of signed integers wherever
possible; CUDA hasn't added an atomic intrinsic for the latter yet.
Move reduction buffers from zero-copy memory to framebuffer. This
makes the slow atomic update code path in reduction operators
run much more efficiently.
Use thew new scalar reduction buffer in binary reductions as well
Use only the RHS type in the reduction buffer as we never call apply
Minor clean up per review
Rename the buffer class and method to make the intent explicit
Flip the polarity of reduce's template parameter