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pytorch / FBGEMM

FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/
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Use HBM as an L1 cache in the SSD training benchmark #3004

Closed sryap closed 3 weeks ago

sryap commented 4 weeks ago

Summary: X-link: https://github.com/facebookresearch/FBGEMM/pull/97

Use HBM as an L1 cache in the SSD training benchmark since this is likely going to be used in practice

Reviewed By: q10

Differential Revision: D61364250

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facebook-github-bot commented 4 weeks ago

This pull request was exported from Phabricator. Differential Revision: D61364250

facebook-github-bot commented 3 weeks ago

This pull request was exported from Phabricator. Differential Revision: D61364250

facebook-github-bot commented 3 weeks ago

This pull request was exported from Phabricator. Differential Revision: D61364250

facebook-github-bot commented 3 weeks ago

This pull request has been merged in pytorch/FBGEMM@e7b2e7a6224b9c822b0c3cea86b280ff1f3c54c3.