how-to-optimize-gemm

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Period	Start (UTC)	End (exclusive, UTC)	Mentions	Submissions	Comments
2017	2017-01-01 00:00:00 UTC	2018-01-01 00:00:00 UTC	1	0	1
2018	2018-01-01 00:00:00 UTC	2019-01-01 00:00:00 UTC	1	0	1
2019	2019-01-01 00:00:00 UTC	2020-01-01 00:00:00 UTC	0	0	0
2020	2020-01-01 00:00:00 UTC	2021-01-01 00:00:00 UTC	1	1	0
2021	2021-01-01 00:00:00 UTC	2022-01-01 00:00:00 UTC	0	0	0
2022	2022-01-01 00:00:00 UTC	2023-01-01 00:00:00 UTC	1	0	1

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gnufx·Mar 1, 2022

I'm unconvinced by the need for intrinsics in many cases (other than possibly for prefetch). I took out those out of the final version of [1] and got code that actually ran faster on a contemporary processor, targeting the same old SIMD. 1. https://github.com/flame/how-to-optimize-gemm/tree/master/sr...

In BLAS-level CPU Performance in 100 Lines of C

gnodar·Jun 20, 2020Submission

How to Optimize Generel Matrix Multiply (2017)

2 points · Open discussion

gnufx·May 30, 2018

I could also have referenced the original(?) take on this: https://github.com/flame/how-to-optimize-gemm

In How to write efficient matrix multiplication

GFK_of_xmaspast·Jan 3, 2017

The mention of "around 10% or less" is based on a 2005 paper, and even in the past ten years there's been a lot of change in computer architecture (the machines used in the paper were mostly ultrasparcs, and they write "Note that for the (pentium 3 system), we could find no problem size for which Strassen’s is faster than ATLAS’s"). See also : https://www.quora.com/What-algorithm-does-BLAS-use-for-matri... https://github.com/flame/how-to-optimize-gemm/wiki#notice-on... http://www.cs.utexas.edu/~flame/pubs/GotoTOMS_revision.pdf

In Why recursive data structures?