# Current OpenBLAS Versions (January 2022) do not support Intel gen 11 performantly?

**URL:** <https://discourse.julialang.org/t/current-openblas-versions-january-2022-do-not-support-intel-gen-11-performantly/75104>\
**Category:** Performance\
**Tags:** linearalgebra\
**Created:** [January 24, 2022, 6:06am UTC](https://discourse.julialang.org/t/current-openblas-versions-january-2022-do-not-support-intel-gen-11-performantly/75104 "2022-01-24T06:06:15Z")\
**Posts on this page:** 1\
**Showing post:** 31

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**Author:** ![fgerick](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/fgerick/32/13228_2.png) [@fgerick](https://discourse.julialang.org/u/fgerick)\
**Post date:** [January 27, 2022, 10:27am UTC](https://discourse.julialang.org/t/current-openblas-versions-january-2022-do-not-support-intel-gen-11-performantly/75104/31 "2022-01-27T10:27:00Z")

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I think I answered my question, which is related to the discussion here: [Thread affinitization: pinning Julia threads to cores](https://discourse.julialang.org/t/thread-affinitization-pinning-julia-threads-to-cores/58069)

If I use only 48 threads from one of the two cpus by ThreadPinning.jl, the time of Octavian.jl reduces to 1.5-1.6s.

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