# Alternate BLAS libraries?

**URL:** <https://discourse.julialang.org/t/alternate-blas-libraries/26317>\
**Category:** General Usage\
**Tags:** blas\
**Created:** [July 13, 2019, 9:23am UTC](https://discourse.julialang.org/t/alternate-blas-libraries/26317 "2019-07-13T09:23:33Z")\
**Posts on this page:** 3\
**Page:** 2

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**Author:** ![RoyiAvital](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/royiavital/32/571_2.png) [@RoyiAvital](https://discourse.julialang.org/u/RoyiAvital)\
**Post date:** [September 13, 2019, 7:57am UTC](https://discourse.julialang.org/t/alternate-blas-libraries/26317/21 "2019-09-13T07:57:30Z")

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If you could use advanced features of MKL (Like JIT and Direct Call) in Julia you’d get probably the best performance (See [Squeeze More Performance from Intel MKL](https://github.com/JuliaComputing/MKL.jl/issues/7)).

An interesting alternative would be [BLASFEO](https://github.com/giaf/blasfeo).

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**Author:** ![Per](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/per/32/10387_2.png) [@Per](https://discourse.julialang.org/u/Per)\
**Post date:** [September 13, 2019, 8:16am UTC](https://discourse.julialang.org/t/alternate-blas-libraries/26317/22 "2019-09-13T08:16:20Z")

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I happen to work in the same lab as the main developers of BLASFEO.

An interesting thing about BLASFEO is that it works with a different matrix layout internally, so by exposing that directly in Julia one could get another slight performance increase.

It would also be really interesting to try and write a threaded version of BLASFEO in Julia 1.3…

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**Author:** ![Juan](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/juan/32/7657_2.png) [@Juan](https://discourse.julialang.org/u/Juan)\
**Post date:** [July 4, 2020, 11:23am UTC](https://discourse.julialang.org/t/alternate-blas-libraries/26317/23 "2020-07-04T11:23:20Z")

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[https://github.com/JuliaEmbedded/BLASFEO.jl](https://github.com/JuliaEmbedded/BLASFEO.jl)

but last changes are from 8 month ago.

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