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See https://github.com/JuliaLang/julia/issues/18374#issuecomment.... Open-source Julia builds also need to support non-Intel processors and architectures, and operating systems where MKL isn't available.

If you have a specific operation where MKL is noticeably faster than OpenBLAS, report it. OpenBLAS can always be improved if they have specific workloads to target.

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Thanks for the comment, I understand why it is not option.By the way I do not understand why I received downvotes.

Probably because a hacker news comment isn't the best place for a feature request about using a proprietary library and comparing to a commercial distribution of a different language.

By the way, Julia partners with Intel as well, but on things like adding multithreading support to the language, and developing auto-parallelizing compilers (https://github.com/IntelLabs/ParallelAccelerator.jl). Improved support for building Julia with MKL and Intel's C and Fortran compilers is something that Intel would probably like to collaborate with us on as well, but not much has happened there officially yet (these are different groups within Intel).

Keep up the good work Julia team.

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