From 64b39f4e63e7fa61c76527ae395f88171c37486a Mon Sep 17 00:00:00 2001 From: Dilum Aluthge Date: Mon, 5 Jul 2021 17:30:26 -0400 Subject: [PATCH] Remove mentions of `USE_INTEL_MKL` from the build docs --- doc/build/build.md | 15 --------------- 1 file changed, 15 deletions(-) diff --git a/doc/build/build.md b/doc/build/build.md index 3d351bd83e71c..89b293a57df30 100644 --- a/doc/build/build.md +++ b/doc/build/build.md @@ -250,21 +250,6 @@ Julia uses a custom fork of libuv. It is a small dependency, and can be safely b As a high-performance numerical language, Julia should be linked to a multi-threaded BLAS and LAPACK, such as OpenBLAS or ATLAS, which will provide much better performance than the reference `libblas` implementations which may be default on some systems. -### Intel MKL - -**Note:** If you are building Julia for the sole purpose of incorporating Intel MKL, it may be beneficial to first try [MKL.jl](https://github.com/JuliaComputing/MKL.jl). This package will automatically download MKL and rebuild Julia's system image against it, sidestepping the need to set up a working build environment just to add MKL functionality. MKL.jl replaces OpenBLAS with MKL for dense linear algebra functions called directly from Julia, but SuiteSparse and other C/Fortran libraries will continue to use the BLAS they were linked against at build time. If you want SuiteSparse to use MKL, you will need to build from source. - -For a 64-bit architecture, the environment should be set up as follows: -```sh -# bash -source /path/to/intel/bin/compilervars.sh intel64 -``` -Add the following to the `Make.user` file: - - USE_INTEL_MKL = 1 - -It is highly recommended to start with a fresh clone of the Julia repository. - ## Source distributions of releases Each pre-release and release of Julia has a "full" source distribution and a "light" source