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Improve position of MKL.jl mention in build documentation #38923

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Dec 17, 2020
Merged

Improve position of MKL.jl mention in build documentation #38923

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Improve position of MKL.jl mention
carstenbauer Dec 17, 2020
ee0ad76
Clarify that SuiteSparse will not use MKL if going down the MKL.jl path
ViralBShah Dec 17, 2020
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4 changes: 2 additions & 2 deletions doc/build/build.md
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Expand Up @@ -252,6 +252,8 @@ As a high-performance numerical language, Julia should be linked to a multi-thre

### 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.
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For a 64-bit architecture, the environment should be set up as follows:
```sh
# bash
Expand All @@ -263,8 +265,6 @@ Add the following to the `Make.user` file:

It is highly recommended to start with a fresh clone of the Julia repository.

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.

## Source distributions of releases

Each pre-release and release of Julia has a "full" source distribution and a "light" source
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