Intel MKL linear algebra backend for Julia
105 Stars
Updated Last
1 Month Ago
Started In
November 2018


Intel MKL linear algebra in Julia.

MKL.jl is a package that makes Julia's linear algebra use Intel MKL BLAS and LAPACK instead of OpenBLAS. The build step of the package will automatically download Intel MKL and rebuild Julia's system image against Intel MKL for Julia versions prior to v1.7. On Julia v1.7 and later, we ship Julia with libblastrampoline, which can enable picking a BLAS at runtime.

To Install:

julia>] add MKL

On Julia 1.7 and later, nothing further is necessary. On older releases of Julia, a new system image build happens right after installation. If it doesn't (happens when MKL_jll.jl has been installed before), run the following command to build a new system image and restart Julia.

julia>] build MKL

To Check Installation:

julia> using LinearAlgebra

julia> BLAS.vendor()  # Prior to Julia v1.7

julia> BLAS.get_config()  # Julia v1.7 and later
LinearAlgebra.BLAS.LBTConfig(LinearAlgebra.BLAS.LBTLibraryInfo[LinearAlgebra.BLAS.LBTLibraryInfo("/Users/viral/.julia/artifacts/073ff95e2c63501547247d6e1321bf4ee2a78933/lib/libmkl_rt.1.dylib", Ptr{Nothing} @0x00007fb6a5ef4820, "", UInt8[0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x01], :ilp64, :plain)], [:f2c_capable], ["LAPACKE_c_nancheck", "LAPACKE_cbbcsd", "LAPACKE_cbbcsd_work", "LAPACKE_cbdsqr", "LAPACKE_cbdsqr_work", "LAPACKE_cgb_nancheck", "LAPACKE_cgb_trans", "LAPACKE_cgbbrd", "LAPACKE_cgbbrd_work", "LAPACKE_cgbcon""zunmlq_", "zunmql_", "zunmqr_", "zunmr2_", "zunmr3_", "zunmrq_", "zunmrz_", "zunmtr_", "zupgtr_", "zupmtr_"])

Using the 64-bit vs 32-bit version of MKL

By default, when building MKL.jl the 32-bit version of MKL is installed. This is due to frequently encountered compatibility issues with the MKL version linked to numpy, that by default is shipped with the 32-bit version of MKL. To use the 64-bit version of MKL set the environment variable ENV["USE_BLAS64"] = true before building MKL.jl.

On Julia v1.7, we use ILP64 by default on 64-bit systems, and LP64 on 32-bit systems.

Used By Packages

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