AOCL is a set of numerical libraries optimized for AMD processors based on the AMD “Zen” core architecture and generations. Supported processor families are AMD EPYC™, AMD Ryzen™, and AMD Ryzen™ Threadripper™ processors. The tuned implementations of industry-standard math libraries enable rapid development of scientific and high-performance computing applications.

AOCL.jl is a Julia package that allows users to use the AMD AOCL libraries for Julia's underlying BLAS and LAPACK, instead of OpenBLAS (default).

This is made possible by libblastrampoline, which enables picking a BLAS and LAPACK library at runtime.

Adding the package will replace the system BLAS and LAPACK with AOCL provided ones at runtime. Note that the AOCL package has to be loaded in every new Julia process. Upon quitting and restarting, Julia will start with the default OpenBLAS.

The recommended installation uses the package from Julia's General registry:

julia> using Pkg
julia> Pkg.add("AOCL")

If installing the AMD-hosted version use its repository URL explicitly:

julia> using Pkg;
julia> Pkg.add(url="https://github.com/amd/AOCL.jl");

AOCL_jll is available from Julia's General registry and will be installed automatically as a dependency.

Note: The package is only available on Linux at the moment.

julia> using LinearAlgebra

julia> BLAS.get_config()
LinearAlgebra.BLAS.LBTConfig
Libraries:
└ [ILP64] libopenblas64_.so

julia> using AOCL

julia> BLAS.get_config()
LinearAlgebra.BLAS.LBTConfig
Libraries:
├ [ILP64] libaocl64.so
└ [ LP64] libaocl.so

Please contact toolchainsupport@amd.com for questions, feature requests, or issues.