With the growing popularity of AMD CPUs over the recent years, I wonder whether there has been any news on an easy-to-use package that allows the use of AOCL-BLAS and AOCL-LAPACK ? I am looking for something like MKL.jl that allows switching to AOCL from the built-in OpenBLAS simply by loading the pa…

Both AOCL_jll and AOCL.jl are now up on GitHub! links: amd/AOCL_jll.jl amd/AOCL.jl

This has been asked at various times, so seems there is interest e.g. AOCL-BLAS · Issue #17 · JuliaLinearAlgebra/BLISBLAS.jl · GitHub That package’s readme explains the process and a similar package is definitely doable.

Thank you. It sounds like things are supposed to proceed easily once there is a recipe on Yggdrasil for building AOCL_jll? It seems that BLISBLAS.jl itself doesn’t contain much code and AOCL.jl would just be another package of similar fashion.

Thank you for sharing the news! Things are moving forward. Ideally, it would be nice if they can be registered with Julia General registry, so that people can install by just doing add AOCL.

I tried this expecting it to fail, since I do not have AMD, but it seemingly works on Intel too. julia> [1 2.] * [1; 2.] 1-element Vector{Float64}: 5.0 julia> BLAS.get_config() LinearAlgebra.BLAS.LBTConfig Libraries: ├ [ILP64] libblis-mt.so ├ [ILP64] libflame.so ├ [ LP64] libblis-mt32.so └ [ LP6…

Absence of easy-to-use AMD AOCL-BLAS/LAPACK support for Julia?

General Usage Performance

agodbole August 10, 2026, 10:52am 8

AOCL.jl is now registered under JuliaLinearAlgebra at AOCL.jl

refer: AOCL.jl v5.3.1

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Absence of easy-to-use AMD AOCL-BLAS/LAPACK support for Julia?

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