From 60bcdfe28f29300756e78e2ff5ff1decb99519b6 Mon Sep 17 00:00:00 2001 From: "Viral B. Shah" Date: Sat, 6 Jun 2026 15:36:31 +0000 Subject: [PATCH] README: add Reference BLAS and LAPACK to the supported list Pulled from #128. Co-authored-by: Alexis Montoison Co-Authored-By: Claude Opus 4.8 (1M context) --- README.md | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 40a3405..110e752 100644 --- a/README.md +++ b/README.md @@ -7,12 +7,13 @@ Using [PLT trampolines](https://en.wikipedia.org/wiki/Trampoline_(computing)) to These BLAS libraries are known to work with libblastrampoline (successfully tested in Julia): 1. [OpenBLAS](https://github.com/OpenMathLib/OpenBLAS) (supported by default in Julia) -2. [Intel oneMKL](https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html) (use in Julia through [MKL.jl](https://github.com/JuliaLinearAlgebra/MKL.jl)) -3. [Apple Accelerate](https://developer.apple.com/documentation/accelerate/blas) (use in Julia through [AppleAccelerate.jl](https://github.com/JuliaMath/AppleAccelerate.jl)) -4. [BLIS](https://github.com/flame/blis/) (use in Julia through [BLISBLAS.jl](https://github.com/carstenbauer/BLISBLAS.jl)) -5. Fujitsu BLAS (use in Julia through [FujitsuBLAS.jl](https://github.com/giordano/FujitsuBLAS.jl)) -6. [ARMPL BLAS](https://developer.arm.com/Tools%20and%20Software/Arm%20Performance%20Libraries) -7. [NVPL BLAS](https://docs.nvidia.com/nvpl/_static/blas/) +2. [Reference BLAS and LAPACK](https://github.com/Reference-LAPACK/lapack) (use in Julia through [ReferenceBLAS_jll](https://github.com/JuliaBinaryWrappers/ReferenceBLAS_jll.jl) and [LAPACK_jll](https://github.com/JuliaBinaryWrappers/LAPACK_jll.jl)) +3. [Intel oneMKL](https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html) (use in Julia through [MKL.jl](https://github.com/JuliaLinearAlgebra/MKL.jl)) +4. [Apple Accelerate](https://developer.apple.com/documentation/accelerate/blas) (use in Julia through [AppleAccelerate.jl](https://github.com/JuliaMath/AppleAccelerate.jl)) +5. [BLIS](https://github.com/flame/blis/) (use in Julia through [BLISBLAS.jl](https://github.com/carstenbauer/BLISBLAS.jl)) +6. Fujitsu BLAS (use in Julia through [FujitsuBLAS.jl](https://github.com/giordano/FujitsuBLAS.jl)) +7. [ARMPL BLAS](https://developer.arm.com/Tools%20and%20Software/Arm%20Performance%20Libraries) +8. [NVPL BLAS](https://docs.nvidia.com/nvpl/_static/blas/) ## Basic usage