accelerate-blas: Numeric Linear Algebra in Accelerate

[ bsd3, library, math ] [ Propose Tags ]

Linear systems, matrix decompositions, and other numerical computations for use in Accelerate. Most operations are implemented efficiently via FFI calls to BLAS and LAPACK

For further information refer to the main Accelerate package: http://hackage.haskell.org/package/accelerate


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Versions 0.1.0.0, 0.1.0.1, 0.2.0.0
Change log CHANGELOG.md
Dependencies accelerate (>=1.0 && <1.3), accelerate-llvm (>=1.1 && <1.3), accelerate-llvm-native (>=1.1 && <1.3), accelerate-llvm-ptx (>=1.1 && <1.3), base (>=4.7 && <4.12), blas-hs (>=0.1), bytestring (>=0.9), containers (>=0.5), cublas (>=0.3), cuda (>=0.8), file-embed (>=0.0.10), llvm-hs-pure (>=4.1 && <6.1), mtl (>=2.2) [details]
License BSD-3-Clause
Author Trevor L. McDonell
Maintainer tmcdonell@cse.unsw.edu.au
Category Math
Source repo head: git clone https://github.com/tmcdonell/accelerate-blas
this: git clone https://github.com/tmcdonell/accelerate-blas(tag 0.2.0.0)
Uploaded by TrevorMcDonell at Wed Apr 4 00:27:38 UTC 2018
Distributions NixOS:0.2.0.0
Downloads 1037 total (10 in the last 30 days)
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Status Docs pending
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Modules

  • Data
    • Array
      • Accelerate
        • Numeric
          • Data.Array.Accelerate.Numeric.LinearAlgebra
            • BLAS
              • Data.Array.Accelerate.Numeric.LinearAlgebra.BLAS.Level1
              • Data.Array.Accelerate.Numeric.LinearAlgebra.BLAS.Level2
              • Data.Array.Accelerate.Numeric.LinearAlgebra.BLAS.Level3
          • Data.Array.Accelerate.Numeric.Sum

Flags

NameDescriptionDefaultType
llvm-cpu

Enable the LLVM backend for multicore CPUs

EnabledAutomatic
llvm-ptx

Enable the LLVM PTX backend for NVIDIA GPUs

EnabledAutomatic

Use -f <flag> to enable a flag, or -f -<flag> to disable that flag. More info

Downloads

Maintainer's Corner

For package maintainers and hackage trustees


Readme for accelerate-blas-0.2.0.0

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Numeric linear algebra in Accelerate

Build Status

Linear systems, matrix decompositions, and other numerical computations for use in Accelerate. Most operations are implemented efficiently via FFI calls to BLAS and LAPACK. For details on Accelerate, refer to the main repository.

Please get in touch to let me know which missing operations you would like see added to the library. Contributions are also welcome!

FFI bindings

  • accelerate-llvm-native: FFI bindings are provided by the blas-hs package, which has several options for which underlying BLAS library to link against; see that package for setup details.

  • accelerate-llvm-ptx: FFI bindings to the NVIDIA cuBLAS library.