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	1085 total (28 in the last 30 days)
Rating	(no votes yet) [estimated by rule of succession]
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Status	Docs pending Build status unknown [no reports yet]

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

Name	Description	Default	Type
llvm-cpu	Enable the LLVM backend for multicore CPUs	Enabled	Automatic
llvm-ptx	Enable the LLVM PTX backend for NVIDIA GPUs	Enabled	Automatic

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

Downloads

accelerate-blas-0.2.0.0.tar.gz [browse] (Cabal source package)
Package description (as included in the package)

Maintainer's Corner

For package maintainers and hackage trustees

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Readme for accelerate-blas-0.2.0.0

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Numeric linear algebra in Accelerate

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.