The accelerate-blas package

[ Tags: 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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Properties

Versions	0.1.0.0, 0.1.0.1
Change log	CHANGELOG.md
Dependencies	accelerate (>=1.0 && <1.2), accelerate-llvm (>=1.0 && <1.2), accelerate-llvm-native (>=1.0 && <1.2), accelerate-llvm-ptx (>=1.0 && <1.2), base (>=4.7 && <4.11), blas-hs (>=0.1), bytestring (>=0.9), containers (>=0.5), cublas (>=0.3), cuda (>=0.8), file-embed (>=0.0.10), llvm-hs-pure (>=4.0), mtl (>=2.2), storable-complex (>=0.2) [details]
License	BSD3
Author	Trevor L. McDonell
Maintainer	tmcdonell@cse.unsw.edu.au
Category	Math
Source repository	head: git clone https://github.com/tmcdonell/accelerate-blas this: git clone https://github.com/tmcdonell/accelerate-blas(tag 0.1.0.1)
Uploaded	Mon Sep 25 12:34:45 UTC 2017 by TrevorMcDonell
Distributions	Stackage:0.1.0.1
Downloads	70 total (49 in the last 30 days)
Rating	0.0 (0 ratings) [clear rating] λ λ λ
Status	Docs uploaded by user Build status unknown [no reports yet] Hackage Matrix CI

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

[Index]

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-0.1.0.1.tar.gz [browse] (Cabal source package)
Package description (included in the package)

Maintainer's Corner

For package maintainers and hackage trustees

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Readme for accelerate-blas-0.1.0.1

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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.

Complex numbers

Due to Accelerate's struct-of-array representation of complex numbers, compared to the C-style array-of-struct representation, calling foreign implementations of complex-valued operations entails an extra data marshalling step.