accelerate-blas: Numeric Linear Algebra in Accelerate

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Warnings:

'ghc-options: -main-is' is not portable.
'ghc-options: -O2' is rarely needed. Check that it is giving a real benefit and not just imposing longer compile times on your users.

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, 0.2.0.0, 0.2.0.1, 0.3.0.0, 0.3.0.0
Change log	CHANGELOG.md
Dependencies	accelerate (>=1.3), accelerate-llvm (>=1.3), accelerate-llvm-native (>=1.3), accelerate-llvm-ptx (>=1.3), base (>=4.7), 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), mtl (>=2.2) [details]
License	BSD-3-Clause
Author	Trevor L. McDonell
Maintainer	Trevor L. McDonell <trevor.mcdonell@gmail.com>
Category	Accelerate, Math
Source repo	head: git clone https://github.com/tmcdonell/accelerate-blas this: git clone https://github.com/tmcdonell/accelerate-blas(tag v0.3.0.0)
Uploaded	by TrevorMcDonell at 2020-08-28T10:06:42Z

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

Automatic Flags

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

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

Downloads

accelerate-blas-0.3.0.0.tar.gz [browse] (Cabal source package)
Package description (as included in the package)

Maintainer's Corner

Package maintainers

TrevorMcDonell

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Readme for accelerate-blas-0.3.0.0

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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.

The following build flags control whether optimised implementations are used. Note that enabling these (which is the default) will require the corresponding Accelerate backend as a dependency:

llvm-ptx: For NVIDIA GPUs
llvm-cpu: For multicore CPUs

Contributions and bug reports are welcome! Please get in touch to let us know which missing operations you would like to see added to the library. Please feel free to contact me through GitHub or gitter.im.