cusparse: FFI bindings to the CUDA Sparse BLAS library

This is a package candidate release! Here you can preview how this package release will appear once published to the main package index (which can be accomplished via the 'maintain' link below). Please note that once a package has been published to the main package index it cannot be undone! Please consult the package uploading documentation for more information.

[maintain] [Publish]

Warnings:

'ghc-options: -O2' is rarely needed. Check that it is giving a real benefit and not just imposing longer compile times on your users.
Packages relying on Cabal 1.12 or later should specify a specific version of the Cabal spec of the form 'cabal-version: x.y'. Use 'cabal-version: 1.24'.

The cuSPARSE library contains a set of basic linear algebra subroutines for handling sparse matrices on NVIDIA GPUs. Sparse vectors and matrices are those where the majority of elements are zero. Sparse BLAS routines are specifically implemented to take advantage of this sparsity. This package provides FFI bindings to the functions of the cuSPARSE library. You will need to install the CUDA driver and developer toolkit:

http://developer.nvidia.com/cuda-downloads

See the travis-ci.org build matrix for tested CUDA library versions.

[Skip to Readme]

Properties

Versions	0.1.0.0, 0.1.0.1, 0.2.0.0, 0.3.0.0, 0.3.0.0
Change log	CHANGELOG.md
Dependencies	base (>=4 && <5), cuda (>=0.8), half (>=0.1), storable-complex (>=0.2) [details]
License	BSD-3-Clause
Copyright	Copyright (c) [2017..2018]. Trevor L. McDonell <trevor.mcdonell@gmail.com>
Author	Trevor L. McDonell
Maintainer	Trevor L. McDonell <trevor.mcdonell@gmail.com>
Category	Foreign
Source repo	head: git clone https://github.com/tmcdonell/cusparse this: git clone https://github.com/tmcdonell/cusparse(tag v0.3.0.0)
Uploaded	by TrevorMcDonell at 2020-08-26T10:10:59Z

Modules

Foreign
- CUDA
  - BLAS
    - Foreign.CUDA.BLAS.Sparse
      - Foreign.CUDA.BLAS.Sparse.Analysis
      - Foreign.CUDA.BLAS.Sparse.Context
      - Foreign.CUDA.BLAS.Sparse.Convert
      - Foreign.CUDA.BLAS.Sparse.Error
      - Foreign.CUDA.BLAS.Sparse.Level1
      - Foreign.CUDA.BLAS.Sparse.Level2
      - Foreign.CUDA.BLAS.Sparse.Level3
      - Matrix
        Foreign.CUDA.BLAS.Sparse.Matrix.Descriptor
        Foreign.CUDA.BLAS.Sparse.Matrix.Hybrid
      - Foreign.CUDA.BLAS.Sparse.Precondition
      - Foreign.CUDA.BLAS.Sparse.Reorder
      - Foreign.CUDA.BLAS.Sparse.Stream

Downloads

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

Maintainer's Corner

Package maintainers

TrevorMcDonell

For package maintainers and hackage trustees

edit package information

Readme for cusparse-0.3.0.0

[back to package description]

Haskell FFI Bindings to cuSPARSE

The cuSPARSE library contains a set of basic linear algebra subroutines for handling sparse matrices. Sparse vectors and matrices are those where the majority of elements are zero. Sparse BLAS routines are specifically implemented to take advantage of this sparsity. This package provides FFI bindings to the functions of the cuSPARSE library. You will need to install the CUDA driver and developer toolkit:

http://developer.nvidia.com/cuda-downloads

http://docs.nvidia.com/cuda/cusparse/index.html