The cusparse package

[ Tags: bsd3, foreign, library ] [ Propose Tags ]

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.


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Versions 0.1.0.0
Change log CHANGELOG.md
Dependencies base (==4.*), cuda (>=0.8), half (>=0.1), storable-complex (>=0.2) [details]
License BSD3
Copyright Copyright (c) [2017]. Trevor L. McDonell <tmcdonell@cse.unsw.edu.au>
Author Trevor L. McDonell
Maintainer Trevor L. McDonell <tmcdonell@cse.unsw.edu.au>
Category Foreign
Source repo head: git clone https://github.com/tmcdonell/cusparse
this: git clone https://github.com/tmcdonell/cusparse(tag 0.1.0.0)
Uploaded Thu Aug 24 23:12:00 UTC 2017 by TrevorMcDonell
Distributions LTSHaskell:0.1.0.0, NixOS:0.1.0.0, Stackage:0.1.0.0
Downloads 195 total (16 in the last 30 days)
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Readme for cusparse-0.1.0.0

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Haskell FFI Bindings to cuSPARSE

Build status Hackage

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