cusparse
FFI bindings to the CUDA Sparse BLAS library
| Version on this page: | 0.1.0.0 |
| LTS Haskell 19.7: | 0.3.0.0 |
| Stackage Nightly 2022-03-17: | 0.3.0.0 |
| Latest on Hackage: | 0.3.0.0 |
Maintained by Trevor L. McDonell
This version can be pinned in stack with:
cusparse-0.1.0.0@sha256:d79e7b54e6b653986f5ad8cd59e428bbf742373376430671da5d90176dff76c6,2808Module documentation for 0.1.0.0
- Foreign
- Foreign.CUDA
- 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
- Foreign.CUDA.BLAS.Sparse.Matrix
- Foreign.CUDA.BLAS.Sparse.Precondition
- Foreign.CUDA.BLAS.Sparse.Reorder
- Foreign.CUDA.BLAS.Sparse.Stream
- Foreign.CUDA.BLAS.Sparse
- Foreign.CUDA.BLAS
- Foreign.CUDA
Depends on 4 packages(full list with versions):
Used by 1 package in nightly-2017-10-05(full list with versions):
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