cusolver: FFI bindings to CUDA Solver, a LAPACK-like library

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The cuSolver library provides useful LAPACK-like features implemented on NVIDIA GPUs, such as common matrix factorization and triangular solve routines for dense matrices, a sparse least-squares solver routine, and an eigenvalue solver. This package provides FFI bindings to the functions of the cuSolver 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 [RSS] 0.1.0.0, 0.1.0.1, 0.2.0.0, 0.3.0.0
Change log CHANGELOG.md
Dependencies base (>=4 && <5), cublas (>=0.3), cuda (>=0.8), cusparse (>=0.1), half (>=0.1), storable-complex (>=0.2), template-haskell [details]
License BSD-3-Clause
Copyright Copyright (c) [2017..2018]. Trevor L. McDonell <trevor.mcdonell@gmail.com>
Author Trevor L. McDonell <trevor.mcdonell@gmail.com>
Maintainer Trevor L. McDonell <trevor.mcdonell@gmail.com>
Category Foreign
Source repo head: git clone https://github.com/tmcdonell/cusolver
this: git clone https://github.com/tmcdonell/cusolver(tag v0.3.0.0)
Uploaded by TrevorMcDonell at 2020-08-26T10:30:58Z
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Reverse Dependencies 1 direct, 0 indirect [details]
Downloads 2193 total (9 in the last 30 days)
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Status Docs uploaded by user [build log]
All reported builds failed as of 2020-08-26 [all 2 reports]

Readme for cusolver-0.3.0.0

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Haskell FFI Bindings to cuSolver

Travis build status AppVeyor build status Stackage LTS Stackage Nightly Hackage

The cuSolver library provides useful LAPACK-like features implemented on NVIDIA GPUs, such as common matrix factorization and triangular solve routines for dense matrices, a sparse least-squares solver routine, and an eigenvalue solver. This package provides FFI bindings to the functions of the cuSolver library. You will need to install the CUDA driver and developer toolkit:

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

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