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/CUDAnative.jl

Julia support for native CUDA programming
julia julia-library cuda cuda-toolkit
Julia
  1. Julia 100.0%
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@maleadt
maleadt Merge pull request #474 from JuliaGPU/tb/exception_flag 
Use a module exception flag instead of trapping the GPU.
Latest commit 53966d8 Oct 16, 2019
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docs Add Manifests. Oct 3, 2019
examples Use a CuArray=CuTestArray alias. Sep 25, 2019
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.gitattributes [skip ci] Ignore CITATION.bib and test/perf for language count Sep 9, 2019
.gitignore Add Manifests. Oct 3, 2019
.gitlab-ci.yml Update CI template. Oct 3, 2019
CITATION.bib [skip ci] Add CITATION.bib May 11, 2019
LICENSE.md Update copyright and link to paper. Jan 2, 2018
Manifest.toml Bump CUDAdrv. Oct 16, 2019
NEWS.md Update NEWS. Jan 28, 2019
Project.toml Bump version Oct 4, 2019
README.md Add link to Discourse GPU domain Sep 11, 2019
bors.toml Use Bors. Nov 21, 2018
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README.md

CUDAnative.jl

Support for compiling and executing native Julia kernels on CUDA hardware.

Installation

CUDAnative is a registered package, and can be installed using the Julia package manager:

Pkg.add("CUDAnative")

NOTE: the current version of this package requires Julia 1.0. Only older versions of this package, v0.6.x or older, work with Julia 0.6, and require a source-build of Julia.

License

CUDAnative.jl is licensed under the MIT license.

If you use this package in your research, please cite the paper Besard, Foket, De Sutter (2018). For your convenience, a BibTeX entry is provided in the CITATION.bib file.

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