A Curious Cumulation of CUDA Cuisine
Author JuliaGPU
273 Stars
Updated Last
4 Months Ago
Started In
July 2017

CuArrays.jl: DEPRECATED, use CUDA.jl instead!

Documentation Build Status

CuArrays provides a fully-functional GPU array, which can give significant speedups over normal arrays without code changes. CuArrays are implemented fully in Julia, making the implementation elegant and extremely generic.

Quick start

The package can be installed with the Julia package manager. From the Julia REPL, type ] to enter the Pkg REPL mode and run:

pkg> add CuArrays

Or, equivalently, via the Pkg API:

julia> import Pkg; Pkg.add("CuArrays")

For usage instructions and other information, check-out the CUDA.jl documentation.

Project Status

The package is tested against, and being developed for, Julia 1.0 and above. Main development and testing happens on Linux, but the package is expected to work on macOS and Windows as well.

Questions and Contributions

Usage questions can be posted on the Julia Discourse forum under the GPU domain and/or in the #gpu channel of the Julia Slack.

Contributions are very welcome, as are feature requests and suggestions. Please open an issue if you encounter any problems.