~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.