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September 2019


CUDA programming in Julia

Documentation Build Status

The CUDA.jl package is the main programming interface for working with NVIDIA CUDA GPUs using Julia. It features a user-friendly array abstraction, a compiler for writing CUDA kernels in Julia, and wrappers for various CUDA libraries.

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 CUDA

Or, equivalently, via the Pkg API:

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

For usage instructions and other information, please refer to the documentation at juliagpu.gitlab.io.

Project Status

The package is tested against, and being developed for, Julia 1.4 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.