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https://github.com/juliagpu/amdgpu.jl
AMD GPU (ROCm) programming in Julia
https://github.com/juliagpu/amdgpu.jl
amdgpu julia rocm
Last synced: 5 days ago
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AMD GPU (ROCm) programming in Julia
- Host: GitHub
- URL: https://github.com/juliagpu/amdgpu.jl
- Owner: JuliaGPU
- License: other
- Created: 2020-07-02T16:16:24.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2024-12-18T20:26:46.000Z (15 days ago)
- Last Synced: 2024-12-21T13:03:42.009Z (13 days ago)
- Topics: amdgpu, julia, rocm
- Language: Julia
- Size: 7.91 MB
- Stars: 283
- Watchers: 18
- Forks: 48
- Open Issues: 75
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
Awesome Lists containing this project
README
# AMDGPU.jl
*AMD GPU (ROCm) programming in Julia*
[![][doi-img]][doi-url] [![][docs-stable-img]][docs-stable-url] [![][docs-dev-img]][docs-dev-url] [![][buildkite-img]][buildkite-url] [![][codecov-img]][codecov-url]
[doi-img]: https://zenodo.org/badge/DOI/10.5281/zenodo.10040461.svg
[doi-url]: https://doi.org/10.5281/zenodo.10040461
[buildkite-img]: https://badge.buildkite.com/b1b3b0e3d13add4aa5a64c866937fde364ad777813725ef887.svg?branch=master
[buildkite-url]: https://buildkite.com/julialang/amdgpu-dot-jl
[codecov-img]: https://codecov.io/gh/JuliaGPU/AMDGPU.jl/branch/master/graph/badge.svg
[codecov-url]: https://codecov.io/gh/JuliaGPU/AMDGPU.jl
[docs-stable-img]: https://img.shields.io/badge/docs-stable-blue.svg
[docs-stable-url]: https://amdgpu.juliagpu.org/stable
[docs-dev-img]: https://img.shields.io/badge/docs-dev-blue.svg
[docs-dev-url]: https://amdgpu.juliagpu.org/dev
## Requirements
- Julia 1.10+.
- ROCm 5.3+, which means only GPUs that are supported by these versions will work.
- 64-bit Linux and Windows are supported, see [requirements](https://amdgpu.juliagpu.org/dev/#Installation) section in the docs.
For Julia 1.11 set `JULIA_LLVM_ARGS="-opaque-pointers"` to enable opaque pointers and use system-wide device libraries, instead of patched from artifacts.
## Quick start
AMDGPU.jl can be installed with the Julia package manager.
From the Julia REPL, type `]` to enter the Pkg REPL mode and run:
```julia
pkg> add AMDGPU
```
Or, equivalently, via the `Pkg` API:
```julia
julia> import Pkg; Pkg.add("AMDGPU")
```
## Testing
To ensure that everything is working you can run tests for the package with
```julia
pkg> test AMDGPU
```
Or specifying a subset of tests to run:
```julia
julia> using Pkg
julia> Pkg.test("AMDGPU"; test_args=["core", "kernelabstractions"])
```
Full list of tests to run can be obtained with `--list` argument:
```julia
julia> Pkg.test("AMDGPU"; test_args=["--list"])
```
## Questions and Contributions
Usage questions can be posted on the [Julia Discourse
forum](https://discourse.julialang.org/c/domain/gpu) under the GPU domain and/or in the #gpu
channel of the [Julia Slack](https://julialang.org/community/).
Contributions are very welcome, as are feature requests and suggestions. Please open an
[issue](https://github.com/JuliaGPU/AMDGPU.jl/issues) if you encounter any problems.
## Acknowledgment
AMDGPU would not have been possible without the work by Tim Besard and
contributors to [CUDA.jl](https://github.com/JuliaGPU/CUDA.jl) and
[LLVM.jl](https://github.com/maleadt/LLVM.jl).
## License
AMDGPU.jl is licensed under the [MIT License](LICENSE.md).