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Artifacts.toml (4859, 2020-05-27)
CITATION.bib (456, 2020-05-27)
LICENSE.md (1290, 2020-05-27)
Manifest.toml (3579, 2020-05-27)
NEWS.md (3689, 2020-05-27)
Project.toml (905, 2020-05-27)
bors.toml (59, 2020-05-27)
codecov.yml (141, 2020-05-27)
docs/ (0, 2020-05-27)
docs/Manifest.toml (2409, 2020-05-27)
docs/Project.toml (59, 2020-05-27)
docs/make.jl (975, 2020-05-27)
docs/src/ (0, 2020-05-27)
docs/src/assets/ (0, 2020-05-27)
docs/src/assets/favicon.ico (15406, 2020-05-27)
docs/src/assets/logo.png (75886, 2020-05-27)
docs/src/device/ (0, 2020-05-27)
docs/src/device/array.md (341, 2020-05-27)
docs/src/device/cuda.md (2888, 2020-05-27)
docs/src/device/wmma.md (7381, 2020-05-27)
docs/src/host/ (0, 2020-05-27)
docs/src/host/execution.md (252, 2020-05-27)
docs/src/host/initialization.md (168, 2020-05-27)
docs/src/host/reflection.md (995, 2020-05-27)
docs/src/index.md (499, 2020-05-27)
examples/ (0, 2020-05-27)
examples/hello_world.jl (415, 2020-05-27)
examples/pairwise.jl (4219, 2020-05-27)
examples/peakflops.jl (1388, 2020-05-27)
examples/vadd.jl (477, 2020-05-27)
examples/wmma/ (0, 2020-05-27)
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# ~CUDAnative.jl~: DEPRECATED, use [CUDA.jl](https://github.com/JuliaGPU/CUDA.jl) instead! *Support for compiling and executing native Julia kernels on CUDA hardware.* | **Documentation** | **Build Status** | |:-----------------------------------------------------------------------:|:-------------------------------------------------------------:| | [![][docs-usage-img]][docs-usage-url] [![][docs-api-img]][docs-api-url] | [![][gitlab-img]][gitlab-url] [![][codecov-img]][codecov-url] | [gitlab-img]: https://gitlab.com/JuliaGPU/CUDAnative.jl/badges/master/pipeline.svg [gitlab-url]: https://gitlab.com/JuliaGPU/CUDAnative.jl/commits/master [codecov-img]: https://codecov.io/gh/JuliaGPU/CUDAnative.jl/branch/master/graph/badge.svg [codecov-url]: https://codecov.io/gh/JuliaGPU/CUDAnative.jl [docs-usage-img]: https://img.shields.io/badge/docs-usage-blue.svg [docs-usage-url]: https://juliagpu.gitlab.io/CUDA.jl/ [docs-api-img]: https://img.shields.io/badge/docs-api-blue.svg [docs-api-url]: https://juliagpu.gitlab.io/CUDAnative.jl/ ## 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 CUDAnative ``` Or, equivalently, via the `Pkg` API: ```julia julia> import Pkg; Pkg.add("CUDAnative") ``` For usage instructions and other information, check-out the [CUDA.jl documentation](https://juliagpu.gitlab.io/CUDA.jl/). ## 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](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/CUDAnative.jl/issues) if you encounter any problems.

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