DownloadReusable GPU array functionality for Julia's various GPU backends. This package is the counterpart of Julia's AbstractArray interface, but for GPU array types: It provides functionality and tooling to speed-up development of new GPU array types. This package is not intended for end users! Instead, you should use one of the packages that builds on GPUArrays.jl, such as CUDA.jl, oneAPI.jl, AMDGPU.jl, or Metal.jl.
Features
- This package is the counterpart of Julia's AbstractArray interface
- It provides functionality and tooling to speed-up development of new GPU array types
- This package is not intended for end users!
- You should use one of the packages that builds on GPUArrays.jl
- CUDA.jl, oneAPI.jl, AMDGPU.jl, or Metal.jl
Project Samples
Categories
Data VisualizationLicense
MIT LicenseFollow GPUArrays
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