This is the Linux app named GPUArrays whose latest release can be downloaded as v11.2.3sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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GPUArrays
DESCRIPTION
Reusable 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
Programming Language
Julia
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/gpuarrays.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
