We have hosted the application gpuarrays in order to run this application in our online workstations with Wine or directly.


Quick description about gpuarrays:

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:
Data Visualization

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