GPU integrations for Dagger.jl
Author JuliaGPU
10 Stars
Updated Last
2 Years Ago
Started In
April 2020


GPU integrations for Dagger.jl

DaggerGPU.jl makes use of the Dagger.Processor infrastructure to dispatch Dagger kernels to NVIDIA and AMD GPUs, via CUDA.jl and AMDGPU.jl respectively. Usage is simple: add or dev DaggerGPU.jl and CUDA.jl/AMDGPU.jl appropriately, load it with using DaggerGPU, and add DaggerGPU.CuArrayDeviceProc/DaggerGPU.ROCArrayProc to your scheduler or thunk options (see Dagger.jl documentation for details on how to do this).

DaggerGPU.jl is still experimental, but we welcome GPU-owning users to try it out and report back on any issues or sharp edges that they encounter. When filing an issue about DaggerGPU.jl, please provide:

  • The complete error message and backtrace
  • Julia version
  • GPU vendor and model
  • CUDA/AMDGPU version(s)

Used By Packages

No packages found.