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All Projects → JuliaGPU → DaggerGPU.jl

JuliaGPU / DaggerGPU.jl

Licence: other
GPU integrations for Dagger.jl

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julia
2034 projects

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gpudaggerheterogeneous-computing

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DaggerGPU

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)
Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].