AcceleratedKernels.jl
Cross-architecture parallel algorithms for Julia's GPU backends, from a unified KernelAbstractions.jl codebase. Targets Intel oneAPI, AMD ROCm, Apple Metal, Nvidia CUDA.
MIT License
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77
Ecosystems:
Cuda,
The Julia Language
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AcceleratedKernels v0.1.0
Merged pull requests:
- Remove unnecessary Const (#3) (@pxl-th)
- Remove redundant Const and inbounds macros (#4) (@pxl-th)
Closed issues:
- Use
GPUArraysCore? (#1) - Invalid IR for
sortperm!on AMDGPU (#2)
AcceleratedKernels.jl
- 0.1.0
Published by anicusan about 1 month ago
First release of AcceleratedKernels.jl, for archiving purposes supporting the "AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase" paper.
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