JuliaGPU/AcceleratedKernels.jl
View on GitHubCross-architecture parallel algorithms for Julia's CPU and GPU backends. Targets multithreaded CPUs, and GPUs via Intel oneAPI, AMD ROCm, Apple Metal, Nvidia CUDA.
- Stars
- 204
- Forks
- 15
- Open beginner issues
- 0
- Indexed issues
- 10
- Avg merge
- 10d 5h
- Merged PRs (30d)
- 6
- Dominant language
- Julia
- License
- MIT
- Last GitHub push
- Sep 16, 2026
- Latest indexed
- Sep 18, 2026
- Contributing guide
- No contributing guide
- Code of conduct
- No code of conduct
- Beginner labels
- No beginner labels indexed
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JuliaGPU/AcceleratedKernels.jl#12 · 2 comments · 1 reaction · 0 assignees ·
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Benchmarks Open
JuliaGPU/AcceleratedKernels.jl#43 · 2 comments · 0 reactions · 0 assignees ·
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JuliaGPU/AcceleratedKernels.jl#50 · 3 comments · 0 reactions · 0 assignees ·
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JuliaGPU/AcceleratedKernels.jl#60 · 0 comments · 0 reactions · 0 assignees ·
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JuliaGPU/AcceleratedKernels.jl#61 · 0 comments · 0 reactions · 0 assignees ·
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Statistics kernels? Open
JuliaGPU/AcceleratedKernels.jl#62 · 3 comments · 0 reactions · 0 assignees ·
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JuliaGPU/AcceleratedKernels.jl#67 · 0 comments · 0 reactions · 0 assignees ·
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JuliaGPU/AcceleratedKernels.jl#74 · 5 comments · 1 reaction · 0 assignees ·
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JuliaGPU/AcceleratedKernels.jl#89 · 0 comments · 0 reactions · 0 assignees ·
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JuliaGPU/AcceleratedKernels.jl#127 · 0 comments · 0 reactions · 0 assignees ·