JuliaGPU / AcceleratedKernels.jl

Cross-architecture parallel algorithms for Julia's CPU and GPU backends. Targets multithreaded CPUs, and GPUs via Intel oneAPI, AMD ROCm, Apple Metal, Nvidia CUDA.

Date Created 2024-06-10 (5 months ago)

Commits 50 (last one 7 days ago)

Stargazers 85 (0 this week)

Watchers 3 (0 this week)

Forks 1

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Ranking

RepositoryStats indexes 584,353 repositories, of these JuliaGPU/AcceleratedKernels.jl is ranked #323,967 (45th percentile) for total stargazers, and #422,423 for total watchers. Github reports the primary language for this repository as Julia, for repositories using this language it is ranked #878/1,731.

JuliaGPU/AcceleratedKernels.jl is also tagged with popular topics, for these it's ranked: gpu (#647/900), julia (#543/883), cuda (#430/635), apple (#406/592), nvidia (#220/305), metal (#137/180)

Other Information

JuliaGPU/AcceleratedKernels.jl has Github issues enabled, there are 2 open issues and 4 closed issues.

There have been 3 releases, the latest one was published on 2024-11-08 (12 days ago) with the name v0.2.0.

Homepage URL: https://juliagpu.github.io/AcceleratedKernels.jl/

All Topics

amd gpu cuda rocm apple intel julia metal nvidia oneapi parallel standard-library

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50 commits on the default branch (main) since jan '22

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The primary language is Julia but there's also others...

updated: 2024-11-18 @ 02:59pm, id: 813231823 / R_kgDOMHjuzw