Hacker GitHub

← All repos

JuliaGPU/AMDGPU.jl

View on GitHub ↗ ★ 348 Julia

AMD GPU (ROCm) programming in Julia

8 mentions on Hacker News by 5 people: 0 stories, 8 comments · first 2020-09-21 · latest 2022-07-06

Mentions per year 8 mentions · busiest year 2021 (4)
20082026
AllStoriesComments NewestTopOldest
  1. …up and running on Frontier so that we can push scientific computing to the max! Library link: < https://github.com/JuliaGPU/AMDGPU.jl >
    comment by jpsamaroo · 2022-07-06 · in First true exascale supercomputer?
  2. …API that works across different GPU vendors to avoid lockin [1] https://cuda.juliagpu.org/dev/ [2] https://github.com/JuliaGPU/AMDGPU.jl [3] https://github.com/JuliaGPU/oneAPI.jl [4] https://github.com/JuliaGPU/KernelAbstractions.jl
    comment by eigenspace · 2021-06-20 · in Is Julia Really Fast?
  3. …[1] https://rocmdocs.amd.com/en/latest/index.html [2] https://github.com/RadeonOpenCompute/ROCm [3] https://github.com/JuliaGPU/AMDGPU.jl
    comment by xvilka · 2021-06-14 · in Cuda.jl v3.3: union types, debug info, graph APIs
  4. https://github.com/JuliaGPU/AMDGPU.jl https://github.com/JuliaGPU/oneAPI.jl These are both less mature than CUDA.jl, but are in active development. > Edit: the site has one project per GPU type, shame there isn't one interface that works…
    comment by eigenspace · 2021-06-14 · in Cuda.jl v3.3: union types, debug info, graph APIs
  5. …w.r.t what the device can reasonably attain). [1] https://github.com/JuliaGPU/oneAPI.jl [2] https://github.com/JuliaGPU/AMDGPU.jl
    comment by jpsamaroo · 2021-03-01 · in OneAPI – A cross-industry, open, standards-based unified programming model
  6. …very well and will be plug-able with all this stuff. https://github.com/JuliaGPU/GPUCompiler.jl https://github.com/JuliaGPU/AMDGPU.jl
    comment by eigenspace · 2020-10-20 · in Julia GPU
  7. …vidia.com/blog/gpu-computing-julia-progra... [4]: http://blog.maleadt.net/2015/01/15/julia-cuda/ [5]: https://github.com/JuliaGPU/AMDGPU.jl
    comment by Datenstrom · 2020-10-11 · in Object Detection from 9 FPS to 650 FPS
  8. And Julia can do custom ROCM codegen, either by itself or through array and kernel abstractions :) https://github.com/JuliaGPU/AMDGPU.jl https://juliagpu.gitlab.io/KernelAbstractions.jl/ https://github.com/JuliaGPU/GPUArrays.jl/pulse
    comment by amkkma · 2020-09-21 · in Swift for TensorFlow – A system for deep learning and differentiable computing