JuliaGPU / JuliaGPU/AMDGPU.jl

rccl wrappers

Open
#651 1 comment 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Julia
Stars
344
Forks
79
Avg merge
2d 23h
Merged PRs (30d)
27

Description

Similar to https://github.com/JuliaGPU/NCCL.jl/, it would be great to have wrappers for RCCL for training DL models on multiple AMDGPUs.

(I know MPI.jl has ROCm support but we don't ship JLLs that are rocm aware, so it might be good to ship RCCL_jll that automatically allows rocm aware communication without copying to CPU)

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reviewing the linked JuliaGPU/NCCL.jl implementation and the existing MPI.jl ROCm support. Define the RCCL wrappers and RCCL_jll packaging needed for ROCm-aware communication; done should enable multi-AMD-GPU deep-learning training without copying data to the CPU.

Written by the indexing model from the issue text.

Assessment

Tech stack
julia
Domain
distributed-systems, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
30/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.