JuliaGPU / JuliaGPU/AMDGPU.jl

Implement dynamic kernel launch

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

Description

LLVM and the ROCm device libs expose the necessary functions to access the owning queue for a kernel and place packets on it. We should implement the equivalent of CUDAnative's dynamic_cufunction to make use of this.

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First steps

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  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 reading the existing CUDAnative dynamic_cufunction implementation and the LLVM and ROCm device-library interfaces mentioned in the issue. Trace how a kernel accesses its owning queue and how packets are placed on it. Done means AMDGPU.jl provides the equivalent dynamic kernel launch behavior, with coverage for the relevant launch path.

Written by the indexing model from the issue text.

Assessment

Tech stack
julia
Domain
backend
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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