JuliaGraphs / JuliaGraphs/GraphNeuralNetworks.jl
status of sparse arrays support on gpu
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- Dominant language
- Julia
- Stars
- 308
- Forks
- 74
- Avg merge
- 3d 6h
- Merged PRs (30d)
- 2
Description
Once https://github.com/JuliaGPU/CUDA.jl/pull/1380 is merged, we should be able to have first-class support for the graph_type=:sparse. Therefore PR #66 should be revamped with latest cuda updates.
We should also keep an eye on https://github.com/JuliaGPU/CUDA.jl/pull/1285
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing PR #66 and the referenced CUDA.jl PRs #1380 and #1285 to understand the current sparse-array and graph_type=:sparse work. Compare the implementation with the latest CUDA updates; done means first-class GPU support for graph_type=:sparse is restored or updated.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100