Fork-Union for parallelization?
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- rust
- Domain
- performance
Research direction
Start by reading the linked ForkUnion project and comparing its performance claims with ndarray's current parallelization approach using Rayon. The investigation is complete when it produces an evidence-based recommendation about whether integration is worthwhile, including enough detail to define a concrete follow-up change.
Written by the indexing model from the issue text.
Description
I came across this project which seems quite interesting. The author claims substantial speed-ups compared to using Rayon for parallelization. Does this seem like something worth investigating?
- Dominant language
- Rust
- Stars
- 4.3k
- Forks
- 391
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
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.
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