Use more than one core
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
- python
- Domain
- performance
Research direction
No file, test, or entry point is named. Start by tracing how pyperformance launches benchmarks and selects CPU cores, then determine why execution is limited to one core. Done should include an agreed approach for multi-core use and evidence that benchmark runs use more than one core when requested.
Written by the indexing model from the issue text.
Description
On the current moment, pyperformance loads a single core
Is there any reason why this is so?
- Dominant language
- Python
- Stars
- 1k
- Forks
- 203
- Avg merge
- 1h 20m
- Merged PRs (30d)
- 2
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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