Generate perf stats
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- performance
Research direction
Review pyperf's existing simple timing support and the related issue #107 first. Determine which perf statistics can be exposed across differing hardware and setups, and define how the results should be represented and validated. Done means the selected perf statistics are accessible alongside timings with documented behavior for unsupported counters.
Written by the indexing model from the issue text.
Description
As well as simple timings, it would be useful to have access to the stats generated by perf.
Exactly what stats are available will depend very much on the hardware and setup, but perf can generate a lot useful information, e.g.:
- Instructions retired
- Cache misses (both I and D caches)
- Stalls.
This sort of information would be very useful when trying to improve performance.
See also, https://github.com/psf/pyperf/issues/107
- Dominant language
- Python
- Stars
- 967
- Forks
- 112
- Avg merge
- 5d 8h
- Merged PRs (30d)
- 9
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
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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