hyperfine
- Dominant language
- Haskell
- Stars
- 137
- Forks
- 10
- PR merge metrics
- No merged PRs in 30d
Description
> These results are best taken with a hefty grain of salt; it's really hard to
> tell what sort of caching is going on here. There are probably mutliple layers
> of disk caching happening. Maybe the multithreading only helps when reading
> files from a cache?
https://github.com/ChrisPenner/wc#using-our-cores
have you tested with hyperfine?
https://github.com/sharkdp/hyperfine
it can deal with warmups
Contributor guide
No contributing guide indexed for this repository
Research direction
Start with the benchmark results referenced in the issue and read hyperfine's warmup guidance. Run the relevant comparisons with warmups to reduce caching effects, then document the results and any limits of the comparison. The issue does not name a file or test to update.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- haskell
- Domain
- performance
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100