Add kernels broken up over multiple loops
Nobody has claimed this yet.
- Dominant language
- Jupyter Notebook
- Stars
- 135
- Forks
- 55
- Avg merge
- 4d 16h
- Merged PRs (30d)
- 5
Description
Add version of some kernels that break the iteration space into multiple subdomains and run a loop over each.
The intention is to compare performance when using a single loop to cover all the data or using multiple loops to cover the data.
Kernels to look at first:
- Stream_TRIAD
- Algorithm_REDUCE_SUM
- Basic_INDEXLIST_3LOOP
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.
Research direction
Locate the implementations and benchmark entry points for Stream_TRIAD, Algorithm_REDUCE_SUM, and Basic_INDEXLIST_3LOOP. First compare how each currently covers its iteration space, then add versions that run across multiple subdomains. Done means the alternate kernels can be benchmarked against the single-loop versions for performance comparison.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- performance
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100