Implement an inner_product for a vector
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Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 40/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Active
- Tech stack
- cpp
- Domain
- performance
Research direction
Start by reading the vector APIs and reduction patterns in the repository, then check how its supported x86 vector instructions handle multiply-and-accumulate at higher precision. Define a std::inner_product-like operation that supports those instructions; done means the API and its behavior are specified and it can use the relevant hardware operations. The issue does not name files or tests, so locating the entry point will take repository exploration.
Written by the indexing model from the issue text.
Description
Provide a std::inner_product-like function, which is useful for signal processing. Note that many instructions exist in x86 to help implement this (e.g., madd, VNNI), which often allow the accumulation at higher-precision. Specifying the function in a way which allows them to be used is very important.
- Dominant language
- C++
- Stars
- 6
- Forks
- 2
- Avg merge
- 2d 47m
- Merged PRs (30d)
- 18
Getting set up
- No Dockerfile or Docker Compose file
- No pull request template
- Read the contributing guide
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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