Support packed FP16 operations
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 344
- Forks
- 79
- Avg merge
- 2d 23h
- Merged PRs (30d)
- 27
Description
Currently, the intrinsics we expose for Float16 inputs accept scalar inputs, however, there exists many math intrinsics that take Tuple{Float16,Float16}, with the intention to be able to use packed math instructions most effectively. While we certainly can expose these intrinsics directly to the user, we should also consider if there is some optimization available (either through LLVM, or manually implemented here) to fuse non-packed F16 operations into packed 2F16 operations.
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
No file, test, or entry point is named. Start by locating the Float16 intrinsic definitions and the handling of Tuple{Float16,Float16}, then inspect the relevant LLVM optimization path; the scope is resolved when the project has a defined way to support or evaluate fusion into packed 2F16 operations.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- backend, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100