google / google/android-riscv64
Investigate the status of SLP vectorizer
Open
- Dominant language
- No language data
- Stars
- 254
- Forks
- 20
- PR merge metrics
- No merged PRs in 30d
Description
As per [Super-Node SLP: Optimized Vectorization for Code Sequences Containing Operators and Their Inverse Elements](https://rcor.me/papers/cgo19snslp.pdf) the following benchmarks may have interesting code for SLP vectorization opportunities
- 433.milc
- 453.povray
- 454.calculix
We should just extract the interesting kernels and iterate on that if there are regressions compared to AArch64
Contributor guide
Assessment
This issue has not been assessed yet.