llnl / llnl/RAJAPerf

Kernels to add

Open
#129 2 comments 0 reactions 3 assignees View on GitHub

@rhornung67 is already working on this.

Since Jun 8, 2021.

enhancement
Dominant language
Jupyter Notebook
Stars
135
Forks
55
Avg merge
4d 16h
Merged PRs (30d)
5

Description

List of kernels to add to the perf suite:

- [x] scan, index list building, #138
```
int scan = 0;
for (int i = ibegin; i < iend; ++i) {
if (x[i] > 0.5) {
list[scan++] = i;
}
}
int len = scan;
```

- [x] Reduction-only kernels. See https://github.com/LLNL/RAJAPerf/issues/114 and #179

- [x] More Atomic kernels. See https://github.com/LLNL/RAJAPerf/issues/115 and #179
- [ ] Variants of kernels using RAJA teams to compare against existing kernels that use RAJA::kernel interface
- [ ] Variants of kernels using vectorization API when the dust settles on it.
- [ ] More kernels from polybench suite that we don't support with RAJA::kernel, but can do with RAJA teams, such as triangular matrix operations.
- [ ] Kernels that call functions in different translation units

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.