llnl / llnl/raja-suite-tutorial
Advanced tutorial
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- Dominant language
- C++
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- 9
- Forks
- 2
- Avg merge
- 2h 37m
- Merged PRs (30d)
- 4
Description
TODO: Make companion slides for the following examples
- Example of using gpu loop vs direct policies vs global policies @artv3
- Shared memory example - matrix transpose @kab163
- Example with RAJA/CAMP resource (will need to provide documentation) @artv3
- Kernel fusion example @artv3
- Advanced Umpire feature - coalesced pool @kab163
- Create before and after survey @artv3 @kab163
- Create slide deck @artv3 @kab163
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
Review the tutorial examples listed in the issue, especially the shared-memory matrix-transpose and kernel-fusion examples, then examine the existing tutorial materials before planning the companion slides. Done means the remaining examples are documented in a completed slide deck, with the requested RAJA/CAMP resource documentation included.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100