llnl / llnl/raja-suite-tutorial
Make raja_reduce lesson more complex
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- Dominant language
- C++
- Stars
- 9
- Forks
- 2
- Avg merge
- 2h 37m
- Merged PRs (30d)
- 4
Description
Currently, lesson 5 (raja reduce) only shows the reduction done on the cpu, but it would be better to either add openmp or gpu stuff.. (if it is gpu stuff then it might have to be rearranged to match the flow of the tutorials (by lesson 5, gpu/device stuff hasn't been introduced yet)
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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
Start by reading lesson 5 and the surrounding tutorial lessons to understand the current CPU reduction and when OpenMP or GPU/device concepts are introduced. Choose and define the expanded lesson scope, then update the lesson so its reduction example fits the tutorial flow and demonstrates the selected execution approach.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- documentation
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100