llnl / llnl/RAJAPerf

Small Array Tunings

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

Description

Add tunings that use different memory for the small arrays in kernels like Apps_FIR and Basic_ARRAY_OF_PTRS. For example with cuda/hip add parameter, global, constant, and shared options to compare performance.

Contributor guide

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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.

Research direction

Start by locating the Apps_FIR and Basic_ARRAY_OF_PTRS kernels and their existing CUDA/HIP tunings. Review how tunings expose memory choices, then compare parameter, global, constant, and shared options; done means the options are implemented and their performance can be measured consistently.

Written by the indexing model from the issue text.

Assessment

Tech stack
cpp
Domain
performance
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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