llnl / llnl/benchpark

Metrics

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#1,083 0 comments 0 reactions 1 assignee View on GitHub

@pearce8 is already working on this.

Since Sep 24, 2025.

Dominant language
Python
Stars
78
Forks
52
Avg merge
4d 19m
Merged PRs (30d)
10

Description

  • insights per second
  • training time, model accuracy, number of useful inferences
  • user throughput of different models
  • how tightly coupled: heterogeneity on the node vs. at the system level
  • architectural requirements: how much state need to keep, number of loads/stores vs. vector products, how sparse they are

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First steps

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  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.

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