Individual skill
ppopp-reproducibility
Use when making a PPoPP paper's parallel-performance results reproducible, covering the hardware and topology description reviewers re-run, thread pinning and NUMA control, seeds and warm-up, compiler/driver/flag provenance, and building an environment that reproduces the paper's scaling trend on different machines.
PPoPP-Skills/skills/ppopp-reproducibility/SKILL.md
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# PPoPP Reproducibility
Build the reproducibility story that a parallel-performance paper needs. Unlike a deterministic
algorithm, a PPoPP result depends on the **machine, the topology, and the run conditions** — and an
evaluator or a future reader will not have your exact node. Reproducibility here means someone else
can rebuild the environment and recover the **scaling trend and the relative comparison**, even when
their absolute numbers differ. Pin everything you can at run time; you cannot reconstruct it after
the machine is released.
## The environment description reviewers actually re-run
State enough that a stranger could stand up the same experiment:
```text