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ppopp-experiments

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Use when designing or auditing a PPoPP paper's evaluation, covering the twin bar of concurrency correctness and measured scalability — speedup curves, strong vs weak scaling, core/thread sweeps, NUMA and GPU effects, contention microbenchmarks plus real workloads, variance and measurement hygiene, and honest strong baselines.

PPoPP-Skills/skills/ppopp-experiments/SKILL.md

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# PPoPP Experiments

Design the evaluation to clear PPoPP's **twin bar**: the contribution must be **correct under
concurrency** and **measurably scalable**. A speedup with no correctness argument, or a correctness
proof with no scaling data, each fails half the venue. Reviewers are parallel-systems experts who
will interrogate the baseline, the machine, and the variance before they believe a number.

## Match evidence to the claim

| Claim shape | Evidence PPoPP expects | Common failure it catches |
|---|---|---|
| A lock-free/wait-free structure | Throughput vs. thread count under varied contention; a linearizability/progress argument; memory-reclamation overhead | Single contention level; "no race seen" instead of an argument |
| A parallel runtime/scheduler | Overhead vs. sequential; strong+weak scaling on real workloads; load-balance behavior | Microbenchmarks only; no real application |
| A GPU/accelerator technique | Speedup over a strong GPU baseline; occupancy/divergence analysis; transfer costs counted | Ignoring host-device transfer; a weak baseline kernel |
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