연결

PPoPP Experiment Auditor

brycewang-stanfordbybrycewang-stanford
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1.1k
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학습 및 문서화

Designs and audits parallel computing experimental evaluations and concurrency correctness arguments for PPoPP paper submissions.

PPoPP Experiment Auditor helps parallel systems researchers design, benchmark, and audit empirical evaluations to meet the stringent standards of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP). It guides authors through proving concurrency correctness alongside measured scalability, avoiding common pitfalls such as missing NUMA sweeps, unaccounted memory reclamation overheads, weak baselines, and insufficient variance reporting. By enforcing rigorous measurement hygiene and preempting rebuttal challenges, it ensures parallel algorithms, runtimes, and GPU kernels withstand rigorous peer review.

주요 기능

01Evaluates the twin bar of concurrency correctness proofs and empirical scalability curves
02Preempts reviewer rebuttal questions by recommending pre-submission extended sweeps and stress tests
03Structures strong versus weak scaling, core/thread sweeps, NUMA topology, and GPU occupancy analysis
041,090 GitHub stars
05Ensures measurement hygiene including thread pinning, machine isolation, warm-up runs, and variance reporting
06Audits baseline comparisons against tuned, state-of-the-art competitors on identical hardware

사용 사례

01Preparing rebuttal datasets and responses to reviewer critiques regarding scaling limits and baseline choices
02Auditing an empirical evaluation section before submitting a paper to PPoPP, SPAA, or SC
03Designing rigorous benchmark suites for lock-free data structures, parallel runtimes, or GPU accelerators