claude

hpca-skills

Twelve HPCA-specific skills for high-performance computer architecture submission strategy, grounded in HPCA 2026/2027 official pages, the IEEE-CS TCCA sponsorship, and the HPCA Test of Time lineage.

1,413 on GitHubby Bryce Wangv1.1.0MITupdated 1 month agoacademic
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Plugin hpca-skills from marketplace awesome-journal-skills in brycewang-stanford/Awesome-Journal-Skills. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (12)

  • hpca-artifact-evaluation

    Use when packaging an HPCA artifact for the voluntary post-acceptance evaluation on the separate AE HotCRP: scoping reproducibility tiers, preparing simulator- and silicon-heavy workflows for cold-start evaluators, budgeting their wall-clock time, and earning IEEE reproducibility badges.

  • hpca-author-response

    Use when drafting an HPCA rebuttal and revision in the single combined window: triaging objections by what the window can fix, running a small number of new experiments, writing for the program-committee room and its champion, and revising the paper diff-minimally so response and revision agree.

  • hpca-camera-ready

    Use when preparing an HPCA camera-ready: inverting every blinding action, applying the IEEE template and rights forms, restoring acknowledgments and the AI-use disclosure, integrating reproducibility badges and DOIs, and preparing the February/March talk in the winter slot.

  • hpca-experiments

    Use when auditing an HPCA evaluation: declaring the fidelity contract (simulator, configuration, workloads, sampled regions, validation), matching each claim to its instrument, capturing real-silicon machine state, tuning baselines honestly, and reporting per-workload distributions rather than a sin

  • hpca-related-work

    Use when building an HPCA related-work section: sweeping the HPCA/ISCA/MICRO/ASPLOS record on dblp and IEEE Xplore, writing lineage paragraphs with structural deltas, blinding self-citations without touching the bibliography, and honoring the rule that every reference lists all its authors.

  • hpca-reproducibility

    Use when strengthening HPCA reproducibility: pinning the result chain from simulator commit through config, workload, sampled region, and statistics, building one manifest per figure, recording machine state for silicon runs, and keeping the environment resurrectable for the IEEE artifact-badging ro

  • hpca-review-process

    Use when reasoning about the HPCA review pipeline: the double-blind process, what a single combined rebuttal/revision window means, champion dynamics at the program-committee meeting, how to read each outcome, and how confidentiality and the preprint policy shape expectations.

  • hpca-submission

    Use when auditing an HPCA submission for the two-step July gate on HotCRP, the 11-page main-body limit, the IEEE template, double-blind anonymity plus the all-authors reference rule, the AI-use disclosure, artifact-link scrubbing, and final-week sequencing before the paper deadline.

  • hpca-supplementary

    Use when deciding where HPCA material belongs across the four destinations the venue offers — the 11-page body, the anonymized artifact mirror, the staging shelf for the rebuttal/revision window, and the post-acceptance public release — while keeping anonymity intact and every reference author-compl

  • hpca-topic-selection

    Use when deciding whether a project is HPCA-shaped or better routed to ISCA, MICRO, ASPLOS, or a systems/theory venue, weighing whether the machine, the mechanism, or the measurement is the contribution, and whether the main track or the HPCA Industry track fits, from the winter seat of the architec

  • hpca-workflow

    Use when planning an HPCA project timeline from venue fit through the two-step July registration and paper gate, the autumn review wait, the single rebuttal/revision window, notification, IEEE camera-ready, artifact evaluation, and the February/March talk, with backward-planning offsets for a hardwa

  • hpca-writing-style

    Use when revising an HPCA paper for the mechanism-to-behavior first-page arc, a measured motivation before the fix, a checkable mechanism description, numbers that name their instrument, and 11-page compression that leaves slack for the single rebuttal/revision window.

View source on GitHub copaper.ai

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