dac-topic-selection

GitHub

辅助判断EDA或芯片设计项目应投稿至DAC还是其他会议,并决定选择Research Manuscript还是Engineering Track。基于贡献性质、QoR证据成熟度及截止日期进行路由决策,避免选错会场或赛道。

DAC-Skills/skills/dac-topic-selection/SKILL.md brycewang-stanford/Awesome-Journal-Skills

触发场景

决定论文投稿的学术会议和具体Track 评估EDA/芯片设计项目的成果类型与适用 venue

安装

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill dac-topic-selection -g -y
更多选项

非标准路径

npx skills add https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/DAC-Skills/skills/dac-topic-selection -g -y

不安装直接使用

npx skills use brycewang-stanford/Awesome-Journal-Skills@dac-topic-selection

指定 Agent (Claude Code)

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill dac-topic-selection -a claude-code -g -y

安装 repo 全部 skill

npx skills add brycewang-stanford/Awesome-Journal-Skills --all -g -y

预览 repo 内 skill

npx skills add brycewang-stanford/Awesome-Journal-Skills --list

SKILL.md

Frontmatter
{
    "name": "dac-topic-selection",
    "description": "Use when deciding whether an EDA or chip-design project belongs at the ACM\/IEEE Design Automation Conference (DAC) and, if so, in the double-blind archival Research Manuscript track versus the industry-facing Engineering Track — or whether it should route to a sibling EDA venue (ICCAD, DATE, ASP-DAC) or a computer-architecture venue (ISCA\/MICRO\/HPCA), decided by contribution shape, QoR evidence maturity, and the November calendar."
}

DAC Topic Selection

Decide the venue and the track before drafting. DAC — the ACM/IEEE Design Automation Conference, "The Chips to Systems Conference" — is the premier forum for electronic design automation (EDA) and chip/system design. Its distinguishing structural fact, absent from the academic architecture venues, is that DAC hosts two peer-reviewed paper tracks with different review models: the double-blind, archival Research Manuscript track and the industry-facing Engineering Track. Picking the wrong track wastes a full cycle just as surely as picking the wrong conference.

The two questions, in order

  1. Is this a DAC contribution at all? DAC rewards work that advances how chips and systems are designed, automated, verified, or secured — a new placement/routing algorithm, a synthesis or verification technique, an ML-for-EDA method, a hardware-security defense, a design methodology with measured QoR impact. A pure computer-architecture result (a new microarchitecture, a cache policy) whose EDA/automation angle is incidental is respected and then routed to ISCA/MICRO/HPCA.
  2. Research Manuscript or Engineering Track? This is the DAC-specific fork. Route by whether the core deliverable is a novel, archival research contribution evaluated against baselines (Research) or a deployed industrial design/flow/methodology lesson from practice (Engineering).

Research Manuscript vs Engineering Track

Signal in your project Track Why
Novel algorithm/technique with QoR gains vs prior art, generalizable Research Manuscript Double-blind, archival on ACM DL; judged on novelty + evidence
An empirical or ML-for-EDA study that changes what the field believes Research Manuscript Archival research contribution
A real tapeout/flow experience, tool-deployment lesson, or methodology from industry Engineering Track Practitioner audience; separate committee; presentation-first
Front-end design, back-end design, IP, or embedded SW/HW practice you want peers to learn from Engineering Track Its named scope; not required to out-QoR a baseline
Result too early/small for archival novelty but timely Late Breaking Results Short poster-style track, later deadline

The trap for academics: submitting a solid-but-incremental flow improvement to the Research track where it dies on novelty, when the Engineering Track would have welcomed it as a practice lesson. The trap for practitioners: hiding a genuinely novel algorithm in the Engineering Track and losing the archival citation record.

Sibling-venue routing (EDA and architecture)

Signal in your project Better home Why
Broad EDA/chip-design contribution, ready now, DAC deadline nearer DAC Research The flagship EDA venue; largest audience and industry reach
Deeper CAD-algorithm focus, or DAC deadline already passed ICCAD The other top EDA venue; complementary fall calendar
European community, design-and-test emphasis DATE Design, Automation and Test in Europe (distinct venue)
Asia-Pacific community, ASP-DAC's January cycle fits ASP-DAC Asia and South Pacific DAC (distinct venue)
Core is a microarchitecture / accelerator idea, EDA is incidental ISCA / MICRO / HPCA Computer-architecture flagships, different reviewer pool
Test/reliability depth ITC / VTS Test-community venues
Analog/RF circuit design as the contribution ISSCC / CICC / VLSI Circuits venues, not the EDA-algorithm venue

Name-collision guard: ASP-DAC and DATE are not DAC; they have their own calls and deadlines. And "DAC" in a circuits paper often means digital-to-analog converter — a valid DAC research topic, not the conference.

Contribution shapes DAC Research rewards

  • A new EDA algorithm + tool + QoR evaluation — synthesis, placement, routing, timing, power, verification, or test, showing measured PPA (power/performance/area), wirelength, timing slack, or runtime gains over the strongest prior technique on standard benchmarks.
  • ML for EDA — learning-based placement, routing, synthesis, timing/IR-drop prediction, or an agentic/foundation-model approach to a design task, with a fair non-ML or prior-ML baseline.
  • Hardware security — a concrete attack or defense (side-channel, Trojan, IP protection, post-quantum primitive, supply-chain integrity) with a threat model and measured overhead.
  • Design methodology / system-level — chiplet integration, 3D-IC, near-memory, or a cross-layer methodology whose payoff is demonstrated on a realistic design.
  • Emerging technology — quantum EDA, in-memory/neuromorphic, or approximate computing, with an automation or design-quality contribution rather than a device-physics one.

The QoR-impact and model-swap tests

  • QoR-impact test: state your gain in the field's own currency — "X% wirelength / Y% total negative slack / Z× runtime at equal quality." If you cannot phrase the contribution as a measured QoR delta or a new capability, the Research track will read it as incremental.
  • Model-swap test (for ML-for-EDA): if you swap the learner for another, does the EDA lesson survive? If the paper is really about a model architecture with a toy EDA wrapper, it is an ML paper and routes to an ML venue; DAC wants the design-automation lesson.

Cheap reconnaissance before committing

[Scope]    scan the last two DAC programs (dblp, ACM DL) for your subarea
           -> 3+ recent papers = a reviewer pool exists; 0 = mismatch or ICCAD/DATE fit
[Benchmarks] does a standard suite exist for your problem (ISPD, EPFL, ISCAS/ITC, TAU, CircuitNet)?
           -> reviewers expect it; a private-benchmark-only evaluation is a scored weakness
[Calendar] DAC manuscript deadline is ~November; ICCAD is later, ASP-DAC is January, DATE differs
           -> route to the nearest honest fit rather than idling a cycle

Decision procedure

[Is it EDA/chip-design?] automation/verification/security/methodology contribution? -> DAC candidate
[Track fork] novel + archival + baselined -> Research Manuscript
             industrial practice/deployment lesson -> Engineering Track
             timely but early -> Late Breaking Results
[Sibling check] CAD-algorithm depth & fall timing -> ICCAD; architecture core -> ISCA/MICRO/HPCA;
                circuits core -> ISSCC/CICC
[Verdict] DAC Research / DAC Engineering / sibling venue, with a one-line QoR-framed reason

Run this before the writing skills; a wrong track or venue decision wastes every later step. When the verdict is DAC Research, continue with dac-workflow for the November-anchored calendar and dac-writing-style for the 6+1-page paper shape.

版本历史

  • 9f86f09 当前 2026-07-19 15:13

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元信息

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版本
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收录时间
2026-07-19 15:13

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