DAC Topic Selection
SkillMediaUse 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.
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the DAC Topic Selection skill
What this skill tells your AI
The instructions your AI receives, as published by brycewang-stanford/awesome-journal-skills in DAC-Skills/skills/dac-topic-selection/SKILL.md and read by ahel’s review.
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
- 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.
- 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.
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- Sep 2026
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