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dac-experiments

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Use when designing or auditing the empirical evaluation of an ACM/IEEE Design Automation Conference (DAC) Research Manuscript, covering standard EDA benchmark suites (ISPD, EPFL, ISCAS/ITC, TAU, CircuitNet, OpenROAD flows), fair state-of-the-art baselines, QoR/PPA reporting with runtime, per-benchmark honesty, ablations that isolate the mechanism, and contamination-aware ML-for-EDA evaluation.

When to use

• Designing empirical evaluation for DAC Research Manuscripts
• Auditing empirical evaluation for DAC Research Manuscripts
• Selecting standard EDA benchmark suites
• Ensuring fair state-of-the-art baselines
• Reporting QoR/PPA with runtime
• Designing ablations to isolate mechanisms
• Conducting contamination-aware ML-for-EDA evaluation

When not to use

• Evaluations relying solely on private benchmarks

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