AgenticPD: A Stage-Aware Agentic Framework for Closed-Loop Physical Design Optimization

Excerpt

arXiv:2607.04758v3 Announce Type: replace Abstract: Physical design quality-of-results (QoR) optimization is hard and expensive. Choices made at one stage can help or hurt later stages. Each evaluation requires a costly EDA run through the full flow. While existing methods still treat optimization as flat parameter tuning or a LLM-based script generation task, we present AgenticPD, a stage-aware agentic framework for physical design QoR optimization. Instead of re-running the full flow after eve