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

Ren, Shuo et al.
arXiv (All) · Papers
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artificial-intelligence
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 genera
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