AI RESEARCH
AutoPPA: Automated Circuit PPA Optimization via Contrastive Code-based Rule Library Learning
arXiv CS.LG
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ArXi:2604.18445v1 Announce Type: new Performance, power, and area (PPA) optimization is a fundamental task in RTL design, requiring a precise understanding of circuit functionality and the relationship between circuit structures and PPA metrics. Recent studies attempt to automate this process using LLMs, but neither feedback-based nor knowledge-based methods are efficient enough, as they either design without any prior knowledge or rely heavily on human-summarized optimization rules. In this paper, we propose AutoPPA, a fully automated PPA optimization framework.