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AutoPPA framework automates circuit PPA optimization using learned rules

Researchers have developed AutoPPA, a new framework designed to automate the optimization of performance, power, and area (PPA) in RTL design. Unlike previous methods that relied on human-defined rules or lacked prior knowledge, AutoPPA automatically generates its own optimization rules. It achieves this through an Explore-Evaluate-Induce workflow that abstracts rules from contrasting code pairs, leading to more effective optimization patterns. Experiments indicate that AutoPPA surpasses existing state-of-the-art methods and manual optimization techniques. AI

IMPACT Automates RTL design optimization, potentially improving efficiency and reducing manual effort in hardware development.

RANK_REASON This is a research paper introducing a new automated framework for circuit optimization.

Read on arXiv cs.LG →

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AutoPPA framework automates circuit PPA optimization using learned rules

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  1. arXiv cs.LG TIER_1 English(EN) · Chongxiao Li, Pengwei Jin, Di Huang, Guangrun Sun, Husheng Han, Jianan Mu, Xinyao Zheng, Jiaguo Zhu, Shuyi Xing, Hanjun Wei, Tianyun Ma, Shuyao Cheng, Rui Zhang, Ying Wang, Zidong Du, Qi Guo, Xing Hu ·

    AutoPPA: Automated Circuit PPA Optimization via Contrastive Code-based Rule Library Learning

    arXiv:2604.18445v2 Announce Type: replace Abstract: 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 atte…