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English(EN) AutoPPA: Automated Circuit PPA Optimization via Contrastive Code-based Rule Library Learning

AutoPPA框架利用学习到的规则自动化电路PPA优化

研究人员开发了AutoPPA,一个旨在自动化RTL设计中性能、功耗和面积(PPA)优化的新框架。与依赖人工定义的规则或缺乏先验知识的先前方法不同,AutoPPA自动生成自己的优化规则。它通过一个探索-评估-归纳的工作流程来实现这一点,该工作流程从对比代码对中抽象出规则,从而产生更有效的优化模式。实验表明,AutoPPA优于现有的最先进方法和手动优化技术。 AI

影响 自动化RTL设计优化,可能提高硬件开发效率并减少手动工作量。

排序理由 这是一篇介绍一种新的自动化电路优化框架的研究论文。

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

AutoPPA框架利用学习到的规则自动化电路PPA优化

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报道来源 [1]

  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:通过对比式基于代码的规则库学习实现自动化电路PPA优化

    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…