English(EN) MacroAgent: Regularity-Aware Macro Legalization with LLM-Agent-Designed Contour Algorithms

LLM设计的算法提升VLSI宏单元布局效率

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-27 04:00

研究人员开发了MacroAgent，一个旨在改进超大规模集成（VLSI）设计中宏单元布局的新框架。这种四阶段方法利用大型语言模型（LLMs）生成启发式算法，以增强布局规则性。MacroAgent已证明比现有方法有显著改进，包括布局规则性提高2到8倍，布线长度减少3%到5%，并且端到端评估证实了实际的功耗、性能和面积（PPA）收益。 AI

影响这项研究可能通过利用LLMs处理复杂的算法任务，从而实现更高效、更强大的芯片设计。

排序理由该集群包含一篇详细介绍VLSI设计新算法的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.LG 阅读 →

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Newsworthiness bucket: Tool; 该集群包含一篇详细介绍VLSI设计新算法的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Jiaxi Jiang, Xufeng Yao, Yuxuan Zhao, Yuntao Lu, Peiyu Liao, Zuodong Zhang, Yibo Lin, Bei Yu · 2026-08-27 04:00

MacroAgent：具有LLM-Agent设计的轮廓算法的正则感知宏合法化

arXiv:2608.24946v1 Announce Type: new Abstract: Macros constitute a large part of the core area in modern very large-scale integration (VLSI) designs. Moreover, macro positions have a significant impact on the final quality of result (QoR), and macro legalization is typically the…

本文如何被排名

报道来源 [1]

MacroAgent：具有LLM-Agent设计的轮廓算法的正则感知宏合法化

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