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arXiv 2107.07044cs.LG
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NVCell:采用强化学习的先进技术节点中的标准单元布局

NVCell: Standard Cell Layout in Advanced Technology Nodes with Reinforcement Learning

NVIDIA(英伟达)

Haoxing Ren, Matthew Fojtik, Brucek Khailany

摘要:

由于复杂的设计规则,在先进技术节点中的高质量标准单元布局自动化在当今的行业中仍然具有挑战性。在本文中,我们介绍了一个自动的标准单元布局生成器称为NVCell,可以生成相同的或更小的面积超过90%的单行单元在一个先进的技术节点上的工业标准单元库的布局。NVCell利用强化学习(RL)来修复布线过程中的设计规则违规并生成有效的布局。

英文摘要:

High quality standard cell layout automation in advanced technology nodes is still challenging in the industry today because of complex design rules. In this paper we introduce an automatic standard cell layout generator called NVCell that can generate layouts with equal or smaller area for over 90% of single row cells in an industry standard cell library on an advanced technology node. NVCell leverages reinforcement learning (RL) to fix design rule violations during routing and to generate efficient placements.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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