上下文感知后路由冗余通过插入

P. Chu, Rung-Bin Lin, Da-Wei Hsu, Yu-Hsing Chen, Wei-Chiu Tseng
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引用次数: 1

摘要

针对后路由插入冗余(RVI)问题,提出了有效的算法。然而,这些算法的实现往往忽略了一些实际问题。在本文中,我们实现了一个路由后RVI算法,该算法在RVI期间考虑了互连上下文。实验结果表明,我们的上下文感知RVI平均将via1(金属层1和金属层2之间的孔)插入率从37.4%提高到72.1%,总插入率从72.5%提高到85.8%。它使关键路径的RVI率平均提高3.6%。此外,通过最小化冗余引脚面积,我们的方法将引脚处用于RVI的金属1和金属2面积减少了3%。
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Context-aware Post Routing Redundant Via Insertion
Effective algorithms have been invented for post-routing redundant via insertion (RVI). However, implementations of these algorithms often ignore some practical issues. In this article, we implement a post-routing RVI algorithm that takes into account interconnect contexts during RVI. Experimental results show that our context-aware RVI on average raises via1 (vias between metal layer 1 and 2) insertion rate from 37.4% to 72.1% and total insertion rate from 72.5% to 85.8%. On average, it increases RVI rate of critical paths by 3.6%. Besides, with redundant pin-area minimization, our approach reduces metal 1 and metal 2 area used for RVI at pins by 3%.
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