利用电路感知技术高效的基于peec的电感提取

Haitian Hu, S. Sapatnekar
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引用次数: 1

摘要

提出了一种实用的片上电感提取方法,以获得稀疏、稳定、准确的逆电感矩阵K。我们工作的新颖之处在于使用电路特性来定义电阻为主线和电感为主线的概念。这个概念用于逐步细化一组电感紧耦合的簇。在设计合理的情况下,对于延迟和振荡幅度误差分别为10%和15%时,更精确的算法可实现97%的稀疏化,而更近似的算法可实现99%的稀疏化。该工作的一个分支是K-PRIMA,它是PRIMA的一个扩展,用于处理具有保证无源性的K矩阵。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient PEEC-based inductance extraction using circuit-aware techniques
Practical approaches for on-chip inductance extraction to obtain a sparse, stable and accurate inverse inductance matrix K are proposed. The novelty of our work is in using circuit characteristics to define the concept of resistance-dominant and inductance-dominant lines. This notion is used to progressively refine a set of clusters that are inductively tightly-coupled. For reasonable designs, the more exact algorithm yields a sparsification of 97% for delay and oscillation magnitude errors of 10% and 15%, respectively, while the more approximate algorithm achieves up to 99% sparsification. An offshoot of this work is K-PRIMA, an extension of PRIMA to handle K matrices with guaranteed passivity.
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