一个统一的多角多模式静态时序分析引擎

Jing-Jia Nian, Shihgeng Tsai, Chung-Yang Huang
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引用次数: 10

摘要

本文提出了一种统一的多角多模静态时序分析引擎,可以有效地计算各种超大规模电路中过程角的最坏情况延迟。我们的主要贡献包括:(1)基于路径和参数的分支定界算法的无缝集成,使引擎对不同类型的电路非常鲁棒;(2)改进的搜索空间修剪技术;(3)用于初始搜索空间修剪的简单而有效的关键路径延迟界。实验结果表明,在具有不同工艺参数数量的各种基准电路中,我们的引擎可以显著优于先前的MCMM STA方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A unified Multi-Corner Multi-Mode static timing analysis engine
In this paper, we proposed a unified multi-corner multi-mode (MCMM) static timing analysis (STA) engine that can efficiently compute the worst-case delay of the process corners in various very large scaled circuits. Our key contributions include: (1) a seamless integration of the path-and parameter-based branch-and-bound algorithms so that the engine is very robust for different kinds of circuits, (2) an improved search space pruning technique, (3) a simple yet efficient critical path delay bound for the initial search space pruning. Our experimental results show that our engine can significantly outperform the prior MCMM STA approaches in various benchmark circuits with different number of process parameters.
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