电路仿真中的反向遍历松弛算法

Chun-Jung Chen, Tai-Ning Yang, Jenn-Dong Sun
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引用次数: 7

摘要

本文提出了一种新的基于弛豫的电路仿真算法,该算法比传统的波形弛豫(WR)和迭代时序分析(ITA)等方法具有更高的鲁棒性和效率。该方法采用了一种全新的仿真策略:在仿真电路的信号流图中进行深度优先搜索进行仿真。该方法根据子电路的收敛情况灵活地调度子电路进行计算,在处理各种类型的电路时既具有鲁棒性又具有高效性。基于该方法的电路仿真程序已经实现,并对各种电路进行了测试以证明其性能
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Backward-traversing Relaxation Algorithm for Circuit Simulation
This paper proposes a new relaxation-based circuit simulation algorithm that is more robust and efficient than traditional methods such as waveform relaxation (WR) and iterated timing analysis (ITA). The new method employs a brand new strategy to simulate: it simulates by performing depth-first search in the signal flow graph of simulated circuits. The new method flexibly schedules subcircuits for calculating according to converging situations of subcircuits, so it can achieve robustness as well as efficiency in dealing with various types of circuits. A circuit simulation program based on the proposed method has been implemented, and various circuits have been tested to justify its performance
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