电路仿真中的反向遍历波形松弛算法及按需仿真

Chun-Jung Chen, Jung-Lang Yu, Tai-Ning Yang
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引用次数: 0

摘要

本文提出了一种新的基于弛豫的电路仿真算法——反向遍历波形弛豫(BTWR)。BTWR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。BTWR的主要优点是能够根据子电路的收敛情况灵活调度子电路进行计算,使BTWR在处理各种类型的电路时具有鲁棒性和高效性。在BTWR中构造了按需仿真(SOD)函数。所有提出的方法都通过模拟各种电路进行了实现和测试
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Backward-traversing Waveform Relaxation Algorithm for Circuit Simulation and Simulation on Demand
This paper proposes a new relaxation-based circuit simulation algorithm called backward-traversing waveform relaxation (BTWR). BTWR employs a brand new strategy to simulate: it simulates by performing depth-first search in the signal flow graph of simulated circuits. Major advantage of BTWR is the ability to flexibly schedule subcircuits for calculating according to subcircuits' converging situations, which enables BTWR to act robustly as well as efficiently in dealing with various types of circuits. The simulation on demand (SOD) function is also constructed in BTWR. All proposed methods have been implemented and tested by simulating various circuits
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