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A Practical Regularization Technique for Modified Nodal Analysis in Large-Scale Time-Domain Circuit Simulation

机译:大规模时域电路仿真中用于修正节点分析的实用正则化技术

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摘要

Fast full-chip time-domain simulation calls for advanced numerical integration techniques with capability to handle the systems with (tens of) millions of variables resulting from the modified nodal analysis (MNA). General MNA formulation, however, leads to a differential algebraic equation (DAE) system with singular coefficient matrix, for which most of explicit methods, which usually offer better scalability than implicit methods, are not readily available. In this paper, we develop a practical two-stage strategy to remove the singularity in MNA equations of large-scale circuit networks. A topological index reduction is first applied to reduce the DAE index of the MNA equation to one. The index-1 system is then fed into a systematic process to eliminate excess variables in one run, which leads to a nonsingular system. The whole regularization process is devised with emphasis on exact equivalence, low complexity, and sparsity preservation, and is thus well suited to handle extremely large circuits.
机译:快速的全芯片时域仿真需要先进的数值积分技术,该技术必须能够处理具有经过修改的节点分析(MNA)产生的(数以千万计)变量的系统。但是,一般的MNA公式会导致具有奇异系数矩阵的微分代数方程(DAE)系统,为此,大多数显式方法(通常比隐式方法具有更好的可伸缩性)尚不可用。在本文中,我们开发了一种实用的两阶段策略,以消除大型电路网络的MNA方程中的奇点。首先应用拓扑指数减小将MNA方程的DAE指数减小为1。然后将index-1系统输入一个系统过程中,以消除一次运行中的过多变量,从而导致系统非单一。整个正则化过程的设计重点在于精确的等效性,低复杂度和稀疏性,因此非常适合处理超大型电路。

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