Efficient Reduced-Order Modeling of Frequency-Dependent Coupling Inductances associated with 3-D Interconnect Structures

Abstract

Since the first papers on asymptotic waveform evaluation (AWE), reduced order models have become standard for improving interconnect simulation efficiency, and very recent work has demonstrated that bi-orthogonalization algorithms can be used to robustly generate AWE-style macromodels. In this paper we describe using block Arnoldi-based orthogonalization methods to generate reduced order models from FastHenry, a multipole-accelerated three dimensional inductance extraction program. Examples are analyzed to demonstrate the efficiency and accuracy of the block Arnoldi algorithm.