Multi-point model reductions of VLSI interconnects using the rational arnoldi method with adaptive orders

Abstract

The work proposes a model reduction method, the rational Arnoldi method with adaptive orders (RAMAO), to be applied to high-speed VLSI interconnect models. It is based on an extension of the classical multi-point Pade approximation, using the rational Arnoldi iteration approach. Given a set of predetermined expansion points, an exact expression for the error between the output moment of the original system and that of the reduced-order system, related to each expansion point, is derived first. In each iteration of the proposed RAMAO algorithm, the expansion frequency corresponding to the maximum output moment error will be chosen. Hence, the corresponding reduced-order model yields the greatest improvement in output moments among all reduced-order models of the same order.

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