PRIMA: passive reduced-order interconnect macromodeling algorithm

1998/01/01 by Altan Odabasioglu, M. Celik, Lawrence T. Pileggi · 3 citations
Engineering · Physics and Astronomy · #Electromagnetic Simulation and Numerical Methods #Low-power high-performance VLSI design #Model Reduction and Neural Networks

paper · doi:10.1109/43.712097

openalex publication_date 1998/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/15

Abstract

This paper describes an algorithm for generating provably passive reduced-order N-port models for RLC interconnect circuits. It is demonstrated that, in addition to macromodel stability, macromodel passivity is needed to guarantee the overall circuit stability once the active and passive driver/load models are connected. The approach proposed here, PRIMA, is a general method for obtaining passive reduced-order macromodels for linear RLC systems. In this paper, PRIMA is demonstrated in terms of a simple implementation which extends the block Arnoldi technique to include guaranteed passivity while providing superior accuracy. While the same passivity extension is not possible for MPVL, comparable accuracy in the frequency domain for all examples is observed.

Citations

• Asymptotic waveform evaluation for timing analysis

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