Reduced-order modeling of large linear subcircuits via a block Lanczos algorithm

A method for the efficient computation of accurate reduced-order models of large linear circuits is described. The method, called MPVL, employs a novel block Lanczos algorithm to compute matrix Padé approximations of matrix-valued network transfer functions. The reduced-order models, computed to the...

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Bibliographic Details
Published in32nd Design Automation Conference pp. 474 - 479
Main Authors Feldmann, P., Freund, R. W.
Format Conference Proceeding
LanguageEnglish
Published New York, NY, USA ACM 01.01.1995
SeriesACM Conferences
Subjects
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Summary:A method for the efficient computation of accurate reduced-order models of large linear circuits is described. The method, called MPVL, employs a novel block Lanczos algorithm to compute matrix Padé approximations of matrix-valued network transfer functions. The reduced-order models, computed to the required level of accuracy, are used to speed up the analysis of circuits containing large linear blocks. The linear blocks are replaced by their reduced-order models, and the resulting smaller circuit can be analyzed with general-purpose simulators, with significant savings in simulation time and, practically, no loss of accuracy.
Bibliography:SourceType-Conference Papers & Proceedings-1
ObjectType-Conference Paper-1
content type line 25
ISBN:0897917251
9780897917254
ISSN:0738-100X
DOI:10.1145/217474.217573