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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Published in | 32nd Design Automation Conference pp. 474 - 479 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
New York, NY, USA
ACM
01.01.1995
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Series | ACM Conferences |
Subjects | |
Online Access | Get full text |
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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. |
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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 |