Empire: an efficient and compact multiple-parameterized model order reduction method

Authors:
Yiyu Shi;Lei He
Affiliations:
University of California: Los Angeles, Los Angeles, CA;University of California: Los Angeles, Los Angeles, CA
Venue:
Proceedings of the 2007 international symposium on Physical design
Year:
2007

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Abstract

In physical design and optimization for VLSI/ULSI, parameterized model order reduction can be used to handle large design objectives. In this paper we propose an efficient yet accurate parameterized model order reduction method EMPIRE for physical design with multiple parameters. It is the first practical algorithm using implicit moment matching to handle high order moments of very large number of parameters. In addition, it can match the moments of different parameters with different accuracy according to their influence on the objective under study. Experiment results show that compared with the best existing algorithm CORE which uses explicit moment matching for the parameters, EMPIRE results in 47.8X improved accuracy at a similar runtime.