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Title: On Symbolic Model Order Reduction

Dr. C.-J. Richard Shi

From the University of Washington, DC

Authors

Guoyong Shi, Bo Hu, and Dr. C.-J. Richard Shi - Univ. of Washington, DC

Abstract

Symbolic model order reduction is to reduce the complexity of a model described with symbolic parameters. It has applications in analog circuit optimization, interconnect and RF structure synthesis, and process-variation-aware characterization and optimization. We describe three techniques, namely symbolic isolation, robust nominal projection, and first-order approximation. Numerical results are presented to illustrate the effectiveness of these techniques.

Biographical sketch

Richard Shi received the Ph.D. degree in computer science from the University of Waterloo, Waterloo, Ontario, Canada, in 1994.

He is currently a Professor of electrical engineering at the University of Washington, Seattle, working in the areas of computer-aided design and test of mixed-signal integrated circuits, communication circuit design, three-dimensional integrated circuits, and radiation-hardening .by-design techniques. He has supervised over 20 PhD students and post-doctoral researchers.

Dr. Shi is a contributor to the IEEE Std 1076.1-1999 (VHDL-AMS) standard for the description and simulation of mixed-signal circuits and systems. He founded the IEEE International Workshop on Behavioral Modeling and Simulation in 1997. He has been a (co-)recipient of several awards including an IEEE Circuits and Systems Society Donald O. Pederson Best Paper Award, a National Science Foundation CAREER Award, a Doctoral Prize from the Natural Science and Engineering Research Council of Canada, and Best Paper Awards from the IEEE VLSI Test Symposium, the IEEE/ACM Design Automation Conference, and SRC-TECHCON. He served as a Guest Editor and twice an Associate Editor of the IEEE Transactions on Circuits and Systems II. Since 1999, he has served as an Associate Editor of the IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.