Advanced Model Order Reduction Techniques in VLSI Design - Hardcover

Tan, Sheldon; He, Lei

Hardcover

ISBN 10: 0521865816 ISBN 13: 9780521865814

Publisher: Cambridge University Press, 2007

Synopsis

Model order reduction (MOR) techniques reduce the complexity of VLSI designs, paving the way to higher operating speeds and smaller feature sizes. This book presents a systematic introduction to, and treatment of, the key MOR methods employed in general linear circuits, using real-world examples to illustrate the advantages and disadvantages of each algorithm. Following a review of traditional projection-based techniques, coverage progresses to more advanced MOR methods for VLSI design, including HMOR, passive truncated balanced realization (TBR) methods, efficient inductance modeling via the VPEC model, and structure-preserving MOR techniques. Where possible, numerical methods are approached from the CAD engineer's perspective, avoiding complex mathematics and allowing the reader to take on real design problems and develop more effective tools. With practical examples and over 100 illustrations, this book is suitable for researchers and graduate students of electrical and computer engineering, as well as practitioners working in the VLSI design industry.

About this title

Book Description

This book introduces key model order reduction techniques in linear circuits, covering traditional methods and 'state-of-the-art', with real-world examples illustrating advantages and disadvantages. Numerical methods are treated from the CAD engineer's perspective. For researchers and graduate students of electrical and computer engineering, and practitioners working in the VLSI design industry.

About the Author

Lei He is an associate professor in the Department of Electrical Engineering at the University of California, Los Angeles, where he was also awarded his PhD in computer science in 1999. His current research interests include computer-aided design of VLSI circuits and systems.

Edition details

• Publisher: Cambridge University Press
• Publication date: 2007
• Language: English
• ISBN 10: 0521865816
• ISBN 13: 9780521865814
• Binding: Hardcover
• Number of pages: 260