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OverviewThe IC industry, including digital and analog circuit design houses, electrical design automation software vendors, library and IP providers, faces significant challenges in designing nanometer VLSI systems. The design productivity gap between nanometer VLSI technologies and today's design capabilities mainly comes from the exponentially growing complexity of VLSI systems due to relentless pressures for higher integration. The physical effects on the performance and reliability of these systems are becoming more pronounced. The book includes the most updated discoveries such as Y-Delta transformation and DDD-graph symbolic representation, which allow analysis and modeling of much larger circuitry than ever before. Full Product DetailsAuthor: Zhanhai Qin , Chung-Kuan Cheng , Jeff Qin (University of California, San Diego) , Sheldon TanPublisher: Springer-Verlag New York Inc. Imprint: Springer-Verlag New York Inc. Edition: 2005 ed. Dimensions: Width: 15.50cm , Height: 1.90cm , Length: 23.50cm Weight: 1.340kg ISBN: 9780387239040ISBN 10: 0387239049 Pages: 284 Publication Date: 15 December 2004 Audience: College/higher education , Professional and scholarly , Postgraduate, Research & Scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationZhanhai Qin received his B.S. degree in computer science and technology from Tsinghua University in 1999, and his Ph.D. degree in computer science and engineering from University of California, San Diego in 2003. He is now working at Synopsys Inc. His research interests include circuit analysis and simulation, signal integrity issues in deep sub-micron VLSI designs. Sheldon X.-D. Tan received his B.S. and M.S. degrees in electrical engineering from Fudan University, Shanghai, China in 1992 and 1995, respectively and his Ph.D. in electrical and computer engineering from the University of Iowa, Iowa City, in 1999. He is an Assistant Professor in the Department of Electrical Engineering, University of California, Riverside. His research interests include several aspects of design automation for VLSI integrated circuits -- modeling, analysis and optimization of mixed-signal/RF/analog circuits, high-performance and intelligent embedded systems, signal integrity issues in VLSI physical design, high performance power/ground distribution network design and optimization. Dr. Tan received a Best Paper Award from the 1999 IEEE/ACM Design Automation Conference. Chung-Kuan Cheng received B.S. and M.S. degrees in electrical engineering from National Taiwan University, and a Ph.D. in electrical engineering and computer sciences from University of California, Berkeley in 1984. He is a Professor in the Computer Science and Engineering Department, University of California, San Diego, and an IEEE fellow. He received the best paper award IEEE Trans. on Computer-Aided Design in 1997, and in 2002 received the NCR excellence in teaching award from the UCSD School of Engineering. His research interests include circuit analysis, physical synthesis, and interconnect optimization. Tab Content 6Author Website:Countries AvailableAll regions |
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