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Table of contents (7 chapters)
Keywords
About this book
This book describes accurate but conservative methods for computing delay variation due to coupling. Furthermore, most of these methods are computationally efficient enough to be employed in a static timing analysis tool for complex integrated digital circuits. To achieve accuracy, a more accurate computation of the Miller factor is derived. To achieve both computational efficiency and accuracy, a variety of mechanisms for pruning the search space are detailed, including:
-Spatial pruning - reducing aggressors to those in physical proximity,
-Electrical pruning - reducing aggressors by electrical strength,
-Temporal pruning - reducing aggressors using timing windows,
-Functional pruning - reducing aggressors by Boolean functional analysis.
Reviews
(William J. Grundmann, Intel Fellow, Intel Corporation)
"All signoff analyses - timing, coupling, power, temperature, and reliability - rely on the analysis of crosstalk noise. This book is an important contribution to the field: it provides a synthesis of analytic bounding of crosstalk effects, switching window convergence, and other recent elements of crosstalk methodology. It provides a level of understanding that will be essential for researchers, developers, and users of leading EDA tools going forward."
(Andrew B. Kahng, Professor of CSE and ECE, University of California, San Diego)
Authors and Affiliations
Bibliographic Information
Book Title: Static Crosstalk-Noise Analysis
Book Subtitle: For Deep Sub-Micron Digital Designs
Authors: Pinhong Chen, Desmond A. Kirkpatrick, Kurt Keutzer
DOI: https://doi.org/10.1007/b117251
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2004
Hardcover ISBN: 978-1-4020-8091-3Published: 07 June 2004
Softcover ISBN: 978-1-4757-7949-3Published: 31 May 2013
eBook ISBN: 978-1-4020-8092-0Published: 08 May 2007
Edition Number: 1
Number of Pages: XVIII, 113
Topics: Circuits and Systems, Electrical Engineering, Computer-Aided Engineering (CAD, CAE) and Design
Industry Sectors: Aerospace, Automotive, Electronics, Energy, Utilities & Environment, Engineering, IT & Software, Oil, Gas & Geosciences, Telecommunications