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E-book
Author Singhee, Amith.

Title Novel algorithms for fast statistical analysis of scaled circuits / Amith Singhee, Rob A. Rutenbar
Published Dordrecht ; New York : Springer, ©2009

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Description 1 online resource (xv, 195 pages) : illustrations
Series Lecture notes in electrical engineering, 1876-1100 ; v. 46
Lecture notes in electrical engineering ; v. 46.
Contents SiLVR: projection pursuit for response surface modeling -- Quasi-Monte Carlo for fast statistical simulation of circuits -- Statistical blockade: estimating rare event statistics -- Concluding observations
Summary As VLSI technology moves to the nanometer scale for transistor feature sizes, the impact of manufacturing imperfections result in large variations in the circuit performance. Traditional CAD tools are not well-equipped to handle this scenario, since they do not model this statistical nature of the circuit parameters and performances, or if they do, the existing techniques tend to be over-simplified or intractably slow. Novel Algorithms for Fast Statistical Analysis of Scaled Circuits draws upon ideas for attacking parallel problems in other technical fields, such as computational finance, machine learning and actuarial risk, and synthesizes them with innovative attacks for the problem domain of integrated circuits. The result is a set of novel solutions to problems of efficient statistical analysis of circuits in the nanometer regime. In particular, Novel Algorithms for Fast Statistical Analysis of Scaled Circuits makes three contributions: 1) SiLVR, a nonlinear response surface modeling and performance-driven dimensionality reduction strategy, that automatically captures the designer's insight into the circuit behavior, by extracting quantitative measures of relative global sensitivities and nonlinear correlation. 2) Fast Monte Carlo simulation of circuits using quasi-Monte Carlo, showing speedups of 2× to 50× over standard Monte Carlo. 3) Statistical blockade, an efficient method for sampling rare events and estimating their probability distribution using limit results from extreme value theory, applied to high replication circuits like SRAM cells
Bibliography Includes bibliographical references and index
Notes English
Print version record
Subject Nanoelectronics -- Statistical methods
Integrated circuits -- Computer-aided design
Algorithms.
Algorithms
algorithms.
TECHNOLOGY & ENGINEERING -- Electronics -- Microelectronics.
TECHNOLOGY & ENGINEERING -- Electronics -- Digital.
Ingénierie.
Algorithms
Integrated circuits -- Computer-aided design
Form Electronic book
Author Rutenbar, Rob A., 1957-
ISBN 9789048131006
9048131006