Authors:
- Presents flexible and general techniques for statistical analysis that can be applied to wide variety of circuit applications
- Applies theory from a wide variety of scientific fields (machine learning, computational finance, number theory, actuarial studies)
- Covers relevant theory in detail
- This is the first book to present these novel techniques
- Extensive experiments, illustrative examples and analysis
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 46)
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Table of contents (4 chapters)
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Front Matter
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Back Matter
About this book
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.
Reviews
The Statistical Blockade method proposed by Singhee and Rutenbar will make a significant impact on the design of next-generation digital integrated circuits. It has the potential to dramatically reduce simulation time compared to a traditional Monte Carlo approach. Their award winning work is well received by industry and has influenced research directions in academia.
- Prof. Anantha Chandrakasan, MIT
Bibliographic Information
Book Title: Novel Algorithms for Fast Statistical Analysis of Scaled Circuits
Authors: Amith Singhee, Rob A. Rutenbar
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-90-481-3100-6
Publisher: Springer Dordrecht
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media B.V. 2009
Hardcover ISBN: 978-90-481-3099-3Published: 10 August 2009
Softcover ISBN: 978-94-007-3687-0Published: 07 March 2012
eBook ISBN: 978-90-481-3100-6Published: 14 August 2009
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: XV, 195
Topics: Circuits and Systems, Data Structures, System Performance and Evaluation