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Titlebook: Novel Algorithms for Fast Statistical Analysis of Scaled Circuits; Amith Singhee,Rob A. Rutenbar Book 2009 Springer Science+Business Media

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发表于 2025-3-21 19:22:24 | 显示全部楼层 |阅读模式
书目名称Novel Algorithms for Fast Statistical Analysis of Scaled Circuits
编辑Amith Singhee,Rob A. Rutenbar
视频video
概述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,
丛书名称Lecture Notes in Electrical Engineering
图书封面Titlebook: Novel Algorithms for Fast Statistical Analysis of Scaled Circuits;  Amith Singhee,Rob A. Rutenbar Book 2009 Springer Science+Business Media
描述.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..
出版日期Book 2009
关键词Monte Carlo; Scaled Circuits; Statistical Analysis; VLSI; VLSI circuits; algorithms; derivation; extreme va
版次1
doihttps://doi.org/10.1007/978-90-481-3100-6
isbn_softcover978-94-007-3687-0
isbn_ebook978-90-481-3100-6Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
copyrightSpringer Science+Business Media B.V. 2009
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发表于 2025-3-21 23:22:36 | 显示全部楼层
Quasi-Monte Carlo for Fast Statistical Simulation of Circuits,e. In the general case, some combination of complex statistics, high dimensionality, profound nonlinearity or non-normality, stringent accuracy, and expensive performance evaluation (e.g., SPICE simulation) thwart our analytical aspirations. This is where Monte Carlo methods (Glasserman, Monte Carlo
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Statistical Blockade: Estimating Rare Event Statistics,pect because of the lack of statistical confidence, the estimate being computed using only one failing example. Such a large number of simulation is utterly intractable. This example clearly illustrates the widespread problem with designing robust memories in the presence of process variations: we n
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1876-1100 blem domain of integrated circuits. The result is a set of novel solutions to problems of efficient statistical analysis of circuits in the nanometer regime..978-94-007-3687-0978-90-481-3100-6Series ISSN 1876-1100 Series E-ISSN 1876-1119
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Amith Singhee,Rob A. Rutenbar journey, is long in coming, for like Adam after the Fall Lance is bewildered by his surroundings and his vision is marred by sin. Loss, quest, and salvation are elemental to the journey of Lance and the post-modern environment in which he lives.
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gical studies. The presentation later at a lecture retains something of the spontaneity of a questioning still very much in motion; and the essay readied for publication is a consolidation and, in the fashion of Husserl’s titles, is always introductory.
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d to the ‘jeune fille en fleurs.’ Proust’s subtle poetic devices will be further explored with reference to the famous ‘hawthorn’ passage of .; which I intend to read as a rewriting of Sappho’s wedding celebration lyric, truly a celebration of “apples without snakes.”
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