Sinossi
Traditionally, Computer Aided Design (CAD) tools have been used to create the nominal design of an integrated circuit (IC), such that the circuit nominal response meets the desired performance specifications. In reality, however, due to the disturbances ofthe IC manufacturing process, the actual performancesof the mass produced chips are different than those for the nominal design. Even if the manufacturing process were tightly controlled, so that there were little variations across the chips manufactured, the environmentalchanges (e. g. those oftemperature, supply voltages, etc. ) would alsomakethe circuit performances vary during the circuit life span. Process-related performance variations may lead to low manufacturing yield, and unacceptable product quality. For these reasons, statistical circuit design techniques are required to design the circuit parameters, taking the statistical process variations into account. This book deals with some theoretical and practical aspects of IC statistical design, and emphasizes how they differ from those for discrete circuits. It de scribes a spectrum of different statistical design problems, such as parametric yield optimization, generalized on-target design, variability minimization, per formance tunning, and worst-case design. The main emphasis of the presen tation is placed on the principles and practical solutions for performance vari ability minimization. It is hoped that the book may serve as an introductory reference material for various groups of IC designers, and the methodologies described will help them enhance the circuit quality and manufacturability. The book containsseven chapters.
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Contenuti
List of Figures. Preface. 1. Introduction. 2. Overview of IC Statistical Modeling. 3. Design of Experiments. 4. Parametric Yield Maximization. 5. Variability Minimization and Tuning. 6. Worst-Case Measure Reduction. 7. Multi-Objective Circuit Optimization. A: Commonly Used Orthogonal Arrays. B: SPICE3 Input Decks. References. Index.
Product Description
Book by Jian Cheng Zhang Styblinski MA
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Traditionally, Computer Aided Design (CAD) tools have been used to create the nominal design of an integrated circuit (IC), such that the circuit nominal response meets the desired performance specifications. In reality, however, due to the disturbances oft. Codice articolo 5971578
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Condizione: New. Deals with the primary and theoretical and practical aspects of IC statistical design and covers the important issues of IC statistical design and the relevant mathematical framework. This book is intended as introductory reference material for various groups of IC designers. Num Pages: 234 pages, biography. BIC Classification: TJFC; TJFD. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 15. Weight in Grams: 542. . 1995. Hardback. . . . . Codice articolo V9780792395515
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Buch. Condizione: Neu. Yield and Variability Optimization of Integrated Circuits | M. A. Styblinski (u. a.) | Buch | xvii | Englisch | 1995 | Springer US | EAN 9780792395515 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Codice articolo 102036624
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Springer US, Springer US Feb 1995, 1995
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Traditionally, Computer Aided Design (CAD) tools have been used to create the nominal design of an integrated circuit (IC), such that the circuit nominal response meets the desired performance specifications. In reality, however, due to the disturbances ofthe IC manufacturing process, the actual performancesof the mass produced chips are different than those for the nominal design. Even if the manufacturing process were tightly controlled, so that there were little variations across the chips manufactured, the environmentalchanges (e. g. those oftemperature, supply voltages, etc. ) would alsomakethe circuit performances vary during the circuit life span. Process-related performance variations may lead to low manufacturing yield, and unacceptable product quality. For these reasons, statistical circuit design techniques are required to design the circuit parameters, taking the statistical process variations into account. This book deals with some theoretical and practical aspects of IC statistical design, and emphasizes how they differ from those for discrete circuits. It de scribes a spectrum of different statistical design problems, such as parametric yield optimization, generalized on-target design, variability minimization, per formance tunning, and worst-case design. The main emphasis of the presen tation is placed on the principles and practical solutions for performance vari ability minimization. It is hoped that the book may serve as an introductory reference material for various groups of IC designers, and the methodologies described will help them enhance the circuit quality and manufacturability. The book containsseven chapters.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 260 pp. Englisch. Codice articolo 9780792395515
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