Design for Manufacturability and Statistical Design A Constructive Approach /

Design for Manufacturability and Statistical Design: A Constructive Approach provides a thorough treatment of the causes of variability, methods for statistical data characterization, and techniques for modeling, analysis, and optimization of integrated circuits to improve yield. The objective of th...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Orshansky, Michael (Συγγραφέας), Nassif, Sani R. (Συγγραφέας), Boning, Duane (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 2008.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Orshansky, Michael.  |e author. 
245 1 0 |a Design for Manufacturability and Statistical Design  |h [electronic resource] :  |b A Constructive Approach /  |c by Michael Orshansky, Sani R. Nassif, Duane Boning. 
264 1 |a Boston, MA :  |b Springer US,  |c 2008. 
300 |a XIV, 316 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Sources of Variability -- Front End Variability -- Back End Variability -- Environmental Variability -- Variability Characterization and Analysis -- Test Structures For Variability -- Statistical Foundations Of Data Analysis And Modeling -- Design Techniques for Systematic Manufacturability Problems -- Lithography Enhancement Techniques -- Ensuring Interconnect Planarity -- Statistical Circuit Design -- Statistical Circuit Analysis -- Statistical Static Timing Analysis -- Leakage Variability And Joint Parametric Yield -- Parametric Yield Optimization -- Conclusions. 
520 |a Design for Manufacturability and Statistical Design: A Constructive Approach provides a thorough treatment of the causes of variability, methods for statistical data characterization, and techniques for modeling, analysis, and optimization of integrated circuits to improve yield. The objective of the constructive approach developed in this book is to formulate a consistent set of methods and principles necessary for rigorous statistical design and design for manufacturability from device physics to large-scale circuit optimization. The segments of the book are devoted, respectively, to understanding the causes of variability; design of test structures for variability characterization; statistically rigorous data analysis; techniques of design for manufacturability in lithography and in chemical mechanical polishing; statistical simulation, analysis, and optimization techniques for improving parametric yield. Design for Manufacturability and Statistical Design: A Constructive Approach presents an overview of the methods that need to be mastered for state-of-the-art design for manufacturability and statistical design methodologies. It is an important reference for practitioners and students in the field of computer-aided design of integrated circuits. 
650 0 |a Engineering. 
650 0 |a Computer-aided engineering. 
650 0 |a Industrial engineering. 
650 0 |a Production engineering. 
650 0 |a Electrical engineering. 
650 0 |a Electronic circuits. 
650 1 4 |a Engineering. 
650 2 4 |a Circuits and Systems. 
650 2 4 |a Computer-Aided Engineering (CAD, CAE) and Design. 
650 2 4 |a Industrial and Production Engineering. 
650 2 4 |a Electrical Engineering. 
700 1 |a Nassif, Sani R.  |e author. 
700 1 |a Boning, Duane.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9780387309286 
856 4 0 |u http://dx.doi.org/10.1007/978-0-387-69011-7  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)