Yield and Variability Optimization of Integrated Circuits

M. A. Styblinski (u. a.)

ISBN 10: 0792395514 / ISBN 13: 9780792395515

Published by Springer US, 1995

About this Item

Yield and Variability Optimization of Integrated Circuits | M. A. Styblinski (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 1995 | Springer US | EAN 9780792395515 | Verantwortliche Person für die EU: Springer Heidelberg, Tiergartenstr. 17, 69121 Heidelberg, buchhandel-buch[at]springer[dot]com | Anbieter: preigu Print on Demand.

Seller Inventory # 102036624

Bibliographic Details

• Title: Yield and Variability Optimization of Integrated Circuits
• Publisher: Springer US
• Publication Date: 1995
• Language: English
• ISBN 10: 0792395514
• ISBN 13: 9780792395515
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 19D millimeters 241 millimeters width by 160 millimeters height by 19 millimeters depth
• Weight: 559 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.