DocumentCode
913817
Title
A Methodology for Worst-Case Analysis of Integrated Circuits
Author
Nassif, Sani R. ; Strojwas, Andrzej J. ; Director, Stephen W.
Author_Institution
Department of Electrical and Computer Engineering, Research Center for Computer-Aided Design, Carnegie-Mellon University, Pittsburgh, PA, USA
Volume
5
Issue
1
fYear
1986
fDate
1/1/1986 12:00:00 AM
Firstpage
104
Lastpage
113
Abstract
Worst-case analysis is one of the most often used techniques for verifying that the sensitivity of integrated circuit (IC) performances to changes in manufacturing conditions is minimized. However, worst-case analysis is often carried out in terms of a correlated set of parameters, which results in a design that is unnecessarily pessimistic. This paper presents a new approach to the worst-case analysis of integrated circuits that results in more realistic estimates of variations in device and circuit performances. In particular, worst-case analysis is performed in terms of a set of statistically independent process disturbances. A software package for worst-case analysis is described and illustrated by a number of examples. The results of the proposed worst-case analysis method are compared to Monte Carlo simulations.
Keywords
Circuit analysis; Circuit simulation; Delay lines; Fluctuations; Integrated circuit manufacture; Manufacturing processes; Performance analysis; Performance evaluation; Power dissipation; Software packages;
fLanguage
English
Journal_Title
Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0278-0070
Type
jour
DOI
10.1109/TCAD.1986.1270181
Filename
1270181
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