DocumentCode
1845627
Title
A novel approach to statistical simulation of ICS affected by non-linear variabilities
Author
Biagetti, Giorgio ; Crippa, Paolo ; Curzi, Alessandro ; Orcioni, Simone ; Turchetti, Claudio
Author_Institution
Dipt. di Elettron., Intell. Artificiale e Telecomun., Univ. Politec. delle Marche, Ancona
fYear
2008
fDate
18-21 May 2008
Firstpage
2985
Lastpage
2988
Abstract
This paper presents a methodology for statistical simulation of non-linear integrated circuits affected by device mismatch. This simulation technique is aimed at helping designers maximize yield, since it can be orders of magnitude faster than other readily available methods, e.g. Monte Carlo. DC, AC, and transient analyses are performed by means of the stochastic modified nodal analysis, using a piecewise linearization technique with respect to the stochastic sources, around a few automatically selected points.
Keywords
Monte Carlo methods; integrated circuit modelling; statistical analysis; transient analysis; AC analyses; DC analyses; Monte Carlo; device mismatch; nonlinear integrated circuits; nonlinear variabilities; piecewise linearization technique; statistical simulation; stochastic modified nodal analysis; transient analyses; Circuit optimization; Circuit simulation; Equations; Integrated circuit modeling; Integrated circuit yield; Monte Carlo methods; Performance analysis; Random variables; Sampling methods; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2008. ISCAS 2008. IEEE International Symposium on
Conference_Location
Seattle, WA
Print_ISBN
978-1-4244-1683-7
Electronic_ISBN
978-1-4244-1684-4
Type
conf
DOI
10.1109/ISCAS.2008.4542085
Filename
4542085
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