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
Link To Document :
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