Title
Incremental Latin hypercube sampling for lifetime stochastic behavioral modeling of analog circuits
Abstract
In advanced technology node, not only process variations but also aging effects have critical impacts on circuit performance. Most of existing works consider process variations and aging effects separately while building the corresponding behavior models. Because of the time-varied circuit property, parametric yield need to be reanalyzed in each aging time step. This results in expensive simulation cost for reliability analysis due to the huge number of circuit simulation runs. In this paper, an incremental Latin hypercube sampling (LHS) approach is proposed to build the stochastic behavior models for analog/mixed-signal (AMS) circuits while simultaneously considering process variations and aging effects. By reusing previous sampling information, only a few new samples are incrementally updated to build an accurate stochastic model in different time steps, which significantly reduces the number of simulations for aging analysis. Experiments on an operational amplifier and a DAC circuit achieve 242x speedup over traditional reliability analysis method with similar accuracies.
Year
DOI
Venue
2015
10.1109/ASPDAC.2015.7059065
ASP-DAC
Keywords
Field
DocType
aging effects,analog circuits,aging analysis,dac circuit,stochastic processes,parametric yield,integrated circuit reliability,analogue integrated circuits,reliability analysis,operational amplifier,operational amplifiers,lifetime stochastic behavioral modeling,latin hypercube sampling,mixed analogue-digital integrated circuits,analog/mixed-signal circuits,time-varied circuit property,process variations,hypercube networks,circuit simulation
Computer science,Circuit extraction,Behavioral modeling,Real-time computing,Electronic engineering,Sampling (statistics),Stochastic modelling,Electronic circuit,Latin hypercube sampling,Operational amplifier,Speedup
Conference
ISSN
Citations 
PageRank 
2153-6961
3
0.52
References 
Authors
16
4
Name
Order
Citations
PageRank
Yen-Lung Chen1244.59
Wei Wu2121.87
Chien-Nan Jimmy Liu39727.07
Lei He4101586.74