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ICCD
2006
IEEE

Statistical Analysis of Power Grid Networks Considering Lognormal Leakage Current Variations with Spatial Correlation

9 years 10 months ago
Statistical Analysis of Power Grid Networks Considering Lognormal Leakage Current Variations with Spatial Correlation
— As the technology scales into 90nm and below, process-induced variations become more pronounced. In this paper, we propose an efficient stochastic method for analyzing the voltage drop variations of on-chip power grid networks, considering log-normal leakage current variations with spatial correlation. The new analysis is based on the Hermite polynomial chaos (PC) representation of random processes. Different from the existing Hermite PC based method for power grid analysis, which models all the random variations as Gaussian processes without considering spatial correlation. The new method focuses on the impacts of stochastic sub-threshold leakage currents, which are modeled as log-normal distribution random variables, on the power grid voltage variations. To consider the spatial correlation, we apply orthogonal decomposition to map the correlated random variables into independent variables. Our experiment results show that the new method is more accurate than the Gaussian-only He...
Ning Mi, Jeffrey Fan, Sheldon X.-D. Tan
Added 16 Mar 2010
Updated 16 Mar 2010
Type Conference
Year 2006
Where ICCD
Authors Ning Mi, Jeffrey Fan, Sheldon X.-D. Tan
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