@inproceedings{d68626885bd04ff6866d334a791d66f2,
title = "Stochastic thermal simulation considering spatial correlated within-die process variations",
abstract = "In this work, we develop a statistical thermal simulator including the effect of spatial correlation under within- die process variations. This method utilizes the Karhunen-Loeve(KL) expansion to model the physical parameters, and apply the Polynomial Chaoses(PCs) and the stochastic Galerkin method to tackle stochastic heat transfer equations. We demonstrate the accuracy and efficiency of our simulator by comparing with the Monte Carlo simulation, and point out that the stochastic thermal analysis is essential to provide a robust estimation of temperature distribution for the thermal-aware design flow.",
author = "Huang, {Pei Yu} and Wu, {Jia Hong} and Yu-Min Lee",
year = "2009",
month = apr,
day = "20",
doi = "10.1109/ASPDAC.2009.4796437",
language = "English",
isbn = "9781424427482",
series = "Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC",
pages = "31--36",
booktitle = "Proceedings of the ASP-DAC 2009",
note = "null ; Conference date: 19-01-2009 Through 22-01-2009",
}