Stochastic thermal simulation considering spatial correlated within-die process variations

Pei Yu Huang*, Jia Hong Wu, Yu-Min Lee

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings of the ASP-DAC 2009
Subtitle of host publicationAsia and South Pacific Design Automation Conference 2009
Pages31-36
Number of pages6
DOIs
StatePublished - 20 Apr 2009
EventAsia and South Pacific Design Automation Conference 2009, ASP-DAC 2009 - Yokohama, Japan
Duration: 19 Jan 200922 Jan 2009

Publication series

NameProceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC

Conference

ConferenceAsia and South Pacific Design Automation Conference 2009, ASP-DAC 2009
CountryJapan
CityYokohama
Period19/01/0922/01/09

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  • Cite this

    Huang, P. Y., Wu, J. H., & Lee, Y-M. (2009). Stochastic thermal simulation considering spatial correlated within-die process variations. In Proceedings of the ASP-DAC 2009: Asia and South Pacific Design Automation Conference 2009 (pp. 31-36). [4796437] (Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC). https://doi.org/10.1109/ASPDAC.2009.4796437