TY - GEN
T1 - Stochastic thermal simulation considering spatial correlated within-die process variations
AU - Huang, Pei Yu
AU - Wu, Jia Hong
AU - Lee, Yu-Min
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=78650760724&partnerID=8YFLogxK
U2 - 10.1109/ASPDAC.2009.4796437
DO - 10.1109/ASPDAC.2009.4796437
M3 - Conference contribution
AN - SCOPUS:78650760724
SN - 9781424427482
T3 - Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC
SP - 31
EP - 36
BT - Proceedings of the ASP-DAC 2009
PB - IEEE
T2 - Asia and South Pacific Design Automation Conference 2009, ASP-DAC 2009
Y2 - 19 January 2009 through 22 January 2009
ER -