66. ADDRESSING TEMPERATURE VARIABILITY IN HETEROGENEOUS PROCESSORS WITH ACCELERATORS

Department: Computer Science & Engineering
Faculty Advisor(s): Tajana Simunic-Rosing

Primary Student
Name: Yen-Kuan Wu
Email: yew002@ucsd.edu
Phone: 858-834-9892
Grad Year: 2015

Abstract
This work addresses thermal management in heterogeneous MPSoCs where the power states of the general purpose cores can be controlled by the operating system (OS) while OS is not able to control power states of the dedicated hardware accelerators (DHAs). We propose a scalable and cooperative distributed thermal management technique which works based on the cooperation of local controllers deployed in some of the cores. Through low overhead message passing, these controllers communicate in order to exchange temperature and performance related information which is used to find the best thermally safe set of frequency settings for the cores. Experimental results show that for our technique can successfully reduce the deadline miss rate by 47.16% in average compared to localized thermal management techniques while successfully satisfying temperature constraints.

Related Links:

  1. http://ieng6.ucsd.edu/~yew002/Variability-YKW.pdf

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