Temperature Regulation in Multicore Processors Using Adjustable-Gain Integral Controllers

Temperature Regulation in Multicore Processors Using Adjustable-Gain Integral Controllers

Karthik Rao, William Song, Sudhakar Yalamanchili, and Yorai Wardi. “Temperature Regulation in Multicore Processors Using Adjustable-Gain Integral Controllers.” IEEE Multi-Conference on Systems and Control (MSC 2015). September 2015.

Abstract

This paper considers the problem of temperature regulation in multicore processors by dynamic voltage-frequency
scaling. We propose a feedback law that is based on an integral controller with adjustable gain, designed for fast tracking convergence in the face of model uncertainties, time-varying plants, and tight computing-timing constraints. Moreover, unlike prior works we consider a nonlinear, time-varying plant model that trades off precision for simple and efficient on-line computations. Cycle-level, full system simulator implementation and evaluation illustrates fast and accurate tracking of given temperature reference values, and compares
favorably with fixed-gain controllers.

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Citation

@inproceedings{rao-msc2015,
author={Karthik Rao and William Song and Sudhakar Yalamanchili and Yorai Wardi},
booktitle={IEEE Multi-Conference on Systems and Control (MSC 2015)},
title={Temperature Regulation in Multicore Processors Using Adjustable-Gain Integral Controllers},
year={2015},
month={September},
}