Temperature-Aware Distributed Run-Time Optimization on MP-SoC Using Game Theory
Diego Puschini, Fabien Clermidy, Pascal Benoit, Gilles Sassatelli, Lionel Torres · 2008
With forecasted hundreds of processing elements (PE), future embedded systems will be able to handle multiple applications with very diverse running constraints. In order to avoid hot-spots and control the temperature of the tiles, dynamic voltage-frequency scaling (DVFS) can be applied at PE level. At system level, it implies to dynamically manage the different voltage-frequency couples of each PE in order to obtain a global optimization. In this article we present an approach based on game theory, which adjusts at run-time the frequency of each PE. It aims at reducing the tile temperature while maintaining the synchronization between the tasks of the application graph. A fully distributed scheme is assumed in order to build a scalable mechanism. Results show that the proposed run-time algorithm find solutions in few calculation cycles achieving temperature reductions of about 23%.