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In this paper we propose an adaptive technique to reduce power consumption of Multiprocessor Systems-on-Chip. The method, based on Game Theory, optimizes the frequencies of local processors while fulfilling applicative real-time constraints. Contrary to other approaches, our solution is compatible with reconfigurable Systems-on-Chip. The obtained power consumption gains on a telecommunication test-case...
In this paper we present an adaptive technique to locally adjust the frequency of processing elements on MP-SoC. The proposed method, based on game theory, optimizes the system while fulfilling dynamic constraints. A telecom test-case has been used to demonstrate the effectiveness of our technique. For the evaluated scenario, the proposed technique has obtained up to 20% of latency gain and 38% of...
Multiprocessor system-on-chip composed of several processing elements will be integrated in embedded systems handling multiple applications with diverse constraints. In order to improve the system performance and temperature profile, dynamic voltage frequency scaling can be applied at processor level. In this article we study an existing approach based on Game Theory, which adjusts at run-time the...
We consider multiprocessor system-on-chip (MP-SoC) integrating several processing elements (PE). These architectures require distributed and scalable control techniques for run-time optimization of applicative parameters. Our approach is to use the game theory as an optimization model to solve the trade-off issues at run-time. We applied it to the distributed dynamic voltage frequency scaling (DVFS)...
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...
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