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Stochastic Thermal Control of a Multicore Real-Time System

机译:多核实时系统的随机热控制

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This paper deals with thermal management of a multicore processor executing multiple stochastic real-time job streams. The main objective is to reduce the chip-wide temperature gradient to decelerate processor aging, and the subordinate goal is to decrease the hotspot temperature. A pair of active and passive cores is dedicated to each stream, which the active one services the corresponding real-time jobs. In order to reduce the chip-wide temperature gradient between cores, the active and passive cores of an individual stream are replaced at appropriate times through job migration. The thermal management of this system is a specific stochastic control problem. Regarding the inter-effects of core temperatures and the stochastic nature of the system, systematic achievement of the objective needs an appropriate method. The control theory of Markov jump linear system (MJLS) has been used to design the desired thermal controller and analytically study its stability. The efficacy of the proposed approach in terms of the thermal management objectives is investigated through simulation experiments.
机译:本文涉及执行多个随机实时作业流的多核处理器的热管理。主要目标是降低芯片范围的温度梯度以减缓处理器老化,而次要目标是降低热点温度。一对主动和被动内核专用于每个流,主动和被动内核分别为相应的实时作业提供服务。为了减小内核之间的芯片级温度梯度,可以通过作业迁移在适当的时候替换单个流的主动和被动内核。该系统的热管理是一个特定的随机控制问题。关于核心温度和系统随机性的相互影响,系统地实现目标需要一种适当的方法。马尔可夫跳跃线性系统(MJLS)的控制理论已用于设计所需的热控制器,并对其稳定性进行了分析研究。通过模拟实验研究了该方法在热管理目标方面的功效。

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