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首页> 外文期刊>Journal of Low Power Electronics >A Thermal-Aware Scheduling Algorithm for Core Migration in Multicore Processors
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A Thermal-Aware Scheduling Algorithm for Core Migration in Multicore Processors

机译：一种用于多核处理器中内核迁移的热感知调度算法

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摘要

Multicore processors traditionally achieve increased throughput as compared to their single core counterparts by trading off area and speed performance. The reduced gate lengths that accompany process technology scaling increase the leakage power dissipation and, consequently, lead to higher power densities and thermal hotspots. Reduction of power densities and thermal hotspots is of utmost importance for proper long-term operation of the processor. In this paper, we propose a scheduling algorithm to migrate the jobs running on one processor core to other cores when the temperature in the former reaches a pre-defined threshold value. The proposed algorithm takes into account the temperature of each core identified as a prospective target for migration as well as the proximity of the prospective core to the core which is selected for job migration. The proposed algorithm is also capable of identifying the possible thermal coupling between neighboring cores. Significant temperature reduction can be achieved through the proposed scheduling and job migration by trading off some speed performance: A 6℃ temperature reduction was observed with a 2% delay penalty for the scheduling approach employed in this work.
机译：与单核处理器相比，多核处理器通常通过权衡面积和提高速度来实现更高的吞吐量。随着工艺技术的发展，减小的栅极长度会增加泄漏功耗，并因此导致更高的功率密度和热点。降低功率密度和散热热点对于处理器的正常长期运行至关重要。在本文中，我们提出了一种调度算法，当前一个处理器的温度达到预定的阈值时，它将在一个处理器内核上运行的作业迁移到其他内核。所提出的算法考虑了被识别为迁移预期目标的每个核心的温度，以及预期核心与为工作迁移选择的核心的接近程度。所提出的算法还能够识别相邻芯之间的可能的热耦合。可以通过提议的调度和工作迁移通过权衡一些速度性能来实现显着的温度降低：这项工作中采用的调度方法观察到温度降低了6℃，延迟损失为2％。

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