Dynamic Task Priority Scaling for Thermal Management of Multi-core Processors with Heavy Workload

Proceedings of the 25th edition on Great Lakes Symposium on VLSI Pub Date : 2015-05-20 DOI:10.1145/2742060.2742101

Ali Akbari, S. Pour-Mozafari, Hamid Noori, Farhad Mehdipour

引用次数: 2

Abstract

This paper presents a task priority scaling algorithm for dynamic thermal management of multi-core processors. The unique features of this algorithm include: 1) enabling task-level Dynamic Frequency Scaling (DFS) capability through software, 2) reducing task migration and provide load balancing using dynamic task priority scaling, 3) targeting DTM for systems with high workload. This algorithm is evaluated on a commercial quad-core processor. The experimental results indicate that the proposed approach can decrease the average and peak temperature by 9.73% and 7.1%, respectively, compared to Linux standard scheduler.

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高负荷多核处理器热管理的动态任务优先级缩放

提出了一种多核处理器动态热管理的任务优先级缩放算法。该算法的独特之处在于:1)通过软件实现任务级动态频率缩放(DFS)功能;2)使用动态任务优先级缩放减少任务迁移并提供负载平衡;3)针对高工作负载系统的DTM。该算法在商用四核处理器上进行了测试。实验结果表明，与Linux标准调度器相比，该方法可将平均温度和峰值温度分别降低9.73%和7.1%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 25th edition on Great Lakes Symposium on VLSI

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