面向高性能计算的老化任务迁移意识

IF 1.6 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Journal of Low Power Electronics and Applications Pub Date : 2023-05-22 DOI:10.3390/jlpea13020036
Emmanuel Ofori-Attah, Michael Opoku Agyeman
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引用次数: 1

摘要

暗硅的挑战为未来的多核系统提出了一个设计问题。因此,已经引入了几种技术来提高可以通电的处理元素的数量。许多人使用的技术之一是任务迁移。为了提高节点的生存期,提出了一种面向高性能计算的感知老化任务迁移(AMA)方法。该方法确定应用程序映射到哪些集群,并在节点之间迁移高需求任务,以提高每个epoch的生存期。实验结果表明,该方法的性能优于现有技术的10%以上。
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AMA: An Ageing Task Migration Aware for High-Performance Computing
The dark-silicon challenge poses a design problem for future many-core systems. As a result of this, several techniques have been introduced to improve the number of processing elements that can be powered on. One of the techniques employed by many is Task Migration. In this paper, an Ageing Task Migration Aware for High-Performance Computing (AMA) is proposed to improve the lifetime of nodes. The proposed method determines which clusters applications are mapped to and migrates high-demand tasks amongst nodes to improve the lifetime at every epoch. Experimental results show that the proposed method outperforms state-of-the-art techniques by more than 10%.
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来源期刊
Journal of Low Power Electronics and Applications
Journal of Low Power Electronics and Applications Engineering-Electrical and Electronic Engineering
CiteScore
3.60
自引率
14.30%
发文量
57
审稿时长
11 weeks
期刊最新文献
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