Thermal and energy-aware utilisation management on MPSoC architectures

IF 0.6 Q4 COMPUTER SCIENCE, THEORY & METHODS
Dulana Rupanetti, Hassan A. Salamy
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引用次数: 1

Abstract

High operating temperatures have been a major problem in embedded systems due to high throughput and compact designs required by modern applications. This paper introduces a novel strategy to subdue these high peak temperatures of MPSoC systems by incorporating task migration and task swapping, to eliminate hot spots and thermal gradients. The work further confirms that the proposed techniques help mitigate power consumption while maintaining a high throughput to satisfy the deadline requirements of the tasks in the system. A heuristic approach is presented that helps mitigate the hot spots and gradients specifically formed from the high-frequency execution of high-priority tasks. In addition, energy-aware task migration reduced the energy consumption in the system. Extensive experimental testing on actual hardware and simulation showed very plausible results to confirm the capability of the presented techniques to reduce peak temperatures along with reduced energy consumption in the system. The presented techniques performed better than many other standard and state-of-the-art published approaches in the literature. GRAPHICAL ABSTRACT
MPSoC架构上的热和能源意识利用率管理
由于现代应用需要高吞吐量和紧凑的设计,高工作温度一直是嵌入式系统的主要问题。本文介绍了一种新的策略,通过结合任务迁移和任务交换来降低MPSoC系统的高温峰值,以消除热点和热梯度。这项工作进一步证实了所提出的技术有助于降低功耗,同时保持高吞吐量,以满足系统中任务的截止日期要求。提出了一种启发式方法,有助于缓解由高优先级任务的高频执行而形成的热点和梯度。此外,能量感知任务迁移降低了系统的能耗。在实际硬件和仿真上进行的大量实验测试显示了非常可信的结果,以证实所提出的技术能够降低峰值温度并降低系统中的能耗。所提出的技术比文献中许多其他标准和最先进的出版方法表现得更好。图形抽象
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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来源期刊
CiteScore
2.30
自引率
0.00%
发文量
27
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