AMA: An Ageing Task Migration Aware for High Performance Computing

Emmanuel Ofori-Attah; Michael Opoku Agyeman

doi:10.3390/jlpea13020036

AMA: An Ageing Task Migration Aware for High Performance Computing

Emmanuel Ofori-Attah, Michael Opoku Agyeman

Technology

Research output: Contribution to Journal › Article › peer-review

Abstract

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%.

Original language	English
Article number	36
Number of pages	13
Journal	Journal of Low Power Electronics and Applications
Volume	13
Issue number	2
DOIs	https://doi.org/10.3390/jlpea13020036
Publication status	Published - 22 May 2023

Keywords

Dark-Silicon
Power Management
Run-time Mapping
Dark Core

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AMA: An Ageing Task Migration Aware for High-Performance Computing
Ofori-Attah, E. (Creator) & Opoku Agyeman, M. (Creator), MDPI, 16 May 2023
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AMA: An Ageing Task Migration Aware for High Performance Computing

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AMA: An Ageing Task Migration Aware for High-Performance Computing

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