Northampton Electronic Collection of Theses and Research

AMA: An Ageing Task Migration Aware for High Performance Computing

Ofori-Attah, E. and Opoku Agyeman, M. (2023) AMA: An Ageing Task Migration Aware for High Performance Computing. Journal of Low Power Electronics and Applications. 13(2) 2079-9268.

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Ofori_Attah_and_Agyeman_2023_AMA_An_Ageing_Task_Migration_Aware_for_High_Performance_Computing (1MB)

Item Type:	Article
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%.
Uncontrolled Keywords:	Dark-Silicon, Power Management, Run-time Mapping, Dark Core
Creators:	Ofori-Attah, Emmanuel and Opoku Agyeman, Michael
Date:	22 May 2023
Date Type:	Publication
Journal or Publication Title:	Journal of Low Power Electronics and Applications
Volume:	13
Number:	2
Number of Pages:	13
Language:	English
DOI:	https://doi.org/10.3390/jlpea13020036
ISSN:	2079-9268
Status:	Published / Disseminated
Refereed:	Yes
Related URLs:	https://pure.northampton.ac.uk/en/public...
URI:	http://nectar.northampton.ac.uk/id/eprint/19559

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