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 Mi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Journal of Low Power Electronics and Applications |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9268/13/2/36 |
| _version_ | 1797594027584913408 |
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| author | Emmanuel Ofori-Attah Michael Opoku Agyeman |
| author_facet | Emmanuel Ofori-Attah Michael Opoku Agyeman |
| author_sort | Emmanuel Ofori-Attah |
| collection | DOAJ |
| description | 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%. |
| first_indexed | 2024-03-11T02:17:47Z |
| format | Article |
| id | doaj.art-d99c47bf8752445096d991f55ba9d282 |
| institution | Directory Open Access Journal |
| issn | 2079-9268 |
| language | English |
| last_indexed | 2024-03-11T02:17:47Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Low Power Electronics and Applications |
| spelling | doaj.art-d99c47bf8752445096d991f55ba9d2822023-11-18T11:05:09ZengMDPI AGJournal of Low Power Electronics and Applications2079-92682023-05-011323610.3390/jlpea13020036AMA: An Ageing Task Migration Aware for High-Performance ComputingEmmanuel Ofori-Attah0Michael Opoku Agyeman1Faculty of Arts, Science and Technology, University of Northampton, Northampton NN1 5PH, UKFaculty of Arts, Science and Technology, University of Northampton, Northampton NN1 5PH, UKThe 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%.https://www.mdpi.com/2079-9268/13/2/36dark siliconpower managementrun-time mappingmany-core systemsdynamic voltage frequency scaling (DVFS)task migration |
| spellingShingle | Emmanuel Ofori-Attah Michael Opoku Agyeman AMA: An Ageing Task Migration Aware for High-Performance Computing Journal of Low Power Electronics and Applications dark silicon power management run-time mapping many-core systems dynamic voltage frequency scaling (DVFS) task migration |
| title | AMA: An Ageing Task Migration Aware for High-Performance Computing |
| title_full | AMA: An Ageing Task Migration Aware for High-Performance Computing |
| title_fullStr | AMA: An Ageing Task Migration Aware for High-Performance Computing |
| title_full_unstemmed | AMA: An Ageing Task Migration Aware for High-Performance Computing |
| title_short | AMA: An Ageing Task Migration Aware for High-Performance Computing |
| title_sort | ama an ageing task migration aware for high performance computing |
| topic | dark silicon power management run-time mapping many-core systems dynamic voltage frequency scaling (DVFS) task migration |
| url | https://www.mdpi.com/2079-9268/13/2/36 |
| work_keys_str_mv | AT emmanueloforiattah amaanageingtaskmigrationawareforhighperformancecomputing AT michaelopokuagyeman amaanageingtaskmigrationawareforhighperformancecomputing |