Proactive task migration with a self-adjusting migration threshold for dynamic thermal management of multi-core processors.
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| Title: | Proactive task migration with a self-adjusting migration threshold for dynamic thermal management of multi-core processors. |
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| Authors: | Salami, Bagher1 baghersalami@gmail.com, Baharani, Mohammadreza2 m.baharani@ut.ac.ir, Noori, Hamid1 hnoori@um.ac.ir |
| Source: | Journal of Supercomputing. Jun2014, Vol. 68 Issue 3, p1068-1087. 20p. |
| Subjects: | Design failures, Macro processors, Power density, Macrophage migration inhibitory factor, Industrial management |
| Abstract: | Request for more computation power steadily forces designers to provide more powerful processors using more number of cores on a single chip. The increasing complexity of processors leads to higher integration density, power density, and temperature. For avoiding thermal emergencies, various dynamic thermal management techniques have been presented. In this paper, we present a novel online self-adjusting temperature threshold schema for dynamic thermal management to minimize both average and peak temperature with very low performance overhead. Our proposed algorithm adjusts migration threshold according to workload and hardware platforms. The experimental results indicate that our technique can significantly decrease the average and peak temperature compared to Linux standard scheduler, and two well-known thermal management techniques: PDTM and TAS. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Supercomputing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 96445075 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Proactive task migration with a self-adjusting migration threshold for dynamic thermal management of multi-core processors. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Salami%2C+Bagher%22">Salami, Bagher</searchLink><relatesTo>1</relatesTo><i> baghersalami@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Baharani%2C+Mohammadreza%22">Baharani, Mohammadreza</searchLink><relatesTo>2</relatesTo><i> m.baharani@ut.ac.ir</i><br /><searchLink fieldCode="AR" term="%22Noori%2C+Hamid%22">Noori, Hamid</searchLink><relatesTo>1</relatesTo><i> hnoori@um.ac.ir</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Supercomputing%22">Journal of Supercomputing</searchLink>. Jun2014, Vol. 68 Issue 3, p1068-1087. 20p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Design+failures%22">Design failures</searchLink><br /><searchLink fieldCode="DE" term="%22Macro+processors%22">Macro processors</searchLink><br /><searchLink fieldCode="DE" term="%22Power+density%22">Power density</searchLink><br /><searchLink fieldCode="DE" term="%22Macrophage+migration+inhibitory+factor%22">Macrophage migration inhibitory factor</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+management%22">Industrial management</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Request for more computation power steadily forces designers to provide more powerful processors using more number of cores on a single chip. The increasing complexity of processors leads to higher integration density, power density, and temperature. For avoiding thermal emergencies, various dynamic thermal management techniques have been presented. In this paper, we present a novel online self-adjusting temperature threshold schema for dynamic thermal management to minimize both average and peak temperature with very low performance overhead. Our proposed algorithm adjusts migration threshold according to workload and hardware platforms. The experimental results indicate that our technique can significantly decrease the average and peak temperature compared to Linux standard scheduler, and two well-known thermal management techniques: PDTM and TAS. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Supercomputing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11227-014-1140-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 1068 Subjects: – SubjectFull: Design failures Type: general – SubjectFull: Macro processors Type: general – SubjectFull: Power density Type: general – SubjectFull: Macrophage migration inhibitory factor Type: general – SubjectFull: Industrial management Type: general Titles: – TitleFull: Proactive task migration with a self-adjusting migration threshold for dynamic thermal management of multi-core processors. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Salami, Bagher – PersonEntity: Name: NameFull: Baharani, Mohammadreza – PersonEntity: Name: NameFull: Noori, Hamid IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2014 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 09208542 Numbering: – Type: volume Value: 68 – Type: issue Value: 3 Titles: – TitleFull: Journal of Supercomputing Type: main |
| ResultId | 1 |
