Energy consumption reduction for asynchronous message-passing applications.
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| Title: | Energy consumption reduction for asynchronous message-passing applications. |
|---|---|
| Authors: | Fanfakh, Ahmed1, Charr, Jean-Claude1, Couturier, Raphaël1, Giersch, Arnaud1 |
| Source: | Journal of Supercomputing. Jun2017, Vol. 73 Issue 6, p2369-2401. 33p. |
| Subjects: | Energy consumption of computers, Message passing (Computer science), Application software, Asynchronous transfer mode, Grid computing |
| Abstract: | It is widely accepted that the asynchronous parallel methods are more suitable than the synchronous ones on a grid architecture. Indeed, they outperform the synchronous methods, because they overlap the communications of the synchronous methods with computations. However, they also usually execute more iterations than the synchronous ones and thus consume more energy. To reduce the energy consumption of the CPUs executing such methods, the Dynamic voltage and frequency scaling technique can be used. It lowers the frequency of a CPU to reduce its energy consumption, but it also decreases its computing power. Therefore, the frequency that gives the best trade-off between energy consumption and performance must be selected. This paper presents a new online frequency selecting algorithm for parallel iterative asynchronous methods running over grids. It selects a vector of frequencies that gives the best trade-off between energy consumption and performance. New energy and performance models were used in this algorithm to predict the execution time and the energy consumption of synchronous, asynchronous, or hybrid iterative applications running over grids. The proposed algorithm was evaluated on the SimGrid simulator. The experiments showed that synchronously applying the proposed algorithm to the asynchronous version of the application reduces on average its energy consumption by 22% and speeds it up by 5.72%. Finally, the proposed algorithm was also compared to a method that uses the well-known energy and delay product and the comparison results showed that it outperforms this method in terms of energy consumption and performance. [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: 123190266 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Energy consumption reduction for asynchronous message-passing applications. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Fanfakh%2C+Ahmed%22">Fanfakh, Ahmed</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Charr%2C+Jean-Claude%22">Charr, Jean-Claude</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Couturier%2C+Raphaël%22">Couturier, Raphaël</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Giersch%2C+Arnaud%22">Giersch, Arnaud</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Supercomputing%22">Journal of Supercomputing</searchLink>. Jun2017, Vol. 73 Issue 6, p2369-2401. 33p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Energy+consumption+of+computers%22">Energy consumption of computers</searchLink><br /><searchLink fieldCode="DE" term="%22Message+passing+%28Computer+science%29%22">Message passing (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Application+software%22">Application software</searchLink><br /><searchLink fieldCode="DE" term="%22Asynchronous+transfer+mode%22">Asynchronous transfer mode</searchLink><br /><searchLink fieldCode="DE" term="%22Grid+computing%22">Grid computing</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: It is widely accepted that the asynchronous parallel methods are more suitable than the synchronous ones on a grid architecture. Indeed, they outperform the synchronous methods, because they overlap the communications of the synchronous methods with computations. However, they also usually execute more iterations than the synchronous ones and thus consume more energy. To reduce the energy consumption of the CPUs executing such methods, the Dynamic voltage and frequency scaling technique can be used. It lowers the frequency of a CPU to reduce its energy consumption, but it also decreases its computing power. Therefore, the frequency that gives the best trade-off between energy consumption and performance must be selected. This paper presents a new online frequency selecting algorithm for parallel iterative asynchronous methods running over grids. It selects a vector of frequencies that gives the best trade-off between energy consumption and performance. New energy and performance models were used in this algorithm to predict the execution time and the energy consumption of synchronous, asynchronous, or hybrid iterative applications running over grids. The proposed algorithm was evaluated on the SimGrid simulator. The experiments showed that synchronously applying the proposed algorithm to the asynchronous version of the application reduces on average its energy consumption by 22% and speeds it up by 5.72%. Finally, the proposed algorithm was also compared to a method that uses the well-known energy and delay product and the comparison results showed that it outperforms this method in terms of energy consumption and performance. [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/s11227-016-1926-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 33 StartPage: 2369 Subjects: – SubjectFull: Energy consumption of computers Type: general – SubjectFull: Message passing (Computer science) Type: general – SubjectFull: Application software Type: general – SubjectFull: Asynchronous transfer mode Type: general – SubjectFull: Grid computing Type: general Titles: – TitleFull: Energy consumption reduction for asynchronous message-passing applications. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fanfakh, Ahmed – PersonEntity: Name: NameFull: Charr, Jean-Claude – PersonEntity: Name: NameFull: Couturier, Raphaël – PersonEntity: Name: NameFull: Giersch, Arnaud IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 09208542 Numbering: – Type: volume Value: 73 – Type: issue Value: 6 Titles: – TitleFull: Journal of Supercomputing Type: main |
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