System-wide trade-off modeling of performance, power, and resilience on petascale systems.
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| Title: | System-wide trade-off modeling of performance, power, and resilience on petascale systems. |
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| Authors: | Yu, Li1 lyu17@hawk.iit.edu, Zhou, Zhou1 zzhou1@hawk.iit.edu, Fan, Yuping1 yfan22@hawk.iit.edu, Papka, Michael E.1 papka@anl.gov, Lan, Zhiling1 lan@iit.edu |
| Source: | Journal of Supercomputing. Jul2018, Vol. 74 Issue 7, p3168-3192. 25p. |
| Subjects: | High performance computing, Workload of computers, Run time systems (Computer science), Supercomputers, Petri nets, Computer input-output equipment |
| Abstract: | While performance remains a major objective in the field of high-performance computing (HPC), future systems will have to deliver desired performance under both reliability and energy constraints. Although a number of resilience methods and power management techniques have been presented to address the reliability and energy concerns, the trade-offs among performance, power, and resilience are not well understood, especially in HPC systems with unprecedented scale and complexity. In this work, we present a co-modeling mechanism named TOPPER (system-wide Trade-Off modeling for Performance, PowEr, and Resilience). TOPPER is build with colored Petri nets which allow us to capture the dynamic, complicated interactions and dependencies among different factors such as workload characteristics, hardware reliability, runtime system operation, on a petascale machine. Using system traces collected from a production supercomputer, we conducted a series of experiments to analyze various resilience methods, power capping techniques, and job characteristics in terms of system-wide performance and energy consumption. Our results provide interesting insights regarding performance-power-resilience trade-offs on HPC systems. [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 |
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| Header | DbId: egs DbLabel: Engineering Source An: 130553719 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: System-wide trade-off modeling of performance, power, and resilience on petascale systems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yu%2C+Li%22">Yu, Li</searchLink><relatesTo>1</relatesTo><i> lyu17@hawk.iit.edu</i><br /><searchLink fieldCode="AR" term="%22Zhou%2C+Zhou%22">Zhou, Zhou</searchLink><relatesTo>1</relatesTo><i> zzhou1@hawk.iit.edu</i><br /><searchLink fieldCode="AR" term="%22Fan%2C+Yuping%22">Fan, Yuping</searchLink><relatesTo>1</relatesTo><i> yfan22@hawk.iit.edu</i><br /><searchLink fieldCode="AR" term="%22Papka%2C+Michael+E%2E%22">Papka, Michael E.</searchLink><relatesTo>1</relatesTo><i> papka@anl.gov</i><br /><searchLink fieldCode="AR" term="%22Lan%2C+Zhiling%22">Lan, Zhiling</searchLink><relatesTo>1</relatesTo><i> lan@iit.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Supercomputing%22">Journal of Supercomputing</searchLink>. Jul2018, Vol. 74 Issue 7, p3168-3192. 25p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22High+performance+computing%22">High performance computing</searchLink><br /><searchLink fieldCode="DE" term="%22Workload+of+computers%22">Workload of computers</searchLink><br /><searchLink fieldCode="DE" term="%22Run+time+systems+%28Computer+science%29%22">Run time systems (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Supercomputers%22">Supercomputers</searchLink><br /><searchLink fieldCode="DE" term="%22Petri+nets%22">Petri nets</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+input-output+equipment%22">Computer input-output equipment</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: While performance remains a major objective in the field of high-performance computing (HPC), future systems will have to deliver desired performance under both reliability and energy constraints. Although a number of resilience methods and power management techniques have been presented to address the reliability and energy concerns, the trade-offs among performance, power, and resilience are not well understood, especially in HPC systems with unprecedented scale and complexity. In this work, we present a co-modeling mechanism named TOPPER (system-wide Trade-Off modeling for Performance, PowEr, and Resilience). TOPPER is build with colored Petri nets which allow us to capture the dynamic, complicated interactions and dependencies among different factors such as workload characteristics, hardware reliability, runtime system operation, on a petascale machine. Using system traces collected from a production supercomputer, we conducted a series of experiments to analyze various resilience methods, power capping techniques, and job characteristics in terms of system-wide performance and energy consumption. Our results provide interesting insights regarding performance-power-resilience trade-offs on HPC systems. [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/s11227-018-2368-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 3168 Subjects: – SubjectFull: High performance computing Type: general – SubjectFull: Workload of computers Type: general – SubjectFull: Run time systems (Computer science) Type: general – SubjectFull: Supercomputers Type: general – SubjectFull: Petri nets Type: general – SubjectFull: Computer input-output equipment Type: general Titles: – TitleFull: System-wide trade-off modeling of performance, power, and resilience on petascale systems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yu, Li – PersonEntity: Name: NameFull: Zhou, Zhou – PersonEntity: Name: NameFull: Fan, Yuping – PersonEntity: Name: NameFull: Papka, Michael E. – PersonEntity: Name: NameFull: Lan, Zhiling IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 09208542 Numbering: – Type: volume Value: 74 – Type: issue Value: 7 Titles: – TitleFull: Journal of Supercomputing Type: main |
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