Performance metrics and auditing framework using application kernels for high‐performance computer systems
Identifieur interne : 000402 ( Main/Exploration ); précédent : 000401; suivant : 000403Performance metrics and auditing framework using application kernels for high‐performance computer systems
Auteurs : Thomas R. Furlani [États-Unis] ; Matthew D. Jones [États-Unis] ; Steven M. Gallo [États-Unis] ; Andrew E. Bruno [États-Unis] ; Charng-Da Lu [États-Unis] ; Amin Ghadersohi [États-Unis] ; Ryan J. Gentner [États-Unis] ; Abani Patra [États-Unis] ; Robert L. Deleon [États-Unis] ; Gregor Von Laszewski [États-Unis] ; Fugang Wang [États-Unis] ; Ann Zimmerman [États-Unis]Source :
- Concurrency and Computation: Practice and Experience [ 1532-0626 ] ; 2013-05.
Abstract
This paper describes XSEDE Metrics on Demand, a comprehensive auditing framework for use by high‐performance computing centers, which provides metrics regarding resource utilization, resource performance, and impact on scholarship and research. This role‐based framework is designed to meet the following objectives: (1) provide the user community with a tool to manage their allocations and optimize their resource utilization; (2) provide operational staff with the ability to monitor and tune resource performance; (3) provide management with a tool to monitor utilization, user base, and performance of resources; and (4) provide metrics to help measure scientific impact. Although initially focused on the XSEDE program, XSEDE Metrics on Demand can be adapted to any high‐performance computing environment. The framework includes a computationally lightweight application kernel auditing system that utilizes performance kernels to measure overall system performance. This allows continuous resource auditing to measure all aspects of system performance including filesystem performance, processor and memory performance, and network latency and bandwidth. Metrics that focus on scientific impact, such as publications, citations and external funding, will be included to help quantify the important role high‐performance computing centers play in advancing research and scholarship. Copyright © 2012 John Wiley & Sons, Ltd.
Url:
DOI: 10.1002/cpe.2871
Affiliations:
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State Street, MI, 48109, Ann Arbor</wicri:regionArea><wicri:noRegion>Ann Arbor</wicri:noRegion></affiliation></author></analytic><monogr></monogr><series><title level="j">Concurrency and Computation: Practice and Experience</title><title level="j" type="abbrev">Concurrency Computat.: Pract. Exper.</title><idno type="ISSN">1532-0626</idno><idno type="eISSN">1532-0634</idno><imprint><publisher>Blackwell Publishing Ltd</publisher><date type="published" when="2013-05">2013-05</date><biblScope unit="volume">25</biblScope><biblScope unit="issue">7</biblScope><biblScope unit="page" from="918">918</biblScope><biblScope unit="page" to="931">931</biblScope></imprint><idno type="ISSN">1532-0626</idno></series><idno type="istex">6E1F7A7046F05D032B233FE50E84C245D47B99E5</idno><idno type="DOI">10.1002/cpe.2871</idno><idno type="ArticleID">CPE2871</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1532-0626</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract">This paper describes XSEDE Metrics on Demand, a comprehensive auditing framework for use by high‐performance computing centers, which provides metrics regarding resource utilization, resource performance, and impact on scholarship and research. This role‐based framework is designed to meet the following objectives: (1) provide the user community with a tool to manage their allocations and optimize their resource utilization; (2) provide operational staff with the ability to monitor and tune resource performance; (3) provide management with a tool to monitor utilization, user base, and performance of resources; and (4) provide metrics to help measure scientific impact. Although initially focused on the XSEDE program, XSEDE Metrics on Demand can be adapted to any high‐performance computing environment. The framework includes a computationally lightweight application kernel auditing system that utilizes performance kernels to measure overall system performance. This allows continuous resource auditing to measure all aspects of system performance including filesystem performance, processor and memory performance, and network latency and bandwidth. Metrics that focus on scientific impact, such as publications, citations and external funding, will be included to help quantify the important role high‐performance computing centers play in advancing research and scholarship. Copyright © 2012 John Wiley & Sons, Ltd.</div></front></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>État de New York</li></region><settlement><li>Buffalo (New York)</li></settlement><orgName><li>Université d'État de New York à Buffalo</li></orgName></list><tree><country name="États-Unis"><region name="État de New York"><name sortKey="Furlani, Thomas R" sort="Furlani, Thomas R" uniqKey="Furlani T" first="Thomas R." last="Furlani">Thomas R. Furlani</name></region><name sortKey="Bruno, Andrew E" sort="Bruno, Andrew E" uniqKey="Bruno A" first="Andrew E." last="Bruno">Andrew E. Bruno</name><name sortKey="Deleon, Robert L" sort="Deleon, Robert L" uniqKey="Deleon R" first="Robert L." last="Deleon">Robert L. Deleon</name><name sortKey="Furlani, Thomas R" sort="Furlani, Thomas R" uniqKey="Furlani T" first="Thomas R." last="Furlani">Thomas R. Furlani</name><name sortKey="Gallo, Steven M" sort="Gallo, Steven M" uniqKey="Gallo S" first="Steven M." last="Gallo">Steven M. Gallo</name><name sortKey="Gentner, Ryan J" sort="Gentner, Ryan J" uniqKey="Gentner R" first="Ryan J." last="Gentner">Ryan J. Gentner</name><name sortKey="Ghadersohi, Amin" sort="Ghadersohi, Amin" uniqKey="Ghadersohi A" first="Amin" last="Ghadersohi">Amin Ghadersohi</name><name sortKey="Jones, Matthew D" sort="Jones, Matthew D" uniqKey="Jones M" first="Matthew D." last="Jones">Matthew D. Jones</name><name sortKey="Lu, Charng A" sort="Lu, Charng A" uniqKey="Lu C" first="Charng-Da" last="Lu">Charng-Da Lu</name><name sortKey="Patra, Abani" sort="Patra, Abani" uniqKey="Patra A" first="Abani" last="Patra">Abani Patra</name><name sortKey="Von Laszewski, Gregor" sort="Von Laszewski, Gregor" uniqKey="Von Laszewski G" first="Gregor" last="Von Laszewski">Gregor Von Laszewski</name><name sortKey="Wang, Fugang" sort="Wang, Fugang" uniqKey="Wang F" first="Fugang" last="Wang">Fugang Wang</name><name sortKey="Zimmerman, Ann" sort="Zimmerman, Ann" uniqKey="Zimmerman A" first="Ann" last="Zimmerman">Ann Zimmerman</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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