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dc.contributor.authorLlort Sánchez, Germán
dc.contributor.authorCasas Guix, Marc
dc.contributor.authorServat, Harald
dc.contributor.authorHuck, Kevin A.
dc.contributor.authorGiménez Lucas, Judit
dc.contributor.authorLabarta Mancho, Jesús José
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2014-11-04T15:07:32Z
dc.date.created2011
dc.date.issued2011
dc.identifier.citationLlort, G. [et al.]. Trace spectral analysis toward dynamic levels of detail. A: IEEE International Conference on Parallel and Distributed Systems. "ICPADS 2011: 2011 17th IEEE International Conference on Parallel and Distributed Systems: 7-9 December, 2011: Tainan, Taiwan". Tainan: Institute of Electrical and Electronics Engineers (IEEE), 2011, p. 332-339.
dc.identifier.isbn978-1-4577-1875-5
dc.identifier.urihttp://hdl.handle.net/2117/24545
dc.description.abstractThe emergence of Petascale systems has raised new challenges to performance analysis tools. Understanding every single detail of an execution is important to bridge the gap between the theoretical peak and the actual performance achieved. Tracing tools are the best option when it comes to providing detailed information about the application behavior, but not without liabilities. The amount of information that a single execution can generate grows so fast that it easily becomes unmanageable. An effective analysis in such scenarios necessitates the intelligent selection of information. In this paper we present an on-line performance tool based on spectral analysis of signals that automatically identifies the different computing phases of the application as it runs, selects a few representative periods and decides the granularity of the information gathered for these regions. As a result, the execution is completely characterized at different levels of detail, reducing the amount of data collected while maximizing the amount of useful information presented for the analysis.
dc.format.extent8 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures paral·leles
dc.subjectÀrees temàtiques de la UPC::Informàtica::Enginyeria del software
dc.subject.lcshParallel programming (Computer science)
dc.subject.lcshSoftware measurement
dc.subject.otherPerformance evaluation
dc.subject.otherSpectral analysis
dc.titleTrace spectral analysis toward dynamic levels of detail
dc.typeConference report
dc.subject.lemacProgramació en paral·lel (Informàtica)
dc.subject.lemacProgramari -- Mesurament
dc.contributor.groupUniversitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
dc.identifier.doi10.1109/ICPADS.2011.142
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6121295
dc.rights.accessRestricted access - publisher's policy
drac.iddocument15040824
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/277463/EU/HOlistic Performance System Analysis-EU/HOPSA-EU
dc.date.lift10000-01-01
upcommons.citation.authorLlort, G.; Casas, M.; Servat, H.; Huck, K.; Gimenez, J.; Labarta, J.
upcommons.citation.contributorIEEE International Conference on Parallel and Distributed Systems
upcommons.citation.pubplaceTainan
upcommons.citation.publishedtrue
upcommons.citation.publicationNameICPADS 2011: 2011 17th IEEE International Conference on Parallel and Distributed Systems: 7-9 December, 2011: Tainan, Taiwan
upcommons.citation.startingPage332
upcommons.citation.endingPage339


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Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain