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dc.contributor.authorServat, Harald
dc.contributor.authorLlort, German
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.identifier.citationServat, H. [et al.]. Framework for a productive performance optimization. "Parallel computing", Agost 2013, vol. 39, núm. 8, p. 336-353.
dc.description.abstractModern supercomputers deliver large computational power, but it is difficult for an application to exploit such power. One factor that limits the application performance is the single node performance. While many performance tools use the microprocessor performance counters to provide insights on serial node performance issues, the complex semantics of these counters pose an obstacle to an inexperienced developer. We present a framework that allows easy identification and qualification of serial node performance bottlenecks in parallel applications. The output of the framework is precise and it is capable of correlating performance inefficiencies with small regions of code within the application. The framework not only points to regions of code but also simplifies the semantics of the performance counters into metrics that refer to processor functional units. With such information the developer can focus on the identified code and improve it by knowing which processor execution unit is degrading the performance. To demonstrate the usefulness of the framework we apply it to three already optimized applications using realistic inputs and, according to the results, modify their source code. By doing modifications that require little effort, we successfully increase the applications’ performance from 10% to 30% and thus shorten the time required to reach the solution and/or allow facing increased problem sizes.
dc.format.extent18 p.
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.subjectÀrees temàtiques de la UPC::Informàtica::Programació
dc.subject.lcshParallel programming (Computer science)
dc.subject.otherApplication tuning
dc.subject.otherPerformance analysis
dc.subject.otherPerformance models
dc.subject.otherPerformance tools
dc.titleFramework for a productive performance optimization
dc.subject.lemacProgramació en paral·lel (Informàtica)
dc.contributor.groupUniversitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/283493/EU/PRACE - Second Implementation Phase Project/PRACE-2IP
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/287759/EU/High Performance and Embedded Architecture and Compilation/HIPEAC
local.citation.authorServat, H.; Llort, G.; Huck, K.; Gimenez, J.; Labarta, J.
local.citation.publicationNameParallel computing

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