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dc.contributor.authorMantovani, Filippo
dc.contributor.authorCalore, Enrico
dc.contributor.otherBarcelona Supercomputing Center
dc.identifier.citationMantovani, F.; Calore, E. Multi-Node Advanced Performance and Power Analysis with Paraver. A: "Parallel Computing is Everywhere (serie: Advances in Parallel Computing)". IOS Press, 2018, p. 723-732.
dc.description.abstractPerformance analysis tools allow application developers to identify and characterize the inefficiencies that cause performance degradation in their codes. Due to the increasing interest in the High Performance Computing (HPC) community towards energy-efficiency issues, it is of paramount importance to be able to correlate performance and power figures within the same profiling and analysis tools. For this reason, we present a preliminary performance and energy-efficiency study aimed at demonstrating how a single tool can be used to collect most of the relevant metrics. Moreover we show how the same analysis techniques are applicable on different architectures, analyzing the same HPC application running on two clusters, based respectively on Intel Haswell and Arm Cortex-A57 CPUs.
dc.description.sponsorshipThe research leading to these results has received funding from the European Community’s Seventh Framework Programme [FP7/2007-2013] and Horizon 2020 under the Mont-Blanc projects, grant agreements n. 288777, 610402 and 671697. E.C. was partially founded by “Contributo 5 per mille assegnato all’Universit`a degli Studi di Ferrara - dichiarazione dei redditi dell’anno 2014”.
dc.format.extent10 p.
dc.publisherIOS Press
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.lcshCluster analysis--Data processing
dc.titleMulti-Node Advanced Performance and Power Analysis with Paraver
dc.typeConference lecture
dc.subject.lemacAnàlisi de conglomerats
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/288777/EU/Mont-Blanc, European scalable and power efficient HPC platform based on low-power embedded technology/MONT-BLANC
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/610402/EU/Mont-Blanc 2, European scalable and power efficient HPC platform based onlow-power embedded technology/MONT-BLANC 2
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/671697/EU/Mont-Blanc 3, European scalable and power efficient HPC platformbased on low-power embedded technology/Mont-Blanc 3
local.citation.publicationNameParallel Computing is Everywhere (serie: Advances in Parallel Computing)

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