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Multi-Node Advanced Performance and Power Analysis with Paraver
| dc.contributor.author | Mantovani, Filippo |
| dc.contributor.author | Calore, Enrico |
| dc.contributor.other | Barcelona Supercomputing Center |
| dc.date.accessioned | 2018-03-06T09:01:16Z |
| dc.date.available | 2018-03-06T09:01:16Z |
| dc.date.issued | 2018 |
| dc.identifier.citation | Mantovani, 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.identifier.isbn | 0927-5452 |
| dc.identifier.uri | http://hdl.handle.net/2117/114837 |
| dc.description.abstract | Performance 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.sponsorship | The 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.extent | 10 p. |
| dc.language.iso | eng |
| dc.publisher | IOS Press |
| dc.subject | Àrees temàtiques de la UPC::Informàtica |
| dc.subject.lcsh | Cluster analysis--Data processing |
| dc.subject.other | Performance |
| dc.subject.other | Power |
| dc.subject.other | Energy |
| dc.subject.other | Analysis |
| dc.subject.other | Paraver |
| dc.subject.other | Cluster |
| dc.title | Multi-Node Advanced Performance and Power Analysis with Paraver |
| dc.type | Conference lecture |
| dc.subject.lemac | Anàlisi de conglomerats |
| dc.identifier.doi | 10.3233/978-1-61499-843-3-723 |
| dc.description.peerreviewed | Peer Reviewed |
| dc.relation.publisherversion | http://ebooks.iospress.nl/volumearticle/48672 |
| dc.rights.access | Open Access |
| dc.description.version | Postprint (author's final draft) |
| dc.relation.projectid | info: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.projectid | info:eu-repo/grantAgreement/EC/FP7/610402/EU/Mont-Blanc 2, European scalable and power efficient HPC platform based on low-power embedded technology/MONT-BLANC 2 |
| dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/671697/EU/Mont-Blanc 3, European scalable and power efficient HPC platform based on low-power embedded technology/Mont-Blanc 3 |
| local.citation.publicationName | Parallel Computing is Everywhere (serie: Advances in Parallel Computing) |
| local.citation.volume | 32 |
| local.citation.startingPage | 723 |
| local.citation.endingPage | 732 |
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