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dc.contributor.authorGarcia Gasulla, Marta
dc.contributor.authorBanchelli Gracia, Fabio
dc.contributor.authorPeiró Conde, Kilian
dc.contributor.authorRamírez Gargallo, Guillem
dc.contributor.authorHouzeaux, Guillaume
dc.contributor.authorHassan Saïdi, Ismaïl Ben
dc.contributor.authorTenaud, Christian
dc.contributor.authorSpisso, Ivan
dc.contributor.authorMantovani, Filippo
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor.otherBarclona Supercomputing Center
dc.date.accessioned2021-05-20T11:03:13Z
dc.date.available2021-05-20T11:03:13Z
dc.date.issued2020-07-16
dc.identifier.citationGarcia, M. [et al.]. A generic performance analysis technique applied to different CFD methods for HPC. "International journal of computational fluid dynamics", 16 Juliol 2020, vol. 34, núm. 7-8, p. 508-528.
dc.identifier.issn1061-8562
dc.identifier.urihttp://hdl.handle.net/2117/345955
dc.description.abstractFor complex engineering and scientific applications, Computational Fluid Dynamics (CFD) simulations require a huge amount of computational power. As such, it is of paramount importance to carefully assess the performance of CFD codes and to study them in depth for enabling optimisation and portability. In this paper, we study three complex CFD codes, OpenFOAM, Alya and CHORUS representing two numerical methods, namely the finite volume and finite-element methods, on both structured and unstructured meshes. To all codes, we apply a generic performance analysis method based on a set of metrics helping the code developer in spotting the critical points that can potentially limit the scalability of a parallel application. We show the root cause of the performance bottlenecks studying the three applications on the MareNostrum4 supercomputer. We conclude providing hints for improving the performance and the scalability of each application.
dc.description.sponsorshipThis work is partially supported by the Spanish Government through Programa Severo Ochoa (SEV-2015-0493), by the Spanish Ministry of Science and Technology (TIN2015-65316-P), by the Generalitat de Catalunya (2017-SGR-1414), and by the European POP CoE (GA n. 824080).
dc.format.extent21 p.
dc.language.isoeng
dc.publisherTaylor & Francis
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject.lcshComputational fluid dynamics
dc.subject.lcshSupercomputers
dc.subject.otherPerformance analysis
dc.subject.otherMPI
dc.subject.otherEfficiency
dc.subject.otherParallelisation
dc.subject.otherCFD
dc.subject.otherFinite element
dc.subject.otherFinite volume
dc.subject.otherMareNostrum4
dc.titleA generic performance analysis technique applied to different CFD methods for HPC
dc.typeArticle
dc.subject.lemacDinàmica de fluids
dc.subject.lemacSupercomputadors
dc.identifier.doi10.1080/10618562.2020.1778168
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.tandfonline.com/doi/full/10.1080/10618562.2020.1778168?journalCode=gcfd20
dc.rights.accessOpen Access
local.identifier.drac31721666
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/TIN2015-65316-P
dc.relation.projectidinfo:eu-repo/grantAgreement/AGAUR/2017 SGR 1414
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/824080/EU/Performance Optimisation and Productivity 2/POP2
local.citation.authorGarcia, M.; Banchelli, F.; Peiro, K.; Ramírez, G.; Houzeaux, G.; Hassan, I.; Tenaud, C.; Spisso, I.; Mantovani, F.
local.citation.publicationNameInternational journal of computational fluid dynamics
local.citation.volume34
local.citation.number7-8
local.citation.startingPage508
local.citation.endingPage528


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Attribution-NonCommercial-NoDerivs 4.0 Generic
Salvo que se indique lo contrario, los contenidos de esta obra estan sujetos a la licencia de Creative Commons : Reconocimiento-NoComercial-SinObraDerivada 4.0 Generic