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dc.contributor.authorHouzeaux, Guillaume
dc.contributor.authorBadia Sala, Rosa Maria
dc.contributor.authorBorrell Pol, Ricard
dc.contributor.authorDosimont, Damien
dc.contributor.authorEjarque Artigas, Jorge
dc.contributor.authorGarcia Gasulla, Marta
dc.contributor.authorLópez Herrero, Víctor
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2022-06-30T08:56:40Z
dc.date.issued2022-09-15
dc.identifier.citationHouzeaux, G. [et al.]. Dynamic resource allocation for efficient parallel CFD simulations. "Computers and fluids", 2022, vol. 245, article 105577, p. 1-13.
dc.identifier.issn0045-7930
dc.identifier.otherhttps://arxiv.org/abs/2112.09560
dc.identifier.urihttp://hdl.handle.net/2117/369349
dc.description.abstractCFD users of supercomputers usually resort to rule-of-thumb methods to select the number of subdomains (partitions) when relying on MPI-based parallelization. One common approach is to set a minimum number of elements or cells per subdomain, under which the parallel efficiency of the code is “known” to fall below a subjective level, say 80%. The situation is even worse when the user is not aware of the “good” practices for the given code and a huge amount of resources can thus be wasted. This work presents an elastic computing methodology that adapts at runtime the resources allocated to a simulation automatically. The criterion to control the required resources is based on a runtime measure of the communication efficiency of the execution. According to some analytical estimates, the resources are then expanded or reduced to fulfill this criterion and eventually execute an efficient simulation.
dc.description.sponsorshipThis work has been supported by the Spanish Government (PID2019- 107255GB); by Generalitat de Catalunya (contract 2014-SGR-1051); by the European Commission H2020 project POP CoE (GA n. 824080); by the European Commission H2020 project CompBioMed CoE (GA n. 823712) and by the European Commission and the EuroHPC JU under contract 955558 (eFlows4HPC project).
dc.format.extent29 p.
dc.language.isoeng
dc.publisherElsevier
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject.lcshResource allocation
dc.subject.lcshComputational fluid dynamics
dc.subject.lcshSupercomputers
dc.subject.otherCFD
dc.subject.otherHigh performance computing
dc.subject.otherElastic computing
dc.subject.otherParallel efficiency
dc.subject.otherMPI
dc.subject.otherCFD
dc.titleDynamic resource allocation for efficient parallel CFD simulations
dc.typeArticle
dc.subject.lemacAssignació de recursos
dc.subject.lemacDinàmica de fluids computacional
dc.subject.lemacSupercomputadors
dc.contributor.groupUniversitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
dc.identifier.doi10.1016/j.compfluid.2022.105577
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0045793022001918?via%3Dihub
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac33980289
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107255GB-C21/ES/BSC - COMPUTACION DE ALTAS PRESTACIONES VIII/
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/824080/EU/Performance Optimisation and Productivity 2/POP2
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/823712/EU/A Centre of Excellence in Computational Biomedicine/CompBioMed2
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/955558/EU/Enabling dynamic and Intelligent workflows in the future EuroHPCecosystem/eFlows4HPC
dc.date.lift2024-06-28
local.citation.authorHouzeaux, G.; Badia, R.M.; Borrell, R.; Dosimont, D.; Ejarque, J.; García, D.; López, V.
local.citation.publicationNameComputers and fluids
local.citation.volume245
local.citation.numberarticle 105577
local.citation.startingPage1
local.citation.endingPage13
local.requestitem.embargattrue


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