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dc.contributor.authorDadvand, Pooyan
dc.contributor.authorRossi, Riccardo
dc.contributor.authorGil, Marisa
dc.contributor.authorMartorell Bofill, Xavier
dc.contributor.authorCotela Dalmau, Jordi
dc.contributor.authorJuanpere, E.
dc.contributor.authorIdelsohn Barg, Sergio Rodolfo
dc.contributor.authorOñate Ibáñez de Navarra, Eugenio
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Resistència de Materials i Estructures a l'Enginyeria
dc.date.accessioned2011-06-14T15:20:59Z
dc.date.available2011-06-14T15:20:59Z
dc.date.created2011
dc.date.issued2011
dc.identifier.citationDadvand, P. [et al.]. Migration of a generic multi-physics framework to HPC environments. A: International Conference on Parallel Computational Fluid Dynamics. "23rd International Conference on Parallel Computational Fluid Dynamics 2011". Barcelona: 2011, p. 1-5.
dc.identifier.urihttp://hdl.handle.net/2117/12768
dc.description.abstractCreating a highly parallelizable code is a challenge and development for distributed memory machines (DMMs) can be very different form developing a serial code in term of algorithms and structure. For this reason, many developers in the field prefer to develop their own code from scratch. However, for an already existing framework with large development background the idea of transformation becomes attractive in order to reuse the effort done during years of development. In this presentation we explain how a relatively complex framework but with modular structure can be prepared for high performance computing with minimum modification. Kratos Multi-Physics [1] is an open source generic multi-disciplinary platform for solution of coupled problems consist of fluid, structure, thermal and electromagnetic fields. The parallelization of this framework is performed with objective of enforcing the less possible changes to its different solver modules and encapsulate the changes as much as possible in its common kernel. This objective is achieved thanks to the Kratos design and also innovative way of dealing with data transfers for a multi-disciplinary code. This work is completed by the migration of the framework from the x86 architecture to the Marenostrum Supercomputing platform. The migration has been verified by a set of benchmarks which show very good scalability, from which we present the Telescope problem in this paper.
dc.format.extent5 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Física::Física de fluids
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes numèrics
dc.subject.lcshFluid dynamics--Computer simulation
dc.subject.otherParallelization
dc.subject.otherComputational Fluid Dynamics
dc.subject.otherDomain Decomposition
dc.titleMigration of a generic multi-physics framework to HPC environments
dc.typeConference report
dc.subject.lemacDinàmica de fluids -- Simulació per ordinador
dc.contributor.groupUniversitat Politècnica de Catalunya. (MC)2 - Grup de Mecànica Computacional en Medis Continus
dc.contributor.groupUniversitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
dc.relation.publisherversionhttp://parcfd2011.bsc.es/sites/default/files/abstracts/id124-pooyan.pdf
dc.rights.accessOpen Access
local.identifier.drac5790979
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/217068/EU/High Performance and Embedded Architecture and Compilation/HIPEAC
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/246643/EU/Real Time Computational Mechanics Techniques for Multi-Fluid Problems/REALTIME
local.citation.authorDadvand, P.; Rossi, R.; Gil, Marisa; Martorell, X.; Cotela, J.; Juanpere, E.; Idelsohn, S.; Oñate, E.
local.citation.contributorInternational Conference on Parallel Computational Fluid Dynamics
local.citation.pubplaceBarcelona
local.citation.publicationName23rd International Conference on Parallel Computational Fluid Dynamics 2011
local.citation.startingPage1
local.citation.endingPage5


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