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dc.contributor.authorCarratalá Sáez, Rocío
dc.contributor.authorTorres de la Sierra, Yuri 
dc.contributor.authorSierra Pallarés, José Benito 
dc.contributor.authorLópez Huguet, Sergio
dc.contributor.authorLlanos Ferraris, Diego Rafael 
dc.date.accessioned2023-02-06T12:22:52Z
dc.date.available2023-02-06T12:22:52Z
dc.date.issued2023
dc.identifier.citationThe Journal of Supercomputing, 2023.es
dc.identifier.issn0920-8542es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/58510
dc.descriptionProducción Científicaes
dc.description.abstractThe determination of Lagrangian Coherent Structures (LCS) is becoming very important in several disciplines, including cardiovascular engineering, aerodynam- ics, and geophysical fluid dynamics. From the computational point of view, the extraction of LCS consists of two main steps: The flowmap computation and the resolution of Finite Time Lyapunov Exponents (FTLE). In this work, we focus on the design, implementation, and parallelization of the FTLE resolution. We offer an in-depth analysis of this procedure, as well as an open source C implementation (UVaFTLE) parallelized using OpenMP directives to attain a fair parallel efficiency in shared-memory environments. We have also implemented CUDA kernels that allow UVaFTLE to leverage as many NVIDIA GPU devices as desired in order to reach the best parallel efficiency. For the sake of reproducibility and in order to con- tribute to open science, our code is publicly available through GitHub. Moreover, we also provide Docker containers to ease its usage.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherSpringeres
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.classificationFinite time Lyapunov exponentes
dc.subject.classificationLagrangian coherent structureses
dc.subject.classificationOpenMPes
dc.subject.classificationGPUes
dc.subject.classificationMultithreadinges
dc.subject.classificationMulti-GPUes
dc.titleUVaFTLE: Lagrangian finite time Lyapunov exponent extraction for fluid dynamic applicationses
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder© 2023 The Author(s)es
dc.identifier.doi10.1007/s11227-022-05017-xes
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s11227-022-05017-xes
dc.identifier.publicationtitleThe Journal of Supercomputinges
dc.peerreviewedSIes
dc.description.projectMinisterio de Economía, Industria y Competitividad, Consejo Asesor de Educación de Castilla y León y Programas del Fondo de Desarrollo (FEDER): Proyecto PCAS (TIN2017-88614-R) y Proyecto PROPHET-2 (VA226P20).es
dc.description.projectMinisterio de Ciencia e Innovación, Agencia Estatal de Investigación y “European Union NextGenerationEU/PRTR” : (MCIN/ AEI/10.13039/501100011033) - (grant TED2021-130367B-I00)es
dc.description.projectJunta de Castilla y León (project VA182P20)es
dc.description.projectRed Española de Supercomputación (RES) (projects IM-2022-2-0015 and IM-2022-3-0021)es
dc.description.projectPublicación en abierto financiada por el Consorcio de Bibliotecas Universitarias de Castilla y León (BUCLE), con cargo al Programa Operativo 2014ES16RFOP009 FEDER 2014-2020 DE CASTILLA Y LEÓN, Actuación:20007-CL - Apoyo Consorcio BUCLEes
dc.identifier.essn1573-0484es
dc.rightsAtribución 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones
dc.subject.unesco12 Matemáticases
dc.subject.unesco1203.17 Informáticaes


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