<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-27T20:16:44Z</responseDate><request verb="GetRecord" identifier="oai:uvadoc.uva.es:10324/58510" metadataPrefix="mods">https://uvadoc.uva.es/oai/request</request><GetRecord><record><header><identifier>oai:uvadoc.uva.es:10324/58510</identifier><datestamp>2023-02-06T20:00:38Z</datestamp><setSpec>com_10324_1165</setSpec><setSpec>com_10324_931</setSpec><setSpec>com_10324_894</setSpec><setSpec>col_10324_1335</setSpec></header><metadata><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
<mods:name>
<mods:namePart>Carratalá Sáez, Rocío</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Torres de la Sierra, Yuri</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Sierra Pallarés, José Benito</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>López Huguet, Sergio</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Llanos Ferraris, Diego Rafael</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2023-02-06T12:22:52Z</mods:dateAvailable>
</mods:extension>
<mods:extension>
<mods:dateAccessioned encoding="iso8601">2023-02-06T12:22:52Z</mods:dateAccessioned>
</mods:extension>
<mods:originInfo>
<mods:dateIssued encoding="iso8601">2023</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="citation">The Journal of Supercomputing, 2023.</mods:identifier>
<mods:identifier type="issn">0920-8542</mods:identifier>
<mods:identifier type="uri">https://uvadoc.uva.es/handle/10324/58510</mods:identifier>
<mods:identifier type="doi">10.1007/s11227-022-05017-x</mods:identifier>
<mods:identifier type="publicationtitle">The Journal of Supercomputing</mods:identifier>
<mods:identifier type="essn">1573-0484</mods:identifier>
<mods:abstract>The determination of Lagrangian Coherent Structures (LCS) is becoming very&#xd;
important in several disciplines, including cardiovascular engineering, aerodynam-&#xd;
ics, and geophysical fluid dynamics. From the computational point of view, the&#xd;
extraction of LCS consists of two main steps: The flowmap computation and the&#xd;
resolution of Finite Time Lyapunov Exponents (FTLE). In this work, we focus on&#xd;
the design, implementation, and parallelization of the FTLE resolution. We offer&#xd;
an in-depth analysis of this procedure, as well as an open source C implementation&#xd;
(UVaFTLE) parallelized using OpenMP directives to attain a fair parallel efficiency&#xd;
in shared-memory environments. We have also implemented CUDA kernels that&#xd;
allow UVaFTLE to leverage as many NVIDIA GPU devices as desired in order to&#xd;
reach the best parallel efficiency. For the sake of reproducibility and in order to con-&#xd;
tribute to open science, our code is publicly available through GitHub. Moreover, we&#xd;
also provide Docker containers to ease its usage.</mods:abstract>
<mods:language>
<mods:languageTerm>eng</mods:languageTerm>
</mods:language>
<mods:accessCondition type="useAndReproduction">info:eu-repo/semantics/openAccess</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">http://creativecommons.org/licenses/by/4.0/</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">© 2023 The Author(s)</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">Atribución 4.0 Internacional</mods:accessCondition>
<mods:titleInfo>
<mods:title>UVaFTLE: Lagrangian finite time Lyapunov exponent extraction for fluid dynamic applications</mods:title>
</mods:titleInfo>
<mods:genre>info:eu-repo/semantics/article</mods:genre>
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