<?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>2026-04-14T04:29:45Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:10256/11980" metadataPrefix="qdc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:10256/11980</identifier><datestamp>2024-06-18T12:16:07Z</datestamp><setSpec>com_2072_452955</setSpec><setSpec>com_2072_2054</setSpec><setSpec>col_2072_453069</setSpec></header><metadata><qdc:qualifieddc xmlns:qdc="http://dspace.org/qualifieddc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://purl.org/dc/elements/1.1/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dc.xsd http://purl.org/dc/terms/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dcterms.xsd http://dspace.org/qualifieddc/ http://www.ukoln.ac.uk/metadata/dcmi/xmlschema/qualifieddc.xsd">
   <dc:title>Finding extremal sets on the GPU</dc:title>
   <dc:creator>Fort, Marta</dc:creator>
   <dc:creator>Sellarès i Chiva, Joan Antoni</dc:creator>
   <dc:creator>Valladares Cereceda, Ignacio</dc:creator>
   <dc:subject>Infografia</dc:subject>
   <dc:subject>Computer graphics</dc:subject>
   <dc:subject>Algorismes paral·lels</dc:subject>
   <dc:subject>Parallel algorithms</dc:subject>
   <dcterms:abstract>The extremal sets of a family F of sets consist of all sets of F that are maximal or minimal with respect to the partial order induced by the subset relation in F. In this paper we present efficient parallel GPU-based algorithms, designed under CUDA architecture, for finding the extremal sets of a family F of sets. The complexity analysis of the presented algorithms together with experimental results showing the efficiency and scalability of the approach is provided</dcterms:abstract>
   <dcterms:abstract>This work was partially supported by the Spanish Ministerio de Ciencia e Innovacion under grant TIN2010-20590-C02-02</dcterms:abstract>
   <dcterms:dateAccepted>2024-06-18T12:16:07Z</dcterms:dateAccepted>
   <dcterms:available>2024-06-18T12:16:07Z</dcterms:available>
   <dcterms:created>2024-06-18T12:16:07Z</dcterms:created>
   <dcterms:issued>info:eu-repo/date/embargoEnd/2026-01-01</dcterms:issued>
   <dcterms:issued>info:eu-repo/date/embargoEnd/2026-01-01</dcterms:issued>
   <dcterms:issued>2014</dcterms:issued>
   <dc:type>info:eu-repo/semantics/article</dc:type>
   <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
   <dc:identifier>http://hdl.handle.net/10256/11980</dc:identifier>
   <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jpdc.2013.07.004</dc:relation>
   <dc:relation>info:eu-repo/semantics/altIdentifier/issn/0743-7315</dc:relation>
   <dc:relation>info:eu-repo/grantAgreement/MICINN//TIN2010-20590-C02-02/ES/AVANCES EN REALIDAD VIRTUAL PARA APLICACIONES PUNTERAS-UDG/</dc:relation>
   <dc:rights>Tots els drets reservats</dc:rights>
   <dc:rights>info:eu-repo/semantics/embargoedAccess</dc:rights>
   <dc:publisher>Elsevier</dc:publisher>
   <dc:source>© Journal of Parallel and Distributed Computing, 2014, vol. 74, núm. 1, p. 1891-1899</dc:source>
   <dc:source>Articles publicats (D-IMA)</dc:source>
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