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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/jpdc/AmarisCCGT23>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Alfredo_Goldman>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Daniel_Cordeiro>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Denis_Trystram>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Marcos_Amaris>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Raphael_Y._de_Camargo>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1016%2Fj.jpdc.2022.09.002>
foaf:homepage <https://doi.org/10.1016/j.jpdc.2022.09.002>
dc:identifier DBLP journals/jpdc/AmarisCCGT23 (xsd:string)
dc:identifier DOI doi.org%2F10.1016%2Fj.jpdc.2022.09.002 (xsd:string)
dcterms:issued 2023 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/jpdc>
rdfs:label Evaluating execution time predictions on GPU kernels using an analytical model and machine learning techniques. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Alfredo_Goldman>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Daniel_Cordeiro>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Denis_Trystram>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Marcos_Amaris>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Raphael_Y._de_Camargo>
swrc:month January (xsd:string)
swrc:pages 66-78 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/jpdc/AmarisCCGT23/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/jpdc/AmarisCCGT23>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/jpdc/jpdc171.html#AmarisCCGT23>
rdfs:seeAlso <https://doi.org/10.1016/j.jpdc.2022.09.002>
dc:title Evaluating execution time predictions on GPU kernels using an analytical model and machine learning techniques. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 171 (xsd:string)