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Spark-DIY: A framework for interoperable Spark Operations with high performance Block-Based Data Models

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Arquitectura de Computadores, Comunicaciones y Sistemases
dc.contributor.authorCaino Lores, Silvina
dc.contributor.authorCarretero Pérez, Jesús
dc.contributor.authorNicolae, Bogdan
dc.contributor.authorYildiz, Orcun
dc.contributor.authorPeterka, Tom
dc.contributor.funderMinisterio de Economía, Industria y Competitividad (España)es
dc.contributor.funderMinisterio de Educación, Cultura y Deporte (España)es
dc.date.accessioned2022-03-31T09:48:55Z
dc.date.available2022-03-31T09:48:55Z
dc.date.issued2018-12-17
dc.description.sponsorshipThis work was partially funded by the Spanish Ministry of Economy, Industry and Competitiveness under the grant TIN2016-79637-P ”Towards Unification of HPC and Big Data Paradigms”; the Spanish Ministry of Education under the FPU15/00422 Training Program for Academic and Teaching Staff Grant; the Advanced Scientific Computing Research, Office of Science, U.S. Department of Energy, under Contract DE-AC02-06CH11357; and by DOE with agreement No. DE-DC000122495, program manager Laura Biven.en
dc.identifier.bibliographicCitationS. Caíno-Lores, J. Carretero, B. Nicolae, O. Yildiz and T. Peterka, "Spark-DIY: A Framework for Interoperable Spark Operations with High Performance Block-Based Data Models," 2018 IEEE/ACM 5th International Conference on Big Data Computing Applications and Technologies (BDCAT), 2018, pp. 1-10, doi: 10.1109/BDCAT.2018.00010.en
dc.identifier.doihttps://doi.org/10.1109/BDCAT.2018.00010
dc.identifier.isbn978-1-5386-5502-3
dc.identifier.publicationfirstpage1
dc.identifier.publicationlastpage10
dc.identifier.publicationtitle2018 IEEE/ACM 5th International Conference on Big Data Computing Applications and Technologies (BDCAT)en
dc.identifier.urihttps://hdl.handle.net/10016/34501
dc.identifier.uxxiCC/0000029397
dc.language.isoengen
dc.publisherIeee Computer Societyen
dc.relation.eventdate2018-12-17
dc.relation.eventplaceSUIZAen
dc.relation.eventtitle11th IEEE/ACM International Conference on Utility and Cloud Computing (UCC-Companion) / 5th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)en
dc.relation.projectIDGobierno de España. TIN2016-79637-Pen
dc.relation.projectIDGobierno de España. FPU15/00422en
dc.rights© 2018, IEEEen
dc.rights.accessRightsopen accessen
dc.subject.ecienciaInformáticaes
dc.subject.otherhpcen
dc.subject.otherbig dataen
dc.subject.othersparken
dc.subject.otherMPIen
dc.subject.otherhigh-performance analyticsen
dc.subject.otherprogramming environmentsen
dc.subject.otherbig dataen
dc.titleSpark-DIY: A framework for interoperable Spark Operations with high performance Block-Based Data Modelsen
dc.typeconference output*
dc.type.hasVersionAM*
dspace.entity.typePublication
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