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

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dc.contributor.author Caino Lores, Silvina
dc.contributor.author Carretero Pérez, Jesús
dc.contributor.author Nicolae, Bogdan
dc.contributor.author Yildiz, Orcun
dc.contributor.author Peterka, Tom
dc.date.accessioned 2022-03-31T09:48:55Z
dc.date.available 2022-03-31T09:48:55Z
dc.date.issued 2018-12-17
dc.identifier.bibliographicCitation S. 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.
dc.identifier.isbn 978-1-5386-5502-3
dc.identifier.uri http://hdl.handle.net/10016/34501
dc.description.sponsorship This 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.
dc.language.iso eng
dc.publisher Ieee Computer Society
dc.rights © 2018, IEEE
dc.subject.other hpc
dc.subject.other big data
dc.subject.other spark
dc.subject.other MPI
dc.subject.other high-performance analytics
dc.subject.other programming environments
dc.subject.other big data
dc.title Spark-DIY: A framework for interoperable Spark Operations with high performance Block-Based Data Models
dc.type conferenceObject
dc.subject.eciencia Informática
dc.identifier.doi https://doi.org/10.1109/BDCAT.2018.00010
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. TIN2016-79637-P
dc.relation.projectID Gobierno de España. FPU15/00422
dc.type.version acceptedVersion
dc.relation.eventdate 2018-12-17
dc.relation.eventplace SUIZA
dc.relation.eventtitle 11th IEEE/ACM International Conference on Utility and Cloud Computing (UCC-Companion) / 5th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)
dc.identifier.publicationfirstpage 1
dc.identifier.publicationlastpage 10
dc.identifier.publicationtitle 2018 IEEE/ACM 5th International Conference on Big Data Computing Applications and Technologies (BDCAT)
dc.identifier.uxxi CC/0000029397
dc.contributor.funder Ministerio de Economía, Industria y Competitividad (España)
dc.contributor.funder Ministerio de Educación, Cultura y Deporte (España)
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