Show simple item record

dc.contributor.author	Rivadeneira López-Bravo, José
dc.contributor.author	García Carballeira, Félix
dc.contributor.author	Carretero Pérez, Jesús
dc.contributor.author	García Blas, Francisco Javier
dc.date.accessioned	2022-03-14T12:32:08Z
dc.date.available	2022-03-14T12:32:08Z
dc.date.issued	2020-12-16
dc.identifier.bibliographicCitation	J. Rivadeneira, F. Garcia-Carballeira, J. Carretero and J. Garcia-Blas, "Exposing data locality in HPC-based systems by using the HDFS backend," 2020 IEEE 27th International Conference on High Performance Computing, Data, and Analytics (HiPC), 2020, pp. 243-250, doi: 10.1109/HiPC50609.2020.00038
dc.identifier.isbn	978-1-6654-2292-5
dc.identifier.uri	http://hdl.handle.net/10016/34354
dc.description.sponsorship	This work was partially supported by the project “CABAHLA-CM: Convergencia Big data-Hpc: de los sensores a las Aplicaciones” S2018/TCS4423 from Madrid Regional Government and the European Union’s Horizon 2020 research, New Data Intensive Computing Methods for High-End and Edge Computing Platforms (DECIDE). Ref. PID2019-107858GB-I00 and innovation program under grant agreement No 801091, project “ÀSPIDE: Exascale programming models for extreme data processing”.
dc.language.iso	eng
dc.publisher	IEEE
dc.rights	© 2020, IEEE
dc.subject.other	HPC
dc.subject.other	Big data
dc.subject.other	HDFS
dc.subject.other	MPI-lO
dc.subject.other	MapReduce
dc.subject.other	Data locality
dc.title	Exposing data locality in HPC-based systems by using the HDFS backend
dc.type	conferenceObject
dc.subject.eciencia	Informática
dc.identifier.doi	https://doi.org/10.1109/HiPC50609.2020.00038
dc.rights.accessRights	openAccess
dc.relation.projectID	Comunidad de Madrid. S2018/TCS4423
dc.relation.projectID	Gobierno de España. PID2019-107858GB-I00
dc.type.version	acceptedVersion
dc.relation.eventdate	2020-12-16
dc.relation.eventplace	INDIA
dc.relation.eventtitle	IEEE 27th International Conference on High Performance Computing, Data, and Analytics (HiPC 2020)
dc.identifier.publicationfirstpage	243
dc.identifier.publicationlastpage	250
dc.identifier.publicationtitle	2020 IEEE 27th International Conference on High Performance Computing, Data, and Analytics (HiPC)
dc.identifier.uxxi	CC/0000032916
dc.contributor.funder	Comunidad de Madrid
dc.contributor.funder	European Commission
dc.affiliation.dpto	UC3M. Departamento de Informática
dc.affiliation.grupoinv	UC3M. Grupo de Investigación: Arquitectura de Computadores, Comunicaciones y Sistemas

Files in this item

Name: exposing_HIPC_202 ...

Size: 8.314Mb

Format: PDF

This item appears in the following Collection(s)

• OpenAIRE: Open Access Infrastructure for Research in Europe [1406]
  Documentos resultantes de proyectos de investigación financiados por la Unión Europea: Séptimo Programa Marco, H2020, etc.
• DI - ATC - Artículos en Congresos Internacionales [10]
  

Show simple item record