Publication: Exposing data locality in HPC-based systems by using the HDFS backend
dc.affiliation.dpto | UC3M. Departamento de Informática | es |
dc.affiliation.grupoinv | UC3M. Grupo de Investigación: Arquitectura de Computadores, Comunicaciones y Sistemas | es |
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.contributor.funder | Comunidad de Madrid | es |
dc.contributor.funder | European Commission | en |
dc.date.accessioned | 2022-03-14T12:32:08Z | |
dc.date.available | 2022-03-14T12:32:08Z | |
dc.date.issued | 2020-12-16 | |
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”. | en |
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 | en |
dc.identifier.doi | https://doi.org/10.1109/HiPC50609.2020.00038 | |
dc.identifier.isbn | 978-1-6654-2292-5 | |
dc.identifier.publicationfirstpage | 243 | |
dc.identifier.publicationlastpage | 250 | |
dc.identifier.publicationtitle | 2020 IEEE 27th International Conference on High Performance Computing, Data, and Analytics (HiPC) | en |
dc.identifier.uri | https://hdl.handle.net/10016/34354 | |
dc.identifier.uxxi | CC/0000032916 | |
dc.language.iso | eng | en |
dc.publisher | IEEE | en |
dc.relation.eventdate | 2020-12-16 | es |
dc.relation.eventplace | INDIA | es |
dc.relation.eventtitle | IEEE 27th International Conference on High Performance Computing, Data, and Analytics (HiPC 2020) | en |
dc.relation.projectID | Comunidad de Madrid. S2018/TCS4423 | es |
dc.relation.projectID | Gobierno de España. PID2019-107858GB-I00 | es |
dc.rights | © 2020, IEEE | es |
dc.rights.accessRights | open access | en |
dc.subject.eciencia | Informática | es |
dc.subject.other | HPC | en |
dc.subject.other | Big data | en |
dc.subject.other | HDFS | en |
dc.subject.other | MPI-lO | en |
dc.subject.other | MapReduce | en |
dc.subject.other | Data locality | en |
dc.title | Exposing data locality in HPC-based systems by using the HDFS backend | en |
dc.type | conference output | * |
dc.type.hasVersion | AM | * |
dspace.entity.type | Publication |
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