Exposing data locality in HPC-based systems by using the HDFS backend

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Exposing data locality in HPC-based systems by using the HDFS backend

Author(s): Rivadeneira López-Bravo, José; García Carballeira, Félix; Carretero Pérez, Jesús; García Blas, Francisco Javier
Publisher: IEEE
Issued date: 2020-12-16
Citation: 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
ISBN: 978-1-6654-2292-5
DOI: https://doi.org/10.1109/HiPC50609.2020.00038
xmlui.dri2xhtml.METS-1.0.item-contributor-funder: Comunidad de Madrid
European Commission
Sponsor: 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”.
Project: Comunidad de Madrid. S2018/TCS4423
Gobierno de España. PID2019-107858GB-I00
Keywords: HPC , Big data , HDFS , MPI-lO , MapReduce , Data locality
URI: http://hdl.handle.net/10016/34354
Rights: © 2020, IEEE

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