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dc.contributor | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
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dc.contributor | Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica |
dc.contributor | Universitat Politècnica de Catalunya. GRUP ISI - Grup d'Instrumentació, Sensors i Interfícies |
dc.contributor | Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions |
dc.contributor.author | Baig, Shuja-ur-Rehman |
dc.contributor.author | Amaral, Marcelo |
dc.contributor.author | Polo Cantero, José |
dc.contributor.author | Carrera Pérez, David |
dc.date | 2018 |
dc.identifier.citation | Baig, S., Amaral, M., Polo, J., Carrera, D. Performance characterization of spark workloads on shared NUMA Systems. A: International Conference on Big Data Computing Service and Applications. "2018 IEEE Fourth International Conference on Big Data Computing Service and Applications (BigDataService 2018): Bamberg, Germany: 26-29 March 2018". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 41-48. |
dc.identifier.citation | 9781538651209 |
dc.identifier.citation | 10.1109/BigDataService.2018.00015 |
dc.identifier.uri | http://hdl.handle.net/2117/123195 |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.relation | https://ieeexplore.ieee.org/document/8405690 |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/639595 |
dc.relation | info:eu-repo/grantAgreement/ES/1PE/TIN2015-65316-P |
dc.relation | info:eu-repo/grantAgreement/AGAUR/PRI2010-2013/2014 SGR 1051 |
dc.rights | info:eu-repo/semantics/openAccess |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors::Trànsit de dades |
dc.subject | Big data |
dc.subject | Benchmark |
dc.subject | Characterization |
dc.subject | Memory |
dc.subject | Modeling |
dc.subject | NUMA |
dc.subject | Performance |
dc.subject | Spark |
dc.subject | Big data |
dc.subject | Characterization |
dc.subject | Data storage equipment |
dc.subject | Electric sparks |
dc.subject | Memory architecture |
dc.subject | Models |
dc.subject | Random access storage |
dc.subject | Big data technologies |
dc.subject | Computing paradigm |
dc.subject | Improve performance |
dc.subject | Non-uniform memory architecture |
dc.subject | NUMA |
dc.subject | Performance |
dc.subject | Performance characterization |
dc.subject | Performance improvements |
dc.subject | Benchmarking |
dc.subject | Dades massives |
dc.title | Performance characterization of spark workloads on shared NUMA Systems |
dc.type | info:eu-repo/semantics/publishedVersion |
dc.type | info:eu-repo/semantics/conferenceObject |
dc.description.abstract | |
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