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Acceleration of a Feature Selection Algorithm Using High Performance Computing
dc.contributor.author | Beceiro, Bieito | |
dc.contributor.author | González-Domínguez, Jorge | |
dc.contributor.author | Touriño, Juan | |
dc.date.accessioned | 2020-11-04T14:48:33Z | |
dc.date.available | 2020-11-04T14:48:33Z | |
dc.date.issued | 2020-09-01 | |
dc.identifier.citation | Beceiro, B.; González-Domínguez, J.; Touriño, J. Acceleration of a Feature Selection Algorithm Using High Performance Computing. Proceedings 2020, 54, 54. https://doi.org/10.3390/proceedings2020054054 | es_ES |
dc.identifier.issn | 2504-3900 | |
dc.identifier.uri | http://hdl.handle.net/2183/26639 | |
dc.description.abstract | [Abstract] Feature selection is a subfield of data analysis that is on reducing the dimensionality of datasets, so that subsequent analyses over them can be performed in affordable execution times while keeping the same results. Joint Mutual Information (JMI) is a highly used feature selection method that removes irrelevant and redundant characteristics. Nevertheless, it has high computational complexity. In this work, we present a multithreaded MPI parallel implementation of JMI to accelerate its execution on distributed memory systems, reaching speedups of up to 198.60 when running on 256 cores, and allowing for the analysis of very large datasets that do not fit in the main memory of a single node. | es_ES |
dc.description.sponsorship | This research was funded by the Ministry of Science and Innovation of Spain (PID2019-104184RB-I00/AEI/10.13039/501100011033), and by Xunta de Galicia and FEDER funds of the EU (Centro de Investigación de Galicia accreditation 2019-2022, ref. ED431G2019/01; Consolidation Program of Competitive Reference Groups, ED431C 2017/04) | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431G2019/01 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431C 2017/04 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation.uri | https://doi.org/10.3390/proceedings2020054054 | es_ES |
dc.rights | Atribución 4.0 Internacional | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Feature selection | es_ES |
dc.subject | Mutual information | es_ES |
dc.subject | Machine learning | es_ES |
dc.subject | High performance computing | es_ES |
dc.subject | MPI | es_ES |
dc.title | Acceleration of a Feature Selection Algorithm Using High Performance Computing | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Proceedings | es_ES |
UDC.volume | 54 | es_ES |
UDC.issue | 1 | es_ES |
UDC.startPage | 54 | es_ES |
dc.identifier.doi | 10.3390/proceedings2020054054 | |
UDC.conferenceTitle | 3rd XoveTIC Conference; A Coruña, Spain; 8–9 October 2020 | es_ES |