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Evaluation of Clustering Algorithms on GPU-Based Edge Computing Platforms

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Evaluation of Clustering Algorithms on GPU-Based Edge Computing Platforms

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Cecilia-Canales, JM.; Cano, J.; Morales-García, J.; Llanes, A.; Imbernón, B. (2020). Evaluation of Clustering Algorithms on GPU-Based Edge Computing Platforms. Sensors. 20(21):1-19. https://doi.org/10.3390/s20216335

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Título: Evaluation of Clustering Algorithms on GPU-Based Edge Computing Platforms
Autor: Cecilia-Canales, José María Cano, Juan-Carlos Morales-García, Juan Llanes, Antonio Imbernón, Baldomero
Entidad UPV: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Fecha difusión:
Resumen:
[EN] Internet of Things (IoT) is becoming a new socioeconomic revolution in which data and immediacy are the main ingredients. IoT generates large datasets on a daily basis but it is currently considered as "dark data", ...[+]
Palabras clave: Clustering algorithms , IoT applications , Intelligent systems , Edge computing , Cloud computing , GPU computing , Low-power
Derechos de uso: Reconocimiento (by)
Fuente:
Sensors. (eissn: 1424-8220 )
DOI: 10.3390/s20216335
Editorial:
MDPI AG
Versión del editor: https://doi.org/10.3390/s20216335
Código del Proyecto:
info:eu-repo/grantAgreement/f SéNeCa//20813%2FPI%2F18/
info:eu-repo/grantAgreement/AEI//RTC-2017-6389-5/ES/PLANIFICACIÓN Y GESTIÓN DE RECURSOS HÍDRICOS A PARTIR DE ANÁLISIS DE DATOS DE IoT (WATERoT)/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-096384-B-I00/ES/SOLUCIONES PARA UNA GESTION EFICIENTE DEL TRAFICO VEHICULAR BASADAS EN SISTEMAS Y SERVICIOS EN RED/
info:eu-repo/grantAgreement/AEI//RYC-2018-025580-I/
info:eu-repo/grantAgreement/AEI//RTC-2019-007159-5/ES/Desarrollo de infraestructuras IoT de altas prestaciones contra el cambio climático basadas en inteligencia artificial/
Agradecimientos:
This work has been partially supported by the Spanish Ministry of Science and Innovation, under the Ramon y Cajal Program (Grant No. RYC2018-025580-I) and under grants RTI2018-096384-B-I00, RTC-2017-6389-5 and RTC2019-007159-5 ...[+]
Tipo: Artículo

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