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Memorias de investigación
Ponencias en congresos:
Energy consumption characterization of a Massively Parallel Processor Array (MPPA) platform running a hyperspectral SVM classifier
Año:2017
Áreas de investigación
  • Tecnología electrónica y de las comunicaciones
Datos
Descripción
In this paper, a Massively Parallel Processor Array platform is characterized in terms of energy consumption using a Support Vector Machine for hyperspectral image classification. This platform gathers 16 clusters composed of 16 cores each, i.e., 256 processors working in parallel. The objective of the work is to associate power dissipation and energy consumed by the platform with the different resources of the architecture. Experimenting with a hyperspectral SVM classifier, this study has been conducted using three strategies: i) modifying the number of processing elements, i.e., clusters and cores, ii) increasing system frequency, and iii) varying the number of active communication links during the analysis, i.e., I/Os and DMAs. As a result, a relationship between the energy consumption and the active platform resources has been exposed using two different parallelization strategies. Finally, the implementation that fully exploits the parallelization possibilities working at 500MHz has been proven to be also the most efficient one, as it reduces the energy consumption by 98% when compared to the sequential version running at 400MHz.
Internacional
Si
Nombre congreso
Conference on Design and Architectures for Signal and Image Processing (DASIP 2017)
Tipo de participación
960
Lugar del congreso
Dresden
Revisores
Si
ISBN o ISSN
978-1-5386-3534-6
DOI
10.1109/DASIP.2017.8122112
Fecha inicio congreso
27/09/2017
Fecha fin congreso
29/09/2017
Desde la página
1
Hasta la página
6
Título de las actas
Design and Architectures for Signal and Image Processing (DASIP), 2017 Conference on
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Daniel Madroñal Quintin (UPM)
  • Autor: Raquel Lazcano Lopez (UPM)
  • Autor: Himar Fabelo (ULPGC)
  • Autor: Samuel Ortega (ULPGC)
  • Autor: Ruben Salvador Perea (UPM)
  • Autor: Gustavo Marrero (ULPGC)
  • Autor: Eduardo Juarez Martinez (UPM)
  • Autor: Cesar Sanz Alvaro (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Diseño Electrónico y Microelectrónico
  • Centro o Instituto I+D+i: Centro de Investigación en Tecnologías del Software y Sistemas Multimedia para la Sostenibilidad (CITSEM)
  • Departamento: Ingeniería Telemática y Electrónica
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