Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Hyperspectral image classification using a parallel implementation of the linear SVM on a Massively Parallel Processor Array (MPPA) platform
Year:2016
Research Areas
  • Electronic technology and of the communications,
  • Electric engineers, electronic and automatic (eil)
Information
Abstract
In this paper, a study of the parallel exploitation of a Support Vector Machine (SVM) classifier with a linear kernel running on a Massively Parallel Processor Array platform is exposed. This system joins 256 cores working in parallel and grouped in 16 different clusters. The main objective of the research has been to develop an optimal implementation of the SVM classifier on a MPPA platform whilst the architectural bottlenecks of the hyperspectral image classifier are analyzed. Experimenting with medical images, the parallelization of the SVM classification has been conducted using three strategies: i) single- and multi-core processing, ii) single- and multi-cluster analysis and iii) single- and double-buffer execution. As a result, an average core processing speedup of 11.8 has been achieved when parallelizing the SVM classification process in a single cluster. On the contrary, since data communication accounts for 34.7% of the total execution time in the sequential case, the total speedup is upper-bounded to 2.9. Using a double-buffer methodology, a total speedup of 2.84 has been achieved on a single cluster. At last, the feasibility of a portable version of a linear SVM has been demonstrated.
International
Si
Congress
2016 IEEE Conference on Design and Architectures for Signal and Image Processing (DASIP)
960
Place
Rennes, France
Reviewers
Si
ISBN/ISSN
979-1-0922-7915-3
10.1109/DASIP.2016.7853812
Start Date
12/10/2016
End Date
14/10/2016
From page
154
To page
160
2016 Conference on Design and Architectures for Signal and Image Processing (DASIP)
Participants
  • Autor: Daniel Madroñal Quintin (UPM)
  • Autor: Raquel Lazcano Lopez (UPM)
  • Autor: H. Fabelo (IUMA-ULPGC)
  • Autor: S. Ortega (IUMA-ULPGC)
  • Autor: G. M. Callicó (IUMA-ULPGC)
  • Autor: Eduardo Juarez Martinez (UPM)
  • Autor: Cesar Sanz Alvaro (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Diseño Electrónico y Microelectrónico
  • Centro o Instituto I+D+i: Tecnologías del Software y Sistemas Multimedia para la Sostenibilidad (CITSEM)
  • Departamento: Ingeniería Telemática y Electrónica
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