Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
Towards a scalable ESPINA for neuroscience data analysis
Año:2011
Áreas de investigación
  • Sistema informático,
  • Informática aplicada
Datos
Descripción
ESPINA is an image segmentation tool designed to analyse microscopy images in order to identify neuronal structures and to produce 3D models of these structures. This tool allows to display three-dimensional volumes using auto-stereoscopic monitors. It was initially designed for workstations, but when data volume management or its processing complexity makes unfeasible the implementation of the new tools on these computers, it is necessary to resort to computing servers that delimit response times or by means of scalable solutions and algorithmic optimizations. This paper analyses the migration of this tool from the original implementation to a scalable solution and describes the experience achieved during the development of the workstation version. The proposed alternative is a distributed version of the tool that delegate heavy-computational processes to a cluster, improving the performance of the system in a master/slave architecture.
Internacional
Si
Nombre congreso
ASME 2011 World Conference on Innovative Virtual Reality, WINVR/2011
Tipo de participación
960
Lugar del congreso
Milán, Italia
Revisores
Si
ISBN o ISSN
978-0-7918-4432-8
DOI
10.1115/WINVR2011-5553
Fecha inicio congreso
27/06/2011
Fecha fin congreso
29/06/2011
Desde la página
357
Hasta la página
366
Título de las actas
Proc. of ASME 2011 World Conference on Innovative Virtual Reality, WINVR/2011 / Virtual reality for leading edge and emerging applications
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Juan Morales Del Olmo (UPM)
  • Autor: Jorge Gerardo Peña Pastor (UPM)
  • Autor: Jaime Fernández Martín (UPM)
  • Autor: Angel Rodriguez Mtnez.de Bartolome (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Arquitectura y Tecnología de Sistemas Informáticos
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