DocumentCode :
549776
Title :
Performance study of spike visual processing on a Supercomputer: AER-based spike convolution processing on a 320-core cluster
Author :
Montero-Gonzalez, R. ; Perez-Peña, F. ; Morgado-Estevez, A. ; Paz, R. ; Linares-Barranco, A. ; Rodriguez, M.A. ; Jimenez, G.
Author_Institution :
Appl. Robotic Res. Lab., Univ. of Cadiz, Cadiz, Spain
fYear :
2011
fDate :
27-30 June 2011
Firstpage :
167
Lastpage :
173
Abstract :
Human brain is composed by millions of parallel neurons that process the visual information in a continuous way, spike by spike, from the information received through the retina. In this processing there are no frames in the video like it occurs in digital video. One frame every 40 ms implies information loss in between two frames. Address-Event-Representation (AER) is mechanism for multiplexing in time the stream of spikes generated by a set of neurons implemented on a chip, FPGA or microprocessor. These AER visual processing systems have been simulated in software. In this paper we present a performance study of the CRS supercomputer of the University of Cadiz (UCA) for AER-based convolution processing.
Keywords :
computer vision; field programmable gate arrays; multiprocessing systems; parallel machines; video signal processing; 320-core cluster; AER based spike convolution processing; AER visual processing systems; CRS supercomputer; FPGA; address event representation; microprocessor; parallel neurons; retina; spike visual processing; Convolution; Kernel; MATLAB; Neurons; Portable computers; Visualization; AER; cluster; convolution; core; supercomputer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Performance Evaluation of Computer & Telecommunication Systems (SPECTS), 2011 International Symposium on
Conference_Location :
The Hague
Print_ISBN :
978-1-4577-0139-9
Electronic_ISBN :
978-1-61782-309-1
Type :
conf
Filename :
5984862
Link To Document :
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