Live demonstration: Computing spike-based convolutions on GPUs

Author

Nageswaran, Jayram M. ; Dutt, Nikil ; Wang, Yingxue ; Delbrueck, Tobi

Author_Institution

Donald Bren Sch. of Inf. & Comput. Sci., Univ. of California, Irvine, CA, USA

fYear

2009

fDate

24-27 May 2009

Firstpage

1921

Lastpage

1921

Abstract

This demonstration shows the first implementation of a real-time spike-based convolution processing system which combines a spike based dynamic vision sensor (DVS) with parallel graphics processor unit (GPU) computation. Moving objects with different features (shape and size) are presented to the system. In the first demo, the system responses in real time to recognize and keep track of one user specified object and ignore the others. In the second one, the system concurrently extracts several features, and labels the outputs with different colors. Users will enjoy the real-time response and learn about using spike-based sensors combined with conventional procedural processing.

Keywords

computer graphic equipment; convolution; feature extraction; image sensors; neural nets; object recognition; feature extraction; live demonstration; object recognition; parallel graphics processor unit; real-time spike-based convolution processing system; spike based dynamic vision sensor; spike-based neural networks; Biological neural networks; Central Processing Unit; Computer networks; Computer vision; Concurrent computing; Delay; Embedded computing; Feature extraction; Real time systems; Voltage control;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on

Conference_Location

Taipei

Print_ISBN

978-1-4244-3827-3

Electronic_ISBN

978-1-4244-3828-0

Type

conf

DOI

10.1109/ISCAS.2009.5118158

Filename

5118158