Shot boundary detection using Zernike moments in multi-GPU multi-CPU architectures

Authors:
Pablo Toharia;Oscar D. Robles;Ricardo SuáRez;Jose Luis Bosque;Luis Pastor
Affiliations:
Universidad Rey Juan Carlos, C/ Tulipan, S/N, 28933, Mostoles, Madrid, Spain;Universidad Rey Juan Carlos, C/ Tulipan, S/N, 28933, Mostoles, Madrid, Spain;Universidad Rey Juan Carlos, C/ Tulipan, S/N, 28933, Mostoles, Madrid, Spain;Universidad de Cantabria, Facultad de Ciencias, Avda. de los Castros 48. 39005, Santander, Spain;Universidad Rey Juan Carlos, C/ Tulipan, S/N, 28933, Mostoles, Madrid, Spain
Venue:
Journal of Parallel and Distributed Computing
Year:
2012

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Abstract

This paper presents an analysis of a Multi-GPU Multi-CPU environment, along with the different possible hybrid combinations. The analysis has been performed for a shot boundary detection application, based on Zernike moments, although it is general enough to be applied to many different application areas. A deep study of the performance, bottlenecks and design challenges is carried out showing the validity of this approach and achieving very high frame per second rates. In this paper, Zernike calculations are carried out on GPUs, taking advantage of a packing strategy proposed to minimize host-device communication time.