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Proceedings Paper

Experience with imaging algorithms on multiple core CPUs
Author(s): Richard Moore
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Paper Abstract

With the release of an eight core Xeon processor by Intel and a twelve core Opteron processor by AMD in the spring of 2010, the increase of multiple cores per chip package continues. Multiple core processors are common place in most workstations sold today and are an attractive option for increasing imaging performance. Visual attention models are very compute intensive, requiring many imaging algorithms to be run on images such as large difference of Gaussian filters, segmentation, and region finding. In this paper we present our experience in optimizing the performance of a visual attention model on standard multi-core Windows workstations.

Paper Details

Date Published: 25 January 2011
PDF: 11 pages
Proc. SPIE 7872, Parallel Processing for Imaging Applications, 78720L (25 January 2011); doi: 10.1117/12.872782
Show Author Affiliations
Richard Moore, 3M Co. (United States)

Published in SPIE Proceedings Vol. 7872:
Parallel Processing for Imaging Applications
John D. Owens; I-Jong Lin; Yu-Jin Zhang; Giordano B. Beretta, Editor(s)

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