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Accelerating SIFT on parallel architectures

Seth Warn, Wesley Emeneker, Jackson Cothren, Amy Apon
Computer Science and Computer Engineering, University of Arkansas, 504 JBHT, University of Arkansas, Fayetteville AR, 72701, USA
IEEE International Conference on Cluster Computing and Workshops, 2009. CLUSTER ’09

@conference{warn2009accelerating,

   title={Accelerating SIFT on parallel architectures},

   author={Warn, S. and Emeneker, W. and Cothren, J. and Apon, A.},

   booktitle={Cluster Computing and Workshops, 2009. CLUSTER’09. IEEE International Conference on},

   pages={1–4},

   issn={1552-5244},

   year={2009},

   organization={IEEE}

}

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SIFT is a widely-used algorithm that extracts features from images; using it to extract information from hundreds of terabytes of aerial and satellite photographs requires parallelization in order to be feasible. We explore accelerating an existing serial SIFT implementation with OpenMP parallelization and GPU execution.
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