Document Type
Article
Publication Date
9-2009
Publication Title
Cluster 2009
Abstract
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.
Recommended Citation
Apon, Amy; Warn, Seth; Emeneker, Wesley; and Cothren, Jackson, "Accelerating SIFT on Parallel Architectures" (2009). Publications. 21.
https://tigerprints.clemson.edu/computing_pubs/21