Publication details

Multi-level Clustering on Metric Spaces Using a Multi-GPU Platform

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Authors

BARRIENTOS Ricardo GOMEZ Jose TENLLADO Christian PRIETO-MATIAS Manuel ZEZULA Pavel

Year of publication 2013
Type Article in Proceedings
Conference Euro-Par 2013 Parallel Processing - 19th International Conference
MU Faculty or unit

Faculty of Informatics

Citation
Web http://link.springer.com/chapter/10.1007%2F978-3-642-40047-6_24
Doi http://dx.doi.org/10.1007/978-3-642-40047-6_24
Field Informatics
Keywords Similarity Search; Metric Spaces; GPU; Range queries
Description The field of similarity search on metric spaces has been widely studied in the last years, mainly because it has proven suitable for a number of application domains such as multimedia retrieval and computational biology, just to name a few. To achieve efficient query execution throughput, it is essential to exploit the intrinsic parallelism in respective search algorithms. Many strategies have been proposed in the literature to parallelize these algorithms either on shared or distributed memory multiprocessor systems.
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