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

Varování

Publikace nespadá pod Fakultu sportovních studií, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.

Autoři	BARRIENTOS Ricardo GOMEZ Jose TENLLADO Christian PRIETO-MATIAS Manuel ZEZULA Pavel
Rok publikování	2013
Druh	Článek ve sborníku
Konference	Euro-Par 2013 Parallel Processing - 19th International Conference
Fakulta / Pracoviště MU	Fakulta informatiky
Citace
www	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
Obor	Informatika
Klíčová slova	Similarity Search; Metric Spaces; GPU; Range queries
Popis	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.
Související projekty:	Centrum pro multi-modální interpretaci dat velkého rozsahu