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

D 2013

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

BARRIENTOS, Ricardo, Jose GOMEZ, Christian TENLLADO, Manuel PRIETO-MATIAS, Pavel ZEZULA et. al.

Basic information

Original name

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

Authors

BARRIENTOS, Ricardo (724 Spain), Jose GOMEZ (724 Spain), Christian TENLLADO (724 Spain), Manuel PRIETO-MATIAS (724 Spain) and Pavel ZEZULA (203 Czech Republic, guarantor, belonging to the institution)

Edition

Berlin, Euro-Par 2013 Parallel Processing - 19th International Conference, p. 216-228, 13 pp. 2013

Publisher

Springer

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Germany

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

URL

Impact factor

Impact factor: 0.402 in 2005

RIV identification code

RIV/00216224:14330/13:00066560

Organization unit

Faculty of Informatics

ISBN

978-3-642-40046-9

ISSN

DOI

http://dx.doi.org/10.1007/978-3-642-40047-6_24

UT WoS

000341243100024

Keywords in English

Similarity Search; Metric Spaces; GPU; Range queries

Abstract

V originále

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.

Links

GBP103/12/G084, research and development project

Name: Centrum pro multi-modální interpretaci dat velkého rozsahu

Investor: Czech Science Foundation

Citovat

BARRIENTOS, Ricardo, Jose GOMEZ, Christian TENLLADO, Manuel PRIETO-MATIAS and Pavel ZEZULA. Multi-level Clustering on Metric Spaces Using a Multi-GPU Platform. In Felix Wolf and Bernd Mohr and Dieter an Mey. Euro-Par 2013 Parallel Processing - 19th International Conference. Berlin: Springer, 2013, p. 216-228. ISBN 978-3-642-40046-9. Available from: https://dx.doi.org/10.1007/978-3-642-40047-6_24.

@inproceedings{1131896,
   author = {Barrientos, Ricardo and Gomez, Jose and Tenllado, Christian and PrietoandMatias, Manuel and Zezula, Pavel},
   address = {Berlin},
   booktitle = {Euro-Par 2013 Parallel Processing - 19th International Conference},
   doi = {http://dx.doi.org/10.1007/978-3-642-40047-6_24},
   editor = {Felix Wolf and Bernd Mohr and Dieter an Mey},
   keywords = {Similarity Search; Metric Spaces; GPU; Range queries},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Berlin},
   isbn = {978-3-642-40046-9},
   pages = {216-228},
   publisher = {Springer},
   title = {Multi-level Clustering on Metric Spaces Using a Multi-GPU Platform},
   url = {http://link.springer.com/chapter/10.1007%2F978-3-642-40047-6_24},
   year = {2013}
}

TY  - JOUR
ID  - 1131896
AU  - Barrientos, Ricardo - Gomez, Jose - Tenllado, Christian - Prieto-Matias, Manuel - Zezula, Pavel
PY  - 2013
TI  - Multi-level Clustering on Metric Spaces Using a Multi-GPU Platform
PB  - Springer
CY  - Berlin
SN  - 9783642400469
KW  - Similarity Search
KW  - Metric Spaces
KW  - GPU
KW  - Range queries
UR  - http://link.springer.com/chapter/10.1007%2F978-3-642-40047-6_24
N2  - 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.
ER  -

BARRIENTOS, Ricardo, Jose GOMEZ, Christian TENLLADO, Manuel PRIETO-MATIAS and Pavel ZEZULA. Multi-level Clustering on Metric Spaces Using a Multi-GPU Platform. In Felix Wolf and Bernd Mohr and Dieter an Mey. \textit{Euro-Par 2013 Parallel Processing - 19th International Conference}. Berlin: Springer, 2013, p.~216-228. ISBN~978-3-642-40046-9. Available from: https://dx.doi.org/10.1007/978-3-642-40047-6\_{}24.

Detailed Information on Publication Record