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.

Základní údaje

Originální název

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

Autoři

BARRIENTOS, Ricardo (724 Španělsko), Jose GOMEZ (724 Španělsko), Christian TENLLADO (724 Španělsko), Manuel PRIETO-MATIAS (724 Španělsko) a Pavel ZEZULA (203 Česká republika, garant, domácí)

Vydání

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

Nakladatel

Springer

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Německo

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Odkazy

URL

Impakt faktor

Impact factor: 0.402 v roce 2005

Kód RIV

RIV/00216224:14330/13:00066560

Organizační jednotka

Fakulta informatiky

ISBN

978-3-642-40046-9

ISSN

DOI

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

UT WoS

000341243100024

Klíčová slova anglicky

Similarity Search; Metric Spaces; GPU; Range queries

Štítky

core_A, DISA, firank_A

Změněno: 27. 4. 2014 23:33, RNDr. Pavel Šmerk, Ph.D.

Anotace

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.

Návaznosti

GBP103/12/G084, projekt VaV

Název: Centrum pro multi-modální interpretaci dat velkého rozsahu

Investor: Grantová agentura ČR, Centrum pro multi-modální interpretaci dat velkého rozsahu

Citovat

BARRIENTOS, Ricardo, Jose GOMEZ, Christian TENLLADO, Manuel PRIETO-MATIAS a 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, s. 216-228. ISBN 978-3-642-40046-9. Dostupné z: 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 a 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, s.~216-228. ISBN~978-3-642-40046-9. Dostupné z: https://dx.doi.org/10.1007/978-3-642-40047-6\_{}24.

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