Permutation Based Indexing for High Dimensional Data on GPU Architectures
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10294742" target="_blank" >RIV/00216208:11320/15:10294742 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CBMI.2015.7153619" target="_blank" >http://dx.doi.org/10.1109/CBMI.2015.7153619</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CBMI.2015.7153619" target="_blank" >10.1109/CBMI.2015.7153619</a>
Alternative languages
Result language
angličtina
Original language name
Permutation Based Indexing for High Dimensional Data on GPU Architectures
Original language description
Permutation-based indexing is one of the most popular techniques for the approximate nearest-neighbor search problem in high-dimensional spaces. Due to the exponential increase of multimedia data, the time required to index this data has become a seriousconstraint of the indexing techniques. One of the possible steps towards faster index construction is utilization of massively parallel platforms such as the GPGPU architectures. In this paper, we have analyzed the computational costs of individual steps of the permutation-based index construction in a high-dimensional feature space and proposed a hybrid solution, where computational power of GPU is utilized for distance computations whilst the host CPU performs the postprocessing and sorting steps. Despite the fact that computing the distances is a naturally data-parallel task, an efficient implementation is quite challenging due to various GPU limitations and complex memory hierarchy. We have tested possible approaches to work divisi
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GP14-14292P" target="_blank" >GP14-14292P: Employing Modern Parallel Architectures in Specific Domains of Database Systems</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
13th International Workshop on Content-Based Multimedia Indexing (CBMI)
ISBN
978-1-4673-6870-4
ISSN
1949-3991
e-ISSN
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Number of pages
6
Pages from-to
1-6
Publisher name
IEEE
Place of publication
neuveden
Event location
Prague, Czech Republic
Event date
Jun 10, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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