Effective Mapping of Grammatical Evolution to CUDA Hardware Model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F11%3APU96038" target="_blank" >RIV/00216305:26230/11:PU96038 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Effective Mapping of Grammatical Evolution to CUDA Hardware Model
Original language description
Several papers have shown that symbolic regression is suitable for data analysis and prediction in finance markets. The Grammatical Evolution (GE) has been successfully applied in solvingvarious tasks including symbolic regression. However, performance of this method can limit the areaof possible applications. This paper deals with utilizing mainstream graphics processing unit (GPU)for acceleration of GE solving symbolic regression. With respect to various mentioned constrains,such as PCI-Express and main memory bandwidth bottleneck, we have designed effective mappingof the algorithm to the CUDA framework. Results indicate that for larger number of regression pointscan our algorithm run 636 or 39 times faster than GEVA library routine or a sequential Ccode, respectively. As a result, the ordinary GPU, if used properly, can offer interesting performance boostfor solution the symbolic regression by the GE.
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/GAP103%2F10%2F1517" target="_blank" >GAP103/10/1517: Natural Computing on Unconventional Platforms</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 17th Conference Student EEICT 2011 Volume 3
ISBN
978-80-214-4273-3
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
574-578
Publisher name
Brno University of Technology
Place of publication
Brno
Event location
Brno
Event date
Apr 28, 2011
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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