Publication Details

Effective Mapping of Grammatical Evolution to CUDA Hardware Model

POSPÍCHAL, P.; SCHWARZ, J. Effective Mapping of Grammatical Evolution to CUDA Hardware Model. Proceedings of the 17th Conference Student EEICT 2011 Volume 3. Brno: Brno University of Technology, 2011. p. 574-578. ISBN: 978-80-214-4273-3.
Czech title
Efektivní mapování gramatické evoluce na CUDA hardwarový model
Type
conference paper
Language
English
Authors
Pospíchal Petr, Ing.
Schwarz Josef, doc. Ing., CSc. (CM-SFE)
Keywords

GPU, Graphics Processing Units, Grammatical Evolution, CUDA, Symbolic Regression,Speedup, C

Abstract

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 C code, respectively. As a result, the ordinary GPU, if used properly, can offer interesting performance boostfor solution the symbolic regression by the GE.

Published
2011
Pages
574–578
Proceedings
Proceedings of the 17th Conference Student EEICT 2011 Volume 3
ISBN
978-80-214-4273-3
Publisher
Brno University of Technology
Place
Brno
BibTeX 
@inproceedings{BUT76335,
  author="Petr {Pospíchal} and Josef {Schwarz}",
  title="Effective Mapping of Grammatical Evolution to CUDA Hardware Model",
  booktitle="Proceedings of the 17th Conference Student EEICT 2011 Volume 3",
  year="2011",
  pages="574--578",
  publisher="Brno University of Technology",
  address="Brno",
  isbn="978-80-214-4273-3",
  url="https://www.fit.vut.cz/research/publication/9595/"
}
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