Publication Details

Effective Mapping of Grammatical Evolution to CUDA Hardware Model

POSPÍCHAL Petr and SCHWARZ Josef. Effective Mapping of Grammatical Evolution to CUDA Hardware Model. In: Proceedings of the 17th Conference Student EEICT 2011 Volume 3. Brno: Brno University of Technology, 2011, pp. 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. (DCSY FIT BUT)
Schwarz Josef, doc. Ing., CSc. (DCSY FIT BUT)
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 solving
various tasks including symbolic regression. However, performance of this method can limit the area
of 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 mapping
of the algorithm to the CUDA framework. Results indicate that for larger number of regression points
can 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 boost
for solution the symbolic regression by the GE.
Published
2011
Pages
574-578
Proceedings
Proceedings of the 17th Conference Student EEICT 2011 Volume 3
Conference
Student EEICT 2011, Brno, CZ
ISBN
978-80-214-4273-3
Publisher
Brno University of Technology
Place
Brno, CZ
BibTeX 
@INPROCEEDINGS{FITPUB9595,
   author = "Petr Posp\'{i}chal and Josef Schwarz",
   title = "Effective Mapping of Grammatical Evolution to CUDA Hardware Model",
   pages = "574--578",
   booktitle = "Proceedings of the 17th Conference Student EEICT 2011 Volume 3",
   year = 2011,
   location = "Brno, CZ",
   publisher = "Brno University of Technology",
   ISBN = "978-80-214-4273-3",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/9595"
}
Back to top