Faculty of Information Technology, BUT

Publication Details

Efficient Hardware Accelerator for Symbolic Regression Problems

VAŠÍČEK Zdeněk and SEKANINA Lukáš. Efficient Hardware Accelerator for Symbolic Regression Problems. In: 5th Doctoral Workshop on Mathematical and Engineering Methods in Computer Science. Znojmo: Masaryk University, 2009, pp. 192-199. ISBN 978-80-87342-04-6.
Czech title
Efektivní hardwarový akcelerátor pro řešení problému symbolické regrese
Type
conference paper
Language
english
Authors
Keywords
hardware acceleration, regression problem, evolutionary design, image filter, fpga, powerpc
Abstract
In this paper, a new hardware architecture for the acceleration of symbolic regression problems using Cartesian Genetic Programming (CGP) is presented.
In order to minimize the number of expensive memory accesses, a new algorithm is proposed.
The search algorithm is implemented using PowerPC processor which is available in Xilinx FPGAs of Virtex family.
A significant speedup of evolution is obtained in comparison with a highly optimized software implementation of CGP.
Published
2009
Pages
192-199
Proceedings
5th Doctoral Workshop on Mathematical and Engineering Methods in Computer Science
Conference
MEMICS'09 -- 5th Doctoral Workshop on Mathematical and Engineering Methods in Computer Science, Znojmo, CZ
ISBN
978-80-87342-04-6
Publisher
Masaryk University
Place
Znojmo, CZ
BibTeX
@INPROCEEDINGS{FITPUB9108,
   author = "Zden\v{e}k Va\v{s}\'{i}\v{c}ek and Luk\'{a}\v{s} Sekanina",
   title = "Efficient Hardware Accelerator for Symbolic Regression Problems",
   pages = "192--199",
   booktitle = "5th Doctoral Workshop on Mathematical and Engineering Methods in Computer Science",
   year = 2009,
   location = "Znojmo, CZ",
   publisher = "Masaryk University",
   ISBN = "978-80-87342-04-6",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/9108"
}
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