Faculty of Information Technology, BUT

Publication Details

GPU-Based Acceleration of the Genetic Algorithm

POSPÍCHAL Petr. GPU-Based Acceleration of the Genetic Algorithm. In: Počítačové architektury a diagnostika 2010. Brno: Faculty of Information Technology BUT, 2010, pp. 75-80. ISBN 978-80-214-4140-8.
Czech title
Akcelerace genetického algoritmu s využitím GPU
Type
conference paper
Language
english
Authors
Pospíchal Petr, Ing. (DCSY FIT BUT)
Keywords
Parallel Genetic Algorithm, PGA, CUDA, Island Model, Galib, Speedup, GPU
Abstract
Genetic algorithm, a robust, stochastic optimization technique, is effective in
solving many practical problems in science, engineering, and business domains. Unfortunatelly, execution usually takes a long time. In this paper, I study possibility of utilization consumer-level graphics cards for acceleration of GA's. A mapping of parallel island genetic algorithm to CUDA software model is designed and tested on GeForce 8800GTX, GTX260-SP216 and GTX285 GPU's using Rosenbrock's, Griewank's and Michalewicz's benchmark functions. Results indicates that this optimization leads to speedups up to seven thousand times compared to single CPU thread while maintaing reasonable results quality.
Published
2010
Pages
75-80
Proceedings
Počítačové architektury a diagnostika 2010
Conference
Počítačové architektury a diagnostika 2010, PAD 2010, Češkovice, CZ
ISBN
978-80-214-4140-8
Publisher
Faculty of Information Technology BUT
Place
Brno, CZ
BibTeX
@INPROCEEDINGS{FITPUB9329,
   author = "Petr Posp\'{i}chal",
   title = "GPU-Based Acceleration of the Genetic Algorithm",
   pages = "75--80",
   booktitle = "Po\v{c}\'{i}ta\v{c}ov\'{e} architektury a diagnostika 2010",
   year = 2010,
   location = "Brno, CZ",
   publisher = "Faculty of Information Technology BUT",
   ISBN = "978-80-214-4140-8",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/9329"
}
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