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Multi-GPU Island-Based Genetic Algorithm Solving the Knapsack Problem

JAROŠ Jiří. Multi-GPU Island-Based Genetic Algorithm Solving the Knapsack Problem. In: 2012 IEEE World Congress on Computational Intelligence. CA: Institute of Electrical and Electronics Engineers, 2012, pp. 217-224. ISBN 978-1-4673-1508-1.
Czech title
Multi-GPU implementace ostrovního modelu genetického algoritmu pro problém knapsack
Type
conference paper
Language
english
Authors
Keywords
GPU; CUDA; MPI; GA; island model; knapsack
Abstract
This paper introduces a novel implementation of the genetic algorithm exploiting a multi-GPU cluster. The proposed implementation employs an island-based genetic algorithm where every GPU evolves a single island. The individuals are treated by CUDA warps enabling to solve large knapsack instances and eliminate undesirable thread divergence. The OpenMPI interface is used to exchange genetic material among different islands and to collect statistical data. The implementation characteristics are investigated on a cluster composed of 14 GPUs and 4 six-core Intel Xeon processors.
Published
2012
Pages
217-224
Proceedings
2012 IEEE World Congress on Computational Intelligence
Conference
IEEE World Congress on Computational Intelligence, Brisbane, AU
ISBN
978-1-4673-1508-1
Publisher
Institute of Electrical and Electronics Engineers
Place
CA, US
DOI
BibTeX
@INPROCEEDINGS{FITPUB9860,
   author = "Ji\v{r}\'{i} Jaro\v{s}",
   title = "Multi-GPU Island-Based Genetic Algorithm Solving the Knapsack Problem",
   pages = "217--224",
   booktitle = "2012 IEEE World Congress on Computational Intelligence",
   year = 2012,
   location = "CA, US",
   publisher = "Institute of Electrical and Electronics Engineers",
   ISBN = "978-1-4673-1508-1",
   doi = "10.1109/CEC.2012.6256131",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/9860"
}
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