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EVOW
2010
Springer

Parallel Genetic Algorithm on the CUDA Architecture

13 years 8 months ago
Parallel Genetic Algorithm on the CUDA Architecture
Abstract. This paper deals with the mapping of the parallel islandbased genetic algorithm with unidirectional ring migrations to nVidia CUDA software model. The proposed mapping is tested using Rosenbrock's, Griewank's and Michalewicz's benchmark functions. The obtained results indicate that our approach leads to speedups up to seven thousand times higher compared to one CPU thread while maintaining a reasonable results quality. This clearly shows that GPUs have a potential for acceleration of GAs and allow to solve much complex tasks.
Petr Pospichal, Jirí Jaros, Josef Schwarz
Added 02 Sep 2010
Updated 02 Sep 2010
Type Conference
Year 2010
Where EVOW
Authors Petr Pospichal, Jirí Jaros, Josef Schwarz
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