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Title: | Self-organizing migration algorithm on GPU with CUDA |
Author: | Pavlech, Michal |
Document type: | Conference paper (English) |
Source document: | Soft Computing Models in Industrial and Environmental Applications. 2013, vol. 188, p. 173-182 |
ISSN: | 2194-5357 (Sherpa/RoMEO, JCR) |
ISBN: | 978-3-642-32921-0 |
DOI: | https://doi.org/10.1007/978-3-642-32922-7_18 |
Abstract: | A modification of Self-organizing migration algorithm for general-purpose computing on graphics processing units is proposed in this paper. The algorithm is implemented in C++ with its core parts in c-CUDA. Its implementation details and performance are evaluated and compared to previous, pure C++ version of algorithm. 6 commonly used artificial test functions are used to test the performance. The test results clearly show significant speed gains without a compromise in convergence quality. |
Full text: | https://link.springer.com/chapter/10.1007/978-3-642-32922-7_18 |
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