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GPU Based Parallelism for Self-Organizing Map

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Proceedings of the Third International Conference on Intelligent Human Computer Interaction (IHCI 2011), Prague, Czech Republic, August, 2011

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 179))

Abstract

Modern graphics cards take role of powerful computation hardware. This hardware becomes more popular due to purchasing costs and its availability. The advantages of Graphics Processor Unit (GPU) in parallel computation of Self-Organizing Network are described in this paper including a comparison with multi-threaded CPU. The parallelism on GPU is explained in a separated section. Mentioned section is divided into parts with respect to different forms of parallelism. The results of experiments at the end confirmed, that the utilization of GPU brings significant improvements in time of computation in case of large data sets.

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Acknowledgments

This work was supported by the Ministry of Industry and Trade of the Czech Republic, under the grant no. FR-TI1/420.

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Authors and Affiliations

  1. Department of Computer Science, FEECS VSB-Technical University of Ostrava, 17. listopadu 15, 708 00, Ostrava Poruba, Czech Republic

    Petr Gajdoš & Jan Platoš

Authors
  1. Petr Gajdoš
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  2. Jan Platoš
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Correspondence to Petr Gajdoš .

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Editors and Affiliations

  1. , Faculty of Electrical Engineering and, Technical University of Ostrava, 17. listopadu 15, Ostrava-Poruba, 708 33, Czech Republic

    Miloš Kudělka

  2. , Faculty of Mathematics and Physics, Charles University, Malostranske nam. 25, Praha, 118 00, Czech Republic

    Jaroslav Pokorný

  3. , Faculty of Electrical Engineering and, Technical University of Ostrava, 17. listopadu 15, Ostrava-Poruba, 708 33, Czech Republic

    Václav Snášel

  4. Auburn, 98071, USA

    Ajith Abraham

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Gajdoš, P., Platoš, J. (2013). GPU Based Parallelism for Self-Organizing Map. In: Kudělka, M., Pokorný, J., Snášel, V., Abraham, A. (eds) Proceedings of the Third International Conference on Intelligent Human Computer Interaction (IHCI 2011), Prague, Czech Republic, August, 2011. Advances in Intelligent Systems and Computing, vol 179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31603-6_20

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  • DOI: https://doi.org/10.1007/978-3-642-31603-6_20

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31602-9

  • Online ISBN: 978-3-642-31603-6

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