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  • 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. 2013 Springer-Verlag.
  • 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. 2013 Springer-Verlag. (en)
Title
  • GPU based parallelism for self-organizing map
  • GPU based parallelism for self-organizing map (en)
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  • GPU based parallelism for self-organizing map
  • GPU based parallelism for self-organizing map (en)
skos:notation
  • RIV/61989100:27240/11:86085016!RIV13-MPO-27240___
http://linked.open...avai/predkladatel
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  • P(FR-TI1/420)
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http://linked.open...aciTvurceVysledku
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  • 201458
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/11:86085016
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  • Self-organizing network; Purchasing costs; Parallel Computation; Multithreaded; Large datasets; Graphics processor units; Graphics card (en)
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  • [4E3AFD491705]
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  • Praha
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  • Berlin
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  • Advances in Intelligent Systems and Computing. Volume 179
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  • Platoš, Jan
  • Gajdoš, Petr
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 2194-5357
number of pages
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  • 10.1007/978-3-642-31603-6_20
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
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  • 978-3-642-31602-9
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  • 27240
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