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  • The paper presents the use of GPGPU via CUDA and MATLAB with GPU NVIDIA Tesla in a computationally demanding transient heat transfer problem with phase changes, which is often the case solved in various engineering applications. The comparison of computing performance between parallel GPU and state-of-the-art CPU numerical models was performed and results indicate that GPGPU is a very efficient approach for solving computational problems and allows for a significant speed-up of computations.
  • The paper presents the use of GPGPU via CUDA and MATLAB with GPU NVIDIA Tesla in a computationally demanding transient heat transfer problem with phase changes, which is often the case solved in various engineering applications. The comparison of computing performance between parallel GPU and state-of-the-art CPU numerical models was performed and results indicate that GPGPU is a very efficient approach for solving computational problems and allows for a significant speed-up of computations. (en)
Title
  • Transient heat transfer problem with phase changes solved by means of GPGPU with CUDA and MATLAB
  • Transient heat transfer problem with phase changes solved by means of GPGPU with CUDA and MATLAB (en)
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  • Transient heat transfer problem with phase changes solved by means of GPGPU with CUDA and MATLAB
  • Transient heat transfer problem with phase changes solved by means of GPGPU with CUDA and MATLAB (en)
skos:notation
  • RIV/00216305:26210/13:PU104159!RIV14-GA0-26210___
http://linked.open...avai/riv/aktivita
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  • P(ED0002/01/01), P(GAP107/11/1566), S
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  • 111603
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  • RIV/00216305:26210/13:PU104159
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  • GPGPU, parallel computing, GPU, MATLAB, CUDA, transient heat transfer (en)
http://linked.open.../riv/klicoveSlovo
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  • [3AB60A4834BB]
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  • Brno University of Technology
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  • Brno, Česká republika
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  • Proceedings of 19th International Conference on Soft Computing MENDEL 2013
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  • Klimeš, Lubomír
  • Štětina, Josef
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number of pages
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  • Vysoké učení technické v Brně
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  • 978-80-214-4755-4
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  • 26210
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