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Application of the Nvidia CUDA Technology to Solve the System of Ordinary Differential Equations

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Biomedical Engineering and Neuroscience (BCI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 720))

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Abstract

This paper presents some concepts of parallel solution of ordinary differential equations in the context of the Nvidia CUDA technology. Current research leads to the development of algorithms suitable for mass parallel architecture. There has been taken into account the potential opportunities of this architecture, but also significant hardware limitations. Considered conceptions were implemented on both: the Central Processing Unit (CPU) and Graphics Processing Unit (GPU). The results of the computation time measurements and their detailed analysis were provided in this paper.

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Authors and Affiliations

  1. Opole University of Technology, Institute of Computer Science, Opole, Poland

    Artur Pala & Jan Sadecki

Authors
  1. Artur Pala
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  2. Jan Sadecki
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Corresponding authors

Correspondence to Artur Pala or Jan Sadecki .

Editor information

Editors and Affiliations

  1. Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Opole, Poland

    Wojciech P. Hunek

  2. Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Opole, Poland

    Szczepan Paszkiel

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Pala, A., Sadecki, J. (2018). Application of the Nvidia CUDA Technology to Solve the System of Ordinary Differential Equations. In: Hunek, W., Paszkiel, S. (eds) Biomedical Engineering and Neuroscience. BCI 2018. Advances in Intelligent Systems and Computing, vol 720. Springer, Cham. https://doi.org/10.1007/978-3-319-75025-5_19

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  • DOI: https://doi.org/10.1007/978-3-319-75025-5_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75024-8

  • Online ISBN: 978-3-319-75025-5

  • eBook Packages: EngineeringEngineering (R0)

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