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GPGPU for Problem-Solving Environment in Accelerator Physics

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Computational Science and Its Applications – ICCSA 2018 (ICCSA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10963))

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Abstract

The paper contains the survey of benefits of using graphical processors for general purpose computations as a part of problem-solving environment in the beam physics studies. The comparison of testing numerical element-to-element modelling on CPU and the long-turn symbolic simulation with the general purpose GPUs in the working prototype is made. With the help of the graphical processors from both sides - the general purpose computations and the graphical units itself - the analysis of beam behaviour under the influence of the space charge is done.

The work is supported by RFBR 16-07-01113A.

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Acknowledgments

The author would like to express gratitude to Vladimir Korkhov for valuable help. The work was sponsored by the Russian Foundation for Basic Research under the project: 16-07-01113 “Virtual supercomputer as a tool for solving complex problems” and the SPbSU equipment project: 9.40.1615.2017 “Deployment of experimental high-performance computing infrastructure to support scientific research of the Department of computer modelling and multiprocessor systems”.

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Authors and Affiliations

  1. Saint-Petersburg State University, Saint Petersburg, Russia

    Nataliia Kulabukhova

Authors
  1. Nataliia Kulabukhova
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Correspondence to Nataliia Kulabukhova .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  5. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

  6. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka shi, Fukuoka, Japan

    Bernady O. Apduhan

  9. Politecnico di Bari, Bari, Italy

    Eufemia Tarantino

  10. Myongji University, Yongin, Korea (Republic of)

    Yeonseung Ryu

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Kulabukhova, N. (2018). GPGPU for Problem-Solving Environment in Accelerator Physics. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science(), vol 10963. Springer, Cham. https://doi.org/10.1007/978-3-319-95171-3_5

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  • DOI: https://doi.org/10.1007/978-3-319-95171-3_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95170-6

  • Online ISBN: 978-3-319-95171-3

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