GPGPU for problem-solving environment in accelerator physics

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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.

Original languageEnglish
Title of host publicationComputational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings
EditorsBeniamino Murgante, Bernady O. Apduhan, Ana Maria Rocha, David Taniar, Eufemia Tarantino, Yeonseung Ryu, Osvaldo Gervasi, Sanjay Misra, Elena Stankova, Carmelo M. Torre
PublisherSpringer
Pages51-60
Number of pages10
ISBN (Print)9783319951706
DOIs
StatePublished - 1 Jul 2018
Event18th International Conference on Computational Science and Its Applications, ICCSA 2018 - Melbourne, Australia
Duration: 2 Jul 20185 Jul 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10963 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Computational Science and Its Applications, ICCSA 2018
CountryAustralia
CityMelbourne
Period2/07/185/07/18

Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kulabukhova, N. (2018). GPGPU for problem-solving environment in accelerator physics. In B. Murgante, B. O. Apduhan, A. M. Rocha, D. Taniar, E. Tarantino, Y. Ryu, O. Gervasi, S. Misra, E. Stankova, ... C. M. Torre (Eds.), Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings (pp. 51-60). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10963 LNCS). Springer. https://doi.org/10.1007/978-3-319-95171-3_5
Kulabukhova, Nataliia. / GPGPU for problem-solving environment in accelerator physics. Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings. editor / Beniamino Murgante ; Bernady O. Apduhan ; Ana Maria Rocha ; David Taniar ; Eufemia Tarantino ; Yeonseung Ryu ; Osvaldo Gervasi ; Sanjay Misra ; Elena Stankova ; Carmelo M. Torre. Springer, 2018. pp. 51-60 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Kulabukhova, N 2018, GPGPU for problem-solving environment in accelerator physics. in B Murgante, BO Apduhan, AM Rocha, D Taniar, E Tarantino, Y Ryu, O Gervasi, S Misra, E Stankova & CM Torre (eds), Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10963 LNCS, Springer, pp. 51-60, 18th International Conference on Computational Science and Its Applications, ICCSA 2018, Melbourne, Australia, 2/07/18. https://doi.org/10.1007/978-3-319-95171-3_5

GPGPU for problem-solving environment in accelerator physics. / Kulabukhova, Nataliia.

Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings. ed. / Beniamino Murgante; Bernady O. Apduhan; Ana Maria Rocha; David Taniar; Eufemia Tarantino; Yeonseung Ryu; Osvaldo Gervasi; Sanjay Misra; Elena Stankova; Carmelo M. Torre. Springer, 2018. p. 51-60 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10963 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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Kulabukhova N. GPGPU for problem-solving environment in accelerator physics. In Murgante B, Apduhan BO, Rocha AM, Taniar D, Tarantino E, Ryu Y, Gervasi O, Misra S, Stankova E, Torre CM, editors, Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings. Springer. 2018. p. 51-60. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-95171-3_5