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Matematicheskoe modelirovanie, 2015, Volume 27, Number 5, Pages 39–51 (Mi mm3598)  

This article is cited in 17 scientific papers (total in 17 papers)

Hybrid paralleling of the algorithms of radiation cascade transport modelling

M. E. Zhukovskiy, R. V. Uskov

Keldysh Institute for Applied Mathematics of RAS
References:
Abstract: Statistical algorithms of modeling of radiation cascade transport in compound objects by use of heterogeneous computers are developed. Generation of electron fluxes by X-radiation, bremsstrahlung and radiative electron emission are considered. Economy scheme of counting the particle generations is implemented. An approach of hybrid paralleling of the calculations for effective application of CPU and GPU is worked out. The approach is based on modification of particle trajectories tree handling method. The applications of the developed simulation tool are presented in terms of results obtained with use of hybrid computer K-100 and compared to MCNP.
Keywords: radiation transport, cascade process, heterogeneous supercomputer, hybrid paralleling.
Received: 24.02.2014
English version:
Mathematical Models and Computer Simulations, 2015, Volume 7, Issue 6, Pages 601–610
DOI: https://doi.org/10.1134/S2070048215060101
Bibliographic databases:
Document Type: Article
UDC: 519.6
Language: Russian
Citation: M. E. Zhukovskiy, R. V. Uskov, “Hybrid paralleling of the algorithms of radiation cascade transport modelling”, Mat. Model., 27:5 (2015), 39–51; Math. Models Comput. Simul., 7:6 (2015), 601–610
Citation in format AMSBIB
\Bibitem{ZhuUsk15}
\by M.~E.~Zhukovskiy, R.~V.~Uskov
\paper Hybrid paralleling of the algorithms of radiation cascade transport modelling
\jour Mat. Model.
\yr 2015
\vol 27
\issue 5
\pages 39--51
\mathnet{http://mi.mathnet.ru/mm3598}
\elib{https://elibrary.ru/item.asp?id=24850022}
\transl
\jour Math. Models Comput. Simul.
\yr 2015
\vol 7
\issue 6
\pages 601--610
\crossref{https://doi.org/10.1134/S2070048215060101}
\scopus{https://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-84947424795}
Linking options:
  • https://www.mathnet.ru/eng/mm3598
  • https://www.mathnet.ru/eng/mm/v27/i5/p39
  • This publication is cited in the following 17 articles:
    1. A. V. Sysenko, “Vychislenie istochnika dlya dvumernoi modeli radiatsionnoi elektromagnitnoi navodki v koaksialnoi kabelnoi linii”, Matem. modelirovanie, 37:1 (2025), 45–60  mathnet  crossref
    2. Mikhail Evgenievich Zhukovskiy, “On modeling radiation-induced charge effects in objects of complex geometry”, MathMon, 59 (2024), 49  crossref
    3. M. E. Zhukovskiy, V. S. Zakharov, S. V. Podolyako, “Mathematical Models of Ionization of Air Plasma by Electron Flux”, Math Models Comput Simul, 14:6 (2022), 984  crossref
    4. M. E. Zhukovskiy, V. S. Zakharov, S. V. Podolyako, “Mathematical models of ionization of air plasma by electron flux”, Matem. Mod., 34:5 (2022), 46–60  mathnet  mathnet  crossref
    5. V. A. Soboleva, M. E. Zhukovskiy, “On Modeling Sources of Radiation-Induced Effects in Heterogeneous Materials”, Math Models Comput Simul, 14:5 (2022), 829  crossref
    6. V. A. Soboleva, M. E. Zhukovskiy, “On modeling sources of radiation-induced effects in heterogeneous materials”, Matem. Mod., 34:3 (2022), 117–130  mathnet  mathnet  crossref
    7. Mikhail Evgenievich Zhukovskiy, Varvara Alekseevna Egorova, “Modeling of the radiation induced electromagnetic field in finely-disperse media”, MathMon, 52 (2021), 52  crossref
    8. V. A. Egorova, M. E. Zhukovskii, O. S. Kosarev, I. A. Tarakanov, “O modelirovanii radiatsionnogo elektromagnitnogo polya v polidispersnykh sredakh zamknuto-yacheistoi struktury”, Preprinty IPM im. M. V. Keldysha, 2020, 092, 20 pp.  mathnet  crossref  elib
    9. M. E. Zhukovskiy, M. B. Markov, R. V. Uskov, L. V. Kuznetsova, “Modeling of radiation-induced electric current in the materials of finely dispersed structure”, Math. Montisnigri, 47 (2020), 65–74  crossref  isi
    10. V. A. Egorova, F. N. Voronin, M. E. Zhukovskiy, M. B. Markov, A. I. Potapenko, R. V. Uskov, D. S. Boykov, “Model of radiation-induced thermo-mechanical effects in heterogeneous fine-dispersed materials”, Math. Models Comput. Simul., 12:5 (2020), 729–739  mathnet  mathnet  crossref  crossref
    11. M. V. Alekseev, V. A. Egorova, F. N. Voronin, M. E. Zhukovskii, A. I. Potapenko, R. V. Uskov, “O modelirovanii radiatsionno-indutsirovannykh termomekhanicheskikh effektov v geterogennykh materialakh slozhnoi dispersnoi struktury”, Preprinty IPM im. M. V. Keldysha, 2019, 032, 24 pp.  mathnet  crossref  elib
    12. M. V. Alekseev, V. A. Egorova, M. E. Zhukovskii, D. N. Sadovnichii, I. A. Tarakanov, R. V. Uskov, “O modelirovanii radiatsionno-indutsirovannykh zaryadovykh effektov v melkodispersnykh materialakh zamknuto-yacheistoi struktury”, Preprinty IPM im. M. V. Keldysha, 2019, 080, 15 pp.  mathnet  crossref  elib
    13. V. A. Egorova, K. K. Inozemtseva, M. E. Zhukovskii, “Podkhod k modelirovaniyu radiatsionno-indutsirovannykh vtorichnykh effektov v slozhnykh tekhnicheskikh ob'ektakh”, Preprinty IPM im. M. V. Keldysha, 2018, 110, 24 pp.  mathnet  crossref  elib
    14. M. V. Alekseev, F. N. Voronin, V. A. Egorova, M. E. Zhukovskii, M. B. Markov, E. B. Savenkov, R. V. Uskov, “O raschete iskhodnykh dannykh dlya modelirovaniya radiatsionno-indutsirovannykh effektov v materialakh poristogo tipa”, Preprinty IPM im. M. V. Keldysha, 2018, 208, 21 pp.  mathnet  crossref  elib
    15. Abdullin A., Stepanov D., Akhin M., “Distributed Analysis of the Bmc Kind: Making It Fit the Tornado Supercomputer”, Tools and Methods of Program Analysis, Communications in Computer and Information Science, 779, eds. Itsykson V., Scedrov A., Zakharov V., Springer International Publishing Ag, 2018, 1–10  crossref  isi
    16. M. E. Zhukovskiy, R. V. Uskov, E. B. Savenkov, M. V. Alekseev, M. B. Markov, F. N. Voronin, “The model of the radiation transport in the matter of heterogeneous materials of the porous type”, Math. Models Comput. Simul., 11:3 (2019), 415–425  mathnet  mathnet  crossref
    17. V. Egorova, M. Zhukovskiy, “Handling of the radiative electron emission modeling results by use of the neural networks”, Math. Montisnigri, 38 (2017), 89–99  isi
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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