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Computer Research and Modeling, 2016, Volume 8, Issue 4, Pages 593–604
DOI: https://doi.org/10.20537/2076-7633-2016-8-4-593-604
(Mi crm14)
 

This article is cited in 8 scientific papers (total in 8 papers)

NUMERICAL METHODS AND THE BASIS FOR THEIR APPLICATION

Numerical approach and parallel implementation for computer simulation of stacked long josephson junctions

M. V. Bashashinab, E. V. Zemlyanayaba, I. R. Rahmonova, Yu. M. Shukrinovab, P. Kh. Atanasovac, A. V. Volokhovaa

a Joint Institute for Nuclear Research, 6 Joliot-Curie st., Dubna, 141980, Russia
b Dubna State University, 19 Universitetskaia st., Dubna, 141980, Russia
c University 'Paisii Hilendarsk', 24 Tzar Assen st., Plovdiv, 4003, Bulgaria
Full-text PDF (215 kB) Citations (8)
References:
Abstract: We consider a model of stacked long Josephson junctions (LJJ), which consists of alternating superconducting and dielectric layers. The model takes into account the inductive and capacitive coupling between the neighbor junctions. The model is described by a system of nonlinear partial differential equations with respect to the phase differences and the voltage of LJJ, with appropriate initial and boundary conditions. The numerical solution of this system of equations is based on the use of standard three-point finite-difference formulae for discrete approximations in the space coordinate, and the applying the four-step Runge-Kutta method for solving the Cauchy problem obtained. Designed parallel algorithm is implemented by means of the MPI technology (Message Passing Interface). In the paper, the mathematical formulation of the problem is given, numerical scheme and a method of calculation of the current-voltage characteristics of the LJJ system are described. Two variants of parallel implementation are presented. The influence of inductive and capacitive coupling between junctions on the structure of the current-voltage characteristics is demonstrated. The results of methodical calculations with various parameters of length and number of Josephson junctions in the LJJ stack depending on the number of parallel computing nodes, are presented. The calculations have been performed on multiprocessor clusters HybriLIT and CICC of Multi-Functional Information and Computing Complex (Laboratory of Information Technologies, Joint Institute for Nuclear Research, Dubna). The numerical results are discussed from the viewpoint of the effectiveness of presented approaches of the LJJ system numerical simulation in parallel. It has been shown that one of parallel algorithms provides the 9 times speedup of calculations.
Keywords: Josephson junctions, finite difference approximation, parallel computing.
Funding agency Grant number
Russian Foundation for Basic Research 15-29-01217
15-51-61011
16-52-45011
Plovdiv University "Paisii Hilendarski" NI15-FMI-004
The work was funded by RFBR according to the research projects 15–29–01217, 15–51–61011 and 16-52-45011, and by the grant under the Program “JINR — Bulgaria”. The work of P. Kh. Atanasova was supported by project NI15-FMI-004.
Received: 12.04.2016
Revised: 20.07.2016
Accepted: 01.08.2016
Document Type: Article
UDC: 517.958
Language: Russian
Citation: M. V. Bashashin, E. V. Zemlyanaya, I. R. Rahmonov, Yu. M. Shukrinov, P. Kh. Atanasova, A. V. Volokhova, “Numerical approach and parallel implementation for computer simulation of stacked long josephson junctions”, Computer Research and Modeling, 8:4 (2016), 593–604
Citation in format AMSBIB
\Bibitem{BasZemRah16}
\by M.~V.~Bashashin, E.~V.~Zemlyanaya, I.~R.~Rahmonov, Yu.~M.~Shukrinov, P.~Kh.~Atanasova, A.~V.~Volokhova
\paper Numerical approach and parallel implementation for computer simulation of stacked long josephson junctions
\jour Computer Research and Modeling
\yr 2016
\vol 8
\issue 4
\pages 593--604
\mathnet{http://mi.mathnet.ru/crm14}
\crossref{https://doi.org/10.20537/2076-7633-2016-8-4-593-604}
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  • https://www.mathnet.ru/eng/crm/v8/i4/p593
  • This publication is cited in the following 8 articles:
    1. M. I. Zuev, S. I. Serdyukova, “Numerical method for estimating the growth rate of the rounding error in uniform metric”, Comput. Math. Math. Phys., 63:9 (2023), 1580–1587  mathnet  mathnet  crossref  crossref
    2. Jie Li, Zonglu Zhang, “A versatile dynamic noise control framework based on computer simulation and modeling”, Nonlinear Engineering, 12:1 (2023)  crossref
    3. A. V. Volokhova, E. V. Zemlyanaya, V. V. Kachalov, V. S. Rikhvitskii, “Modelirovanie protsessa istoscheniya gazokondensatnogo plasta”, Kompyuternye issledovaniya i modelirovanie, 12:5 (2020), 1081–1095  mathnet  crossref
    4. S. I. Serdyukova, “Simulation of dynamical processes in long Josephson junctions: computation of current-voltage characteristics and round error growth estimation for a second-order difference scheme”, Comput. Math. Math. Phys., 60:1 (2020), 171–178  mathnet  crossref  crossref  isi  elib
    5. Nikita Balashov, Nikolay Kutovskiy, Daria Priakhina, Ivan Sokolov, Gh. Adam, J. Buša, M. Hnatič, “Evolution and Perspectives of the Service for Parallel Applications Running at JINR Multifunctional Information and Computing Complex”, EPJ Web Conf., 226 (2020), 03002  crossref
    6. Nikita Balashov, Maxim Bashashin, Pavel Goncharov, Ruslan Kuchumov, Nikolay Kutovskiy, Kiril Kulikov, Mikhail Matveev, Andrey Nechaevskiy, Gennady Ososkov, Ilkhom Rahmonov, Rahmonov Ilkhom, Rahmonov Ilkhom, Shukrinov Yuri, Sokolov Ivan, Shukrinov Yuri, Streltsova Oksana, Zemlyanaya Elena, A. Forti, L. Betev, M. Litmaath, O. Smirnova, P. Hristov, “Service for parallel applications based on JINR cloud and HybriLIT resources”, EPJ Web Conf., 214 (2019), 07012  crossref
    7. Ruslan Kuchumov, Vadim Petrunin, Vladimir Korkhov, Nikita Balashov, Nikolay Kutovskiy, Ivan Sokolov, Lecture Notes in Computer Science, 10963, Computational Science and Its Applications – ICCSA 2018, 2018, 103  crossref
    8. N. A. Kutovskii, A. V. Nechaevskii, G. A. Ososkov, D. I. Pryakhina, V. V. Trofimov, “Modelirovanie mezhprotsessornogo vzaimodeistviya pri vypolnenii MPI-prilozhenii v oblake”, Kompyuternye issledovaniya i modelirovanie, 9:6 (2017), 955–963  mathnet  crossref
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