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Sibirskii Zhurnal Vychislitel'noi Matematiki, 2004, Volume 7, Number 1, Pages 43–55 (Mi sjvm143)  

This article is cited in 9 scientific papers (total in 9 papers)

The program package MONC for distributed computations by Monte Carlo method

M. A. Marchenko

Institute of Computational Mathematics and Mathematical Geophysics (Computing Center), Siberian Branch of the Russian Academy of Sciences
References:
Abstract: In this paper, the technique of distributed computations for Monte Carlo methods within personal computers using the program system MONC is considered. The following items are discussed: parallel modification of congruential pseudorandom numbers generator; functional capabilities of the MONC; demands for the user's program to execute using the MONC; the estimate of computational costs of distributed computations using the MONC. Advantages of the MONC are shown when solving diffusion problems.
Key words: parallel computations, Monte Carlo method, pseudorandom number generators, computing system.
Received: 24.03.2003
Revised: 18.04.2003
Bibliographic databases:
UDC: 519.245:519.676
Language: Russian
Citation: M. A. Marchenko, “The program package MONC for distributed computations by Monte Carlo method”, Sib. Zh. Vychisl. Mat., 7:1 (2004), 43–55
Citation in format AMSBIB
\Bibitem{Mar04}
\by M.~A.~Marchenko
\paper The program package MONC for distributed computations by Monte Carlo method
\jour Sib. Zh. Vychisl. Mat.
\yr 2004
\vol 7
\issue 1
\pages 43--55
\mathnet{http://mi.mathnet.ru/sjvm143}
\zmath{https://zbmath.org/?q=an:1052.65002}
Linking options:
  • https://www.mathnet.ru/eng/sjvm143
  • https://www.mathnet.ru/eng/sjvm/v7/i1/p43
  • This publication is cited in the following 9 articles:
    1. Arykov S.B., “Solution of Applied Problems in the Parallel Programming System Aspect”, Int. J. Geotech. Earthq., 2018, no. 45, 59–67  crossref  isi
    2. S. S. Artemiev, A. A. Ivanov, V. D. Korneev, “Numerical analysis of stochastic oscillators on supercomputers”, Num. Anal. Appl., 5:1 (2012), 25–35  mathnet  crossref  elib
    3. K. V. Kalgin, “Implementation of algorithms with a fine-grained parallelism on GPUs”, Num. Anal. Appl., 4:1 (2011), 46–55  mathnet  crossref
    4. N. V. Pertsev, B. Yu. Pichugin, K. K. Loginov, “Statisticheskoe modelirovanie dinamiki populyatsii, razvivayuschikhsya v usloviyakh vozdeistviya toksichnykh veschestv”, Sib. zhurn. industr. matem., 14:2 (2011), 84–94  mathnet  mathscinet
    5. N. V. Pertsev, K. K. Loginov, “Stokhasticheskaya model dinamiki biologicheskogo soobschestva v usloviyakh potrebleniya osobyami vrednykh pischevykh resursov”, Matem. biologiya i bioinform., 6:1 (2011), 1–13  mathnet  elib
    6. Loginov K.K., Pertsev N.V., “Primenenie”, Vestnik Omskogo universiteta, 2011, no. 2, 24–28  elib
    7. O. L. Bandman, “Parallelnaya realizatsiya kletochno-avtomatnykh algoritmov modelirovaniya prostranstvennoi dinamiki”, Sib. zhurn. vychisl. matem., 10:4 (2007), 335–348  mathnet
    8. M. A. Marchenko, G. A. Mikhailov, “Distributed computing by the Monte Carlo method”, Autom. Remote Control, 68:5 (2007), 888–900  mathnet  crossref  mathscinet  zmath
    9. Katueva Ya.V., “Balansirovka zagruzki nesimmetrichnogo vychislitelnogo kompleksa pri reshenii zadachi statisticheskogo otsenivaniya”, Informatika i sistemy upravleniya, 2006, no. 2(12), 88–93  elib
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