Geodesic
The program package MONC for distributed computations by Monte Carlo method
Sibirskij žurnal vyčislitelʹnoj matematiki, Tome 7 (2004) no. 1, pp. 43-55 
M. A. Marchenko. The program package MONC for distributed computations by Monte Carlo method. Sibirskij žurnal vyčislitelʹnoj matematiki, Tome 7 (2004) no. 1, pp. 43-55. http://geodesic.mathdoc.fr/item/SJVM_2004_7_1_a3/
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     author = {M. A. Marchenko},
     title = {The program package {MONC} for distributed computations by {Monte} {Carlo} method},
     journal = {Sibirskij \v{z}urnal vy\v{c}islitelʹnoj matematiki},
     pages = {43--55},
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     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/SJVM_2004_7_1_a3/}
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Voir la notice de l'article provenant de la source Math-Net.Ru

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.

[1] Artemiev S. S., Averina T. A., Numerical analysis of systems of ordinary and stochastic differential equations, VSP, Utrecht, Tokyo, 1997 | MR | Zbl

[2] Ermakov S. M., Mikhailov G. A., Statisticheskoe modelirovanie, Nauka, M., 1987 | MR

[3] Mikhailov G. A., Vesovye metody Monte-Karlo, Izd-vo SO RAN, Novosibirsk, 2000 | MR

[4] Mikhailov G. A., Marchenko M. A., “Parallel realization of statistical simulation and random number generators”, Russ. J. Numer. Anal. Math. Modelling, 17:1 (2002), 113–124 | MR | Zbl

[5] Marchenko M. A., Optimizatsiya i parallelnaya realizatsiya statisticheskogo modelirovaniya diffuzionnykh protsessov, Dis. $\dots$ kand. fiz.-mat. nauk: 01.01.07, Novosibirsk, 2002

[6] Marchenko M. A., Mikhailov G. A., “Vesovye algoritmy statisticheskogo modelirovaniya diffuzionnykh protsessov”, Zhurn. vychisl. matem. i mat. fiziki, 43:4 (2003), 571–584 | MR | Zbl

[7] Marchenko M. A., Distributivy programm i materialy po generatoru psevdosluchainykh chisel i sisteme MONC, http://osmf.sscc.ru/~mam