Parallel processing of random number generation for Monte Carlo turbulence simulation
type: Item
instance of: scholarly article
title: Parallel processing of random number generation for Monte Carlo turbulence simulation
zbMATH Open document ID: 0666.65002
DOI: 10.1016/0021-9991(89)90072-7
author: A. E. Koniges
author: C. E. Leith
published in: Journal of Computational Physics
publication date: 1989-01-01T00:00:00Z
review text: In Monte Carlo computations on multi-processor computers used as a model for drift-wave turbulence in plasma physics, pseudo-random numbers generators with the following characteristics are requested: 1) numbers given to each processor should be disjoint sets; 2) the sets are reproducible run to run; and 3) the sets of numbers are the same as those obtained by using the same random number generator on computers with different numbers of processors. A simple method is given for generating reproducible sets of pseudo-random numbers with these characteristics. The method employs hopping through the sequence at large equal interval. The relation with the leapfrog method [\textit{K. O. Bowman} and \textit{M. T. Robinson}, Proc. Second. Conf. Hypercube Multiprocessors, SIAM 445 (1987)] is mentioned.
Mathematics Subject Classification ID: 65C05
Mathematics Subject Classification ID: 65C10
Mathematics Subject Classification ID: 65Y05
Mathematics Subject Classification ID: 76F05
Mathematics Subject Classification ID: 76X05
zbMATH DE Number: 4090660
zbMATH Keywords: Monte Carlo computations
zbMATH Keywords: multi-processor computers
zbMATH Keywords: drift-wave turbulence
zbMATH Keywords: plasma physics
zbMATH Keywords: pseudo-random numbers generators
zbMATH Keywords: hopping
zbMATH Keywords: leapfrog method
reviewed by: Katsuji Uosaki
MaRDI profile type: Publication
full work available at URL: 0021-9991(89)90072-7
OpenAlex ID: W2002453454
cites work: Q3935355
cites work: Pseudo-random trees in Monte Carlo
cites work: Q3713483
description: scientific article; zbMATH DE number 4090660