A package of Linux scripts for the parallelization of Monte Carlo simulations

Published: 15 September 2006| Version 1 | DOI: 10.17632/94kcrmpkny.1
Andreu Badal, Josep Sempau


Abstract Despite the fact that fast computers are nowadays available at low cost, there are many situations where obtaining a reasonably low statistical uncertainty in a Monte Carlo (MC) simulation involves a prohibitively large amount of time. This limitation can be overcome by having recourse to parallel computing. Most tools designed to facilitate this approach require modification of the source code and the installation of additional software, which may be inconvenient for some users. We present a... Title of program: seedsMLCG Catalogue Id: ADYE_v1_0 Nature of problem Statistically independent results from different runs of a Monte Carlo code can be obtained using uncorrelated sequences of random numbers on each execution. Multiplicative linear congruential generators (MLCG), or other generators that are based on them such as RANECU, can be adapted to produce these sequences. Versions of this program held in the CPC repository in Mendeley Data adye_v1_0.tar; seedsMLCG; 10.1016/j.cpc.2006.05.009 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)



Computer Hardware, Software, Computational Physics