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

Published: 15 September 2006| Version 1 | DOI: 10.17632/4yzt552v2d.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: clonEasy Catalogue Id: ADYD_v1_0 Nature of problem There are many situations where a Monte Carlo simulation involves a huge amount of CPU time. The parallelization of such calculations is a simple way of obtaining a relatively low statistical uncertainty using a reasonable amount of time. Versions of this program held in the CPC repository in Mendeley Data adyd_v1_0.tar; clonEasy; 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