Random Number Generators: A Survival Guide for Large Scale Simulations

Details Random Number Generators: A Survival Guide for Large Scale Simulations Random Number Generators: A Survival Guide for Large Scale Simulations

2009-05-26

arxiv.org/abs/0905.4238v2

Physics

Condensed Matter

Statistical Mechanics

Lecture at the summer school "Modern Computation Science", 16-28 August 2009, Oldenburg (Germany), see http://www.mcs.uni-olde

Scientific paper

Monte Carlo simulations are an important tool in statistical physics, complex systems science, and many other fields. An increasing number of these simulations is run on parallel systems ranging from multicore desktop computers to supercomputers with thousands of CPUs. This raises the issue of generating large amounts of random numbers in a parallel application. In this lecture we will learn just enough of the theory of pseudo random number generation to make wise decisions on how to choose and how to use random number generators when it comes to large scale, parallel simulations.

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