Computational Science Technical Note CSTN-103

Some Parallel Random Number Generators and Implementation Issues on GPUs, Multi-Core and Cell Processors

K.A.Hawick

Archived November 2009

Abstract

High-quality and fast random number generators continue to be vitally important tools for applications including studies of physical models; financial engineering; networks analysis and other Monte Carlo simulations. This note reports on some algorithms and implementation ideas for exploiting multi core processors including heterogeneous systems such as the Cell Broadband Engine as well as graphical processing units with very many homogeneous cores.

Keywords: random number generator; multi-core processor; GPU; Cell BE processor.

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