Fast and reliable random number generators for scientific computing

Richard P. Brent*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Citations (Scopus)

Abstract

Fast and reliable pseudo-random number generators are required for simulation and other applications in Scientific Computing. We outline the requirements for good uniform random number generators, and describe a class of generators having very fast vector/parallel implementations with excellent statistical properties. We also discuss the problem of initialising random number generators, and consider how to combine two or more generators to give a better (though usually slower) generator.

Original languageEnglish
Title of host publicationApplied Parallel Computing - State of the Art in Scientific Computing - 7th International Conference, PARA 2004, Revised Selected Papers
Pages1-10
Number of pages10
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event7th International Conference on Applied Parallel Computing, PARA 2004 - Lyngby, Denmark
Duration: 20 Jun 200423 Jun 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3732 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Applied Parallel Computing, PARA 2004
Country/TerritoryDenmark
CityLyngby
Period20/06/0423/06/04

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