Parallel Random Number Generation is a method of random number generation that enables the production of statistically independent sequences of random numbers across multiple processing units simultaneously, distinguished by its capacity to maintain reproducibility, uniformity, and lack of correlation in parallel computational environments.
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121
Michael Mascagni, Ashok Srinivasan · ACM Transactions on Mathematical Software · 2000 · 277 citations · Full text
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154
Imperial College London
London, United Kingdom
5 h-index
11 publications
999 citations
Austrian Academy of Sciences
Vienna, Austria
4 h-index
4 publications
141 citations
Université Clermont Auvergne
Clermont-Ferrand, France
4 h-index
12 publications
222 citations
Centre National de la Recherche Scientifique
Paris, France
4 h-index
11 publications
206 citations
University of Salzburg
Salzburg, Austria
4 h-index
6 publications
127 citations
Taiyuan University of Technology
Taiyuan, China
3 h-index
10 publications
367 citations
Moscow Institute of Physics and Technology
Dolgoprudnyy, Russia
3 h-index
7 publications
203 citations
Bangor University
Bangor, United Kingdom
3 h-index
3 publications
123 citations
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- Computer Physics Communications
7 publications · 170 citations
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- Parallel Computing
5 publications · 214 citations
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- Optics Letters
4 publications · 212 citations
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- Journal of Parallel and Distributed Computing
3 publications · 125 citations
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- Physical Review E
PRE · 2 publications · 120 citations
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