Testing parallel random number generator
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Ashok Srinivasan; Michael Mascagni; David Ceperley
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Article
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2003
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Elsevier Science
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English
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Monte Carlo computations are considered easy to parallelize. However, the results can be adversely affected by defects in the parallel pseudorandom number generator used. A parallel pseudorandom number generator must be tested for two types of correlations--(i) intrastream correlation, as for any se