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Parallel random numbers: as easy as 1, 2, 3

SC, pp.1-12, (2011)

Cited by: 175|Views132
EI

Abstract

Most pseudorandom number generators (PRNGs) scale poorly to massively parallel high-performance computation because they are designed as sequentially dependent state transformations. We demonstrate that independent, keyed transformations of counters produce a large alternative class of PRNGs with excellent statistical properties (long per...More

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