DHPC Talk DHPCT-024
Techniques for Empirical Testing of Parallel Random Number Generators
Paul Coddington
Archived: 25 February 1999
Presented at the
ACM International Conference on Supercomputing (ICS'98),
Melbourne, July 1998.
See also the accompanying
technical paper.
Abstract
Parallel computers are now commonly used for computational science
and engineering, and many applications in these areas use random
number generators. For some applications, such as large-scale Monte
Carlo simulations, it is crucial that the random number generator have
good randomness properties. Many programs are available for testing the
quality of sequential random number generators, but very little work has
been done on testing parallel random number generators. We present
some techniques for empirical testing of random number generators on
parallel computers, using tests based on computational science
applications as examples. In particular, we focus on tests based on
parallel algorithms developed for Monte Carlo simulations of the two
dimensional Ising model, for which exact results are known. Preliminary
results of these tests are presented for several parallel random number
generators.
PDF version of the slides
PostScript version of the slides
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