Subject: Re: [boost] [random] Determining interest in Pseudo-Random Functions and Counter Based Random Number Generators
From: Heiko Bauke (heiko.bauke_at_[hidden])
Date: 2012-01-04 04:58:02
On Tue, 3 Jan 2012 16:26:25 -0500
John Salmon <john_at_[hidden]> wrote:
> I am co-author of "Parallel Random Numbers, as Easy as 1, 2, 3". which
> recently won the best paper award at the IEEE/ACM SC'11 conference.
> I'm also co-author of the related Random123 library:
> My colleagues and I would like to contribute a similar library to
> Boost as well. This isn't just a "port" of the Random123 library.
> Boost's focus on C++ allows for both simplification and clarification
> of the ideas in the paper and the original library. I've done a
> preliminary draft of some code that fits nicely into the existing
> Boost Random library. It's incomplete, but I think there's enough for
> folks to look at and gauge further interest.
I would like to draw your attention to TRNG a C++ pseudo-random number
generator library for sequential and parallel Monte Carlo simulations.
It implements an interface which is basically an extension of the
random number generator facility of the new C++ standard. See
http://numbercrunch.de/trng/ for documentation and source code.
I have not jet read your full paper "Parallel Random Numbers, as Easy
as 1, 2, 3", however, I think your counter based generators should fit
nicely into the framework of TRNG and allow for fair parallel Monte
Carlo. (See http://pre.aps.org/abstract/PRE/v75/i6/e066701 or
http://arxiv.org/abs/cond-mat/0609584 for the notion of »playing fair«
in parallel Monte Carlo.)
-- -- Cluster Computing @ http://www.clustercomputing.de -- Number Crunch Blog @ http://numbercrunch.de -- Heiko Bauke @ http://www.mpi-hd.mpg.de/personalhomes/bauke
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