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- Path: sparky!uunet!synaptx!synaptics.com!daveg
- From: daveg@synaptics.com (Dave Gillespie)
- Newsgroups: sci.math.num-analysis
- Subject: Re: Distributed Random Number Generation
- Message-ID: <DAVEG.92Sep13010611@synaptx.synaptics.com>
- Date: 13 Sep 92 08:06:11 GMT
- References: <h_8yzkk@rpi.edu>
- Sender: daveg@synaptx.Synaptics.Com
- Organization: Synaptics, Inc., San Jose, CA
- Lines: 22
- In-reply-to: maniattb@cs.rpi.edu's message of 12 Sep 92 15:12:58 GMT
-
- In article <h_8yzkk@rpi.edu> maniattb@cs.rpi.edu (Bill Maniatty) writes:
- > I have a large distributed stochastic model (runs on MasPar MP-1 with 2,048
- > processing elements). I'm not an expert on random number generation, but
- > I need to simultaneously g enerate different ``Random'' sequences on each
- > node.
-
- If the nodes must be independent, then it would probably work pretty
- well to use one random number generator, say, linear congruential,
- to create a sequence of 2048 seeds for a different type of generator,
- say additive congruential, running in parallel on the various nodes.
- I can't guarantee that this is safe, though, because the biggest
- result from random number theory seems to be that nobody knows how
- to prove much of anything in it. :-)
-
- Knuth's _Seminumerical Algorithms_ (volume 2 of _The Art of Computer
- Programming_) describes both the generators I mentioned above.
-
- -- Dave
- --
- Dave Gillespie
- daveg@synaptics.com, uunet!synaptx!daveg
- or: daveg@csvax.cs.caltech.edu
-