Path: utzoo!utgpu!jarvis.csri.toronto.edu!mailrus!ukma!gatech!hubcap!braner
From: braner@tcgould.tn.cornell.edu (Moshe Braner)
Newsgroups: comp.parallel
Subject: Re: One parallel v. many uniprocessor algorithms
Summary: There is usually a lot of RAM around...
Message-ID: <5422@hubcap.clemson.edu>
Date: 8 May 89 12:02:18 GMT
Sender: fpst@hubcap.clemson.edu
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Approved: parallel@hubcap.clemson.edu

Most distributed-memory parallel machines seem to come with a lot of RAM
(1M to 4M per processor).  Once you have paid for that, it is frequently
more efficient (in terms of heavier utilization of the available hardware)
to run several separate simulations, one on each node, than to run a
distributed one.  And of course it's easier to program...  Anyway, let's
not generalize.  Some people's programs do need a lot of RAM, and will
not run at all on typical non-parallel machines...

- Moshe