> No, that's indeed what happens on most supers I've seen. Even if some
> codes are capable of running to the (almost) full scale of the
> machine, such large runs are quite marginal. They often take place
> before the system enters production, to demonstrate its capabilities,
Well said.



> > Along similar lines, has Google or Amazon ever published their batch job
> > capacity (it must be in petaflops...)

> That means high latencies and grumpy MPI. 

Grumpy MPI.  Now there's a name for a new open source project, if I have ever 
seen one.

Let's start it now - a new MPI implementation which is intended for clouds and 
geographically
separated machines with high latencies between them. The MPI implementation 
will cope with 
Network interruptions of a long duration, but will of course produce copious 
grumpy error messages.

And we can have mailing lists which are famed across the Internet for their 
spikiness and flame wars.
I vote we invite Victor Meldrew to be the project's new figurehead.
http://en.wikipedia.org/wiki/Victor_Meldrew

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