[Beowulf] Roadrunner shutdown

Nicole Hemsoth Nicole at Datanami.com
Thu Apr 4 19:42:07 PDT 2013

Hey guys--

Been following this thread and finally, after a week of pestering, was able
to get someone to talk about the Roadrunner's retirement. Tried to get the
answers to some of the thoughts I found here in addition to poking at them
to find out what they're going to fill that 6,000 square foot void with.
hope this is some good info.


On Thu, Apr 4, 2013 at 10:18 PM, Vincent Diepeveen <diep at xs4all.nl> wrote:

> Note that as for nuke explosions i have no idea how those look like -
> maybe someone more knowledgeable wants to comment on that.
> As a total layman there i would suspect that it's important where the
> protons/neutrons/whatever-tons/supertiny-tons are located. I'd be
> modelling that naively using
> matrixcalculations.
> So that would mean the only low level library you need is a
> matrixcalculation and some relative simple functions - with the
> matrixcalculations
>   eating 99% of all system time on that massive supercomputer out of
> all calculations done on it.
> In such case one would need surprisingly little very well optimized
> code to make optimal usage out of such massive supercomputer.
> Any other 'secret' batchjob i'd be running on a different
> supercomputer. If there is no need to run a massive vector oriented
> workload type matrixcalculation -
> one just shouldn't run on such type of supercomputer i feel. NASA
> still had that 10240 socket supercomputer back then if i remember well,
> to give one example...
> On Apr 4, 2013, at 5:39 PM, Max R. Dechantsreiter wrote:
> > Vincent,
> >
> >> It doesn't matter whether you code for blue gene, cuda or phi - from
> >> a software viewpoint it's all vector type coding you've got to do.
> >> the price of 1 coder is total peanuts compared to
> >> the price of those supercomputers. So specialistic written software
> >> is what you need anyway.
> >
> > Simply porting an application shouldn't take much effort,
> > as long as vendor-specific libraries aren't involved.
> > However, special and sometimes intensive efforts are often
> > required to achieve good performance (high utilization).
> >
> > The unfortunate fact is that funds are more easily spent
> > on hardware than on the human resources needed to utilize
> > them effectively.
> >
> > Max
> > ---
> > http://www.linkedin.in/in/benchmarking
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Nicole Hemsoth
Managing Editor, HPCwire
http://www.hpcwire.com <http://www.datanami.com>
(919) 899-9614
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