[Beowulf] IBM Sequoia

Kilian CAVALOTTI kilian.cavalotti.work at gmail.com
Wed Feb 4 13:09:47 EST 2009


On Wednesday 04 February 2009 15:08:12 Robert G. Brown wrote:
> Or use slow, slow, slow processors (but a lot of
> them).
>
> The latter isn't a crazy idea, depending on the kind of task this
> faster-that-fastest system is supposed to be faster on.  Some sort of
> massively SIMD decomposable problem with minimal nonlocal IPCs where the
> per-processor tasks are modest and nearly independent would get the
> near-linear scaling required to use up 1.6 million cores, and it would
> explain the 1 MB of memory per core.  Consider each node as representing
> (say) 10,000 neurons and you've got a 16 billion neuron neural net with
> some sort of semilocal topology. Not bad, actually.

Isn't that the idea behind SGI's Molecule concept?
http://www.sgi.com/company_info/newsroom/press_releases/2008/november/project_kelvin.html
http://www.theregister.co.uk/2008/11/20/sgi_molecule_concept/

Cheers,
-- 
Kilian
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