[Beowulf] China Wrests Supercomputer Title From U.S.

[Brock Palen]

I have an account on Kraken (not as big as jaguar) but my jobs have been blocked by jobs using 99,000+  cores several times.  What this job does I don't know, 

Brock Palen
www.umich.edu/~brockp
Center for Advanced Computing
brockp at umich.edu
(734)936-1985



On Oct 28, 2010, at 11:57 AM, Gus Correa wrote:

> Hi Bill, list
> 
> Here is it from The Register:
> http://www.theregister.co.uk/2010/10/28/china_tianhe_1a_supercomputer/
> 
> Which real real production applications ran on Jaguar across all processors?
> I heard of large high-resolution climate models that ran on Jaguar
> and on Kraken, using about 6000 cores, but not the full set available.
> There certainly are other large applications, though.
> 
> Thanks,
> 
> Gus Correa
> 
> Bill Rankin wrote:
>> I was just going to post the same thing, but with the HPCWire link instead.
>> http://www.hpcwire.com/blogs/New-China-GPGPU-Super-Outruns-Jaguar-105987389.html
>> A few comments:
>> A 42% increase (2.5TF v. 1.75TF for jaguar) is not a "wide margin".  
> If I did my math right, that represents about 7 months
> worth of gain on the growth curve for the Top500 list
> (peak performance growth is ~2x every 13 months).
>> Linpack is very forgiving of low-bandwidth networks 
> (or PCI-x busses in this case).
>> This strikes me as a machine that will most likely 
> never see a single application that runs on the full system.
> There is nothing wrong with that per-se, but it must be taken
> into consideration when comparing it to machines that have run
> real production applications across the entire processor set (ie. Jaguar).
>> What this machine does do is validate to some extent the 
> continued use and development of GPUs in an HPC/cluster setting.
> I will admit that I have been very skeptic in the past as to whether
> GPU-based computing had any long-term traction.
> In my defense I have seen many past examples of
> specialized computing approaches that did not
> survive past the first generation and eventually
> lost out to the general purpose microprocessor.
> 
> I will now admit that GPU technology may have a bigger
> long-term impact that I had originally imagined.
>> -b
>>> http://www.nytimes.com/2010/10/28/technology/28compute.html
>>> 
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