[Beowulf] Engineers boost AMD CPU performance by 20% without overclocking

Vincent Diepeveen diep at xs4all.nl
Fri Feb 10 12:48:08 EST 2012


Another interesting question is how a few cores cores would be able  
to speedup
a typical single precision gpgpu application by 20%.

That would means that the gpu is really slow, especially if we  
realize this is just 1 or 2 CPU cores or so.

Your gpgpu code really has to kind of be not so very professional to  
have 2 cpu cores alraedy contribute
some 20% to that.

Most gpgpu codes here on a modern GPU you need about a 200+ cpu cores  
and that's usually codes which
do not run optimal at gpu's, as it has to do with huge prime numbers,  
so simulating that at a 64 bits cpu is more
efficient than a 32 bits gpu.

So in their case the claim is that for their experiments, assuming 2  
cpu cores, that would be 20%. Means we have a
gpu that's 20x slower or so than a fermi at 512 cores/HD6970 @ 1536.

1536 / 20 = 76.8 gpu streamcores. That's AMD Processing Element  
count. for nvidia this is similar to 76.8 / 4 = 19.2 cores

This laptop is from 2007, sure it is a macbookpro 17'' apple, has a  
core2 duo 2.4Ghz and has a Nvidia GT 8600M with 32 CUDA cores.

So if we extrapolate back, the built in gpu is gonna kick that new  
AMD chip, right?

Vincent

On Feb 10, 2012, at 6:08 PM, Joe Landman wrote:

> On 02/10/2012 12:00 PM, Lux, Jim (337C) wrote:
>> Expecting headlines to be accurate is a fool's errand...
>> Be glad it actually said AMD.
>
> Expecting articles contents to reflect in any reasonable way upon
> reality may be a similar problem.  There are a few, precious few  
> writers
> who really grok the technology because they live it:  Doug Eadline,  
> Jeff
> Layton, Henry Newman, Chris Mellor, Dan Olds, Rich Brueckner, ... .
>
> The vast majority of articles I've had some contact with the  
> authors on
> (not in the above group) have been erroneous to the point of being
> completely non-informational.
>
>
>
> -- 
> Joseph Landman, Ph.D
> Founder and CEO
> Scalable Informatics Inc.
> email: landman at scalableinformatics.com
> web  : http://scalableinformatics.com
>         http://scalableinformatics.com/sicluster
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