Hello,

Information about RapidMind and PeakStream(Google) software
may be helpful.

Here are the links:
http://www.spectrum.ieee.org/print/4837
http://www.rapidmind.com/
http://www.theregister.co.uk/2007/06/05/google_buys_peakstream/

Regards,

Yuri

--- Derek Zahn <[EMAIL PROTECTED]> wrote:

> Moshe Looks writes:> This is not quite correct; it really depends
> on the complexity of the > programs one is evolving and the
> structure of the fitness function. For > simple cases, it can
> really rock; see> > http://www.cs.ucl.ac.uk/staff/W.Langdon/
>  
> That's interesting work, thanks for the link!  It's not immediately
> obvious, but the particular example there is a population of
> programs that estimate pi with up to 8 leaves from an "alphabet" of
> six tokens (2 constants and 4 basic arithmetic operations).  
>  
> The strategy used for parallelization is to run all programs
> currently waiting on a '+' operation, then run all programs doing a
> '-' operation and so on.  If there are N operations (4 in this
> case), the population runs at 1/N speed (since the SIMD nature of
> the thing makes the others wait).  So you're right, for simple
> cases like this one it only wastes 75% of the available processing
> power.  It doesn't seem like it will scale very well though.  Even
> on this simple task I bet a quad-core cpu is competitive with the
> GPU hardware.
>  
> It does point out though that some things that are not intuitively
> data parallel can be executed effectively on a GPU.
>  
> Do you personally think MOSES will run well on a GPU?
> 
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