On Sun, May 13, 2007 at 05:23:53PM -0700, Matt Mahoney wrote:

> It is not that hard, really.  Each of the 10^5 PCs simulates about 10 mm^3 of

You know, repeating assertions doesn't make them any more true.

> brain tissue.  Axon diameter varies but is typically 1-2 microns.  This means

Where have you pulled that number from? Why not um^3, or m^3, or a cubic
lightyear?

> each bit of brain tissue has at most on the order of 10^7 inputs and outputs,

The network is only well-balanced when you're doing spatial problem 
decomposition
across few-GByte 3d arrays, and use GBit Ethernet to exchange vicinal 
interfaces.
This assumes reasonably expensive (cheap ones can't handle the load) switches, 
and 
at least a 3d lattice topology (crossbars don't exist on that scale, but 
fortunately
you also don't need them). At some 20 GByte/s memory throughput, you don't
get a lot of ops on your grid points, as well.

> each carrying 10 bits per second of information, or 100 Mb/s.  This was barely
> within Google's network capacity in 2000, and probably well within it now.
> http://en.wikipedia.org/wiki/Google_platform
> 
> I think individuals and small groups trying to build AGI will have a hard time
> competing with Google due to the cost of hardware.  It costs $2 million/month
> just for electricity for their server farms.  Google is building a
> supercomputer in Oregon that will have cooling towers 4 stories high.
> http://en.wikipedia.org/wiki/Project_02

I recommend you read up on commodity cluster supercomputing (Beowulf). 
Not every cluster is a supercomputer.

-- 
Eugen* Leitl <a href="http://leitl.org";>leitl</a> http://leitl.org
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