Somewhat, I'm excited to... there has been work in using GPU's for
general purpose computing.  Take a look at http://www.gpgpu.org/

It seems now NVidia has brought it up a notch and making it even more
accessible and hardware designed for gpgpu.

-Josh

On 3/6/07, Eduardo Sabbatella <[EMAIL PROTECTED]> wrote:
Wow!

Looking at this (5 minutes) I looks very promising,
isn't anymore about hacking with the video card.

It have an api, processing model, architecture model,
nice looks good, very good.

So Nvidia is going to sell neo-coprocesors now?

:-)

--- Joshua Nye <[EMAIL PROTECTED]> escribió:

> Has anyone tried writing code for Go what would work
> in parallel?
> Would something like NVIDIA CUDA be useful?
>
> http://developer.nvidia.com/object/cuda.html
>
> --josh
>
>
> On 3/6/07, Joshua Shriver <[EMAIL PROTECTED]>
> wrote:
> > Aye I wont discredit the power that can be
> obtained, just how much.
> > Hydra is an interesting beast, but even it with
> all of it's dedicated
> > FPGA's still has lost to Rybka which ran on a
> regular computer.
> >
> > I'd still like to see someone write a go
> evalutation function for an
> > FPGA though.
> > -Josh
> >
> > On 3/6/07, terry mcintyre
> <[EMAIL PROTECTED]> wrote:
> > >
> > > http://en.wikipedia.org/wiki/Hydra_(chess)
> > >
> > > Hydra, built with 64 Intel Xeons and a number of
> FPGAs - possibly 64 or 128,
> > > "has so far no loss on record against an unaided
> human player in
> > > over-the-board play."
> > >
> > > FPGA clock speeds may seem unimpressive, but
> when you have hundreds of
> > > processors working in tandem, executing a large
> unit of work every cycle,
> > > the combined results can be quite impressive.
> However, these beasties are
> > > not really programmed, from what I have read;
> they are designed. FPGAs are
> > > closer to computer circuitry than to
> programmable computers.
> > >
> > > On the other hand, there is at least one effort
> to develop a sort of
> > > programming language/compiler for FPGAs.
> > >
> > >
>
http://www.xilinx.com/publications/xcellonline/xcell_53/xc_hydra53.htm
> > > goes into considerable detail. According to the
> author, each FPGA engine
> > > performs a position evaluation in 9 cycles which
> would require 2000 on a
> > > pentium; there are many such engines on each
> FPGA array, operating in
> > > parallel.
> > >
> > > As for video cards, providing one can map the
> algorithm to the parallel
> > > hardware, one may also see considerable
> speedups. Of course, that
> > > three-letter word "map" hides a good bit of
> intellectual heavy lifting.
> > >
> > > Terry McIntyre
> > >
> > >
> > >
> > >
> > > ----- Original Message ----
> > > From: Joshua Shriver <[EMAIL PROTECTED]>
> > > To: computer-go <computer-go@computer-go.org>
> > > Sent: Tuesday, March 6, 2007 6:15:32 AM
> > > Subject: Re: [computer-go] Go hardware?
> > >
> > > I've always been fascinated with things like
> this, especially FPGA boards.
> > > Though from every article or post I've read
> concerning (at least
> > > chess) and things like FPGA, video cards... the
> bug speed is to slow
> > > to really be effective.
> > >
> > > -Josh
> > >
> > > On 3/5/07, Chris Fant <[EMAIL PROTECTED]>
> wrote:
> > > > Maybe this would make a good Go card:
> > > >
> > > >
> > >
>
http://gizmodo.com/gadgets/peripherals/nvidia-ships-128core-graphics-cards-for-highend-film-editors-graphics-pros-apple-excited-241478.php
> > > >
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