I'm wondering if they'd be good for a neural network. It sounds
like I could put a "trained" neural network onto an FPGA.

Would they be better than a DSP for specialized vision processing
(as in preprocessing and image for robotics)?

> I can see them being extremely useful for cryptographic work.  It's the
> ability to prototype hardware, but for computer scientists who don't
> want to deal with the actual implementation.
>
> -Adam
>
> Micro Eng wrote:
>
> > OK...had to read thru all the comments and then add my own.
> >
> > First off....there are some correct assumptions...doing things in
> > hardware,
> > specific tasks for instance that are the ONLY task it does, as in
> > graphics
> > rendering do VERY well in hardware.  I've done it in my past life.
> >
> > Second, using them as a pre or co processor also does
> > well....IF....again,
> > its doing a specific task only.  And it still applies to cluster
> > computers
> > as well.
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