Hi,

Even if you convert the Java code to native C++ you will achieve a huge
acceleration in that. I mean no .NET, but a C++ that compiles to a native
machine code.

nVidia is a good choice anyway as they provide an API so you can use it's
GPU for calculations. I am not familiar with these video cards and their
capabilities, all I know that they are pretty fast for certain tasks, plus
that if you need even more processing power you need to buy an FPGA card
something like this: http://www.fastertechnology.com/

Tamas




On Fri, Mar 25, 2011 at 9:33 AM, V G <x.solarwind.x@gmail.com> wrote:

> Hi all,
>
> I'm developing imaging software for my university which processes very
> large
> and high resolution images (from microscopes). The images are around 200 =
MB
> in size and not too sure about the dimensions yet. A simple algorithm
> written in Java by a friend resulted in a run time of about 60 minutes fo=
r
> a
> bunch of images (not sure exactly how many, but doesn't really matter).
>
> I'm wondering if nVidia CUDA on a suitable video card such as a GTX460
> (Fermi) would be a good choice for a task like this. Instead of processin=
g
> one pixel at a time, would it be possible to use the video card to proces=
s
> multiple at a time?
> --
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--=20
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