Re: GPGPU computing
On Tue, Sep 08, 2009 at 11:22:41AM +0200, Francesco Pietra wrote:
> Chemical computations, such as of molecular dynamics, that rely on
> clusters or uma-type computers, are starting to be performed through
> GPGPU technology, that is by putting graphical boards to general
> floating point use. The first reports are of 10 to 80 times speeding
> up with respect to the best single processors, i.e., something that so
> far required big multicore machines for traditional computing. NVIDIA
> CUDA seems to be a leader in this area.
>
> As an amd64 user on traditional uma-type keyboards or clusters, may I
> ask where to get independent information as to the hardware/software
> required for GPGPU computing?
For cuda I believe you need:
nvidia-glx-dev
nvidia-glx
This contains libcuda and the headers needed to compile against it.
Of course how to write code to take advantage of cuda is a different
issue.
You might also need libcuda1 and libcuda-dev (so far only applies to
unstable. lenny and testing include those in the main driver).
Some places for info:
http://www.nvidia.com/object/cuda_learn.html
http://en.wikipedia.org/wiki/CUDA
--
Len Sorensen
Reply to: