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 -- To UNSUBSCRIBE, email to [email protected] with a subject of "unsubscribe". Trouble? Contact [email protected]
