On Fri, 2007-08-10 at 13:22 -0500, Nathan Moore wrote: > Hi, > > I recently installed an NVIDIA 8600GT graphics card (PNY brand) in an > AMD box running SL5, x86/32bit version. Rather than using for > graphics, I plan to use the card as a linear algebra co-processor ( a > fun project for students in computational physics...). NVIDIA > provides the CUDA environment/library > ( http://developer.nvidia.com/object/cuda.html) to facilitate using a > graphics card for numerical work. >
Nathan, I bought an 8600GTX card a couple of weeks ago, with similar intentions to evaluate CUDA before the launch of the dedicated Tesla cards (and I doubt I'll ever have a Tesla card at home to play with anyway!) I run SuSE 10.2 at home (on a Sun Ultra 20 workstation). The CUDA toolkit and SDK installed without problems, and the examples run fine. libtlshook.so is part of the CUDA install - I installed under /usr/local so it is /usr/local/cuda/lib/libtlshook.so You need to set LD_LIBRARY_PATH such that $CUDA_ROOT/lib is included (substitute $CUDA_ROOT for where you installed CUDA) Cue me now boring the list by saying that the last time I worked with vector processors was on an IBM 3090. I compiled up part of the Aleph Monte Carlo package on it, and it ran slower. Admittedly this was a very naive attempt - just throw it at the compiler and hope for the best.
