Hi Martin, > I was wondering if anyone has thought about accelerating NumPy with a > GPU. For example nVidia's CUDA SDK provides a feasible way to offload > vector math onto the very fast SIMD processors available on the GPU. > Currently GPUs primarily support single precision floats and are not > IEEE compliant, but still could be useful for some applications.
I wasn't actually there, but I noticed that last year's SciPy conference page includes a talk entitled "GpuPy: Using GPUs to Accelerate NumPy", by Benjamin Eitzen (I think I also found his Web page via Google): http://www.scipy.org/SciPy2006/Schedule I also wondered whether Benjamin or anyone else who is interested had come across the Open Graphics Project (hadn't got around to asking)? http://wiki.duskglow.com/tiki-index.php?page=open-graphics This would be quite a specialized combination, but I'm sure it could be useful to some people with high performance requirements or maybe building some kind of special appliances. Cheers, James. _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
