A number of compute-intensive application areas can benefit from the parallel nature of ATI Stream computing on the GPU.
Many of the applications listed above use common math library functions like BLAS, SGEMM and DGEMM. AMD’s Core Math Library (ACML) for the GPU supports these functions today with many more common library functions being ported to the GPU architecture in the coming months. ACML-GPU is freely available by emailing the AMD Stream team at: streamcomputing@amd.com.
ATI Stream computing was a founding partner with Stanford University in the development of Folding@Home: a distributed computing application that takes advantage of unused GPU cycles to perform advanced protein folding research. Folding@Home is an active, ongoing research project studying Alzheimer's, Mad Cow (BSE), CJD, ALS, Huntington's, Parkinson's disease, and many Cancers and cancer-related syndromes.
AMD and ATI Stream are proud partners with Stanford University’s Folding@Home program. For additional information on the program, please visit our medical research page or the Folding@Home website: http://folding.stanford.edu/.