Over at the Macs in Chemistry blog, Chris Swain has compiled a nifty list of GPU-accelerated applications in science.
It should be noted from the start that there are two programming frameworks for writing programs that can execute on the GPU. OpenCL originally developed by Apple is an open-source initiative supported by a wide variety of graphics card vendors. The other major implementation is CUDA developed by Nvidia and is specific for Nvidia graphics units. Whilst it is true that for several years CUDA gave higher performance recent developments with OpenCL have probably closed the gap.
Read the Full Story. A Tip of the Hat goes out to GPU Science for pointing us to this post.