NVIDIA has been pushing their CUDA platform for years now as a method to access your GPU for purposes far beyond the scopes of flags and frags. We have seen what a good amount of heterogeneous hardware will do to a process with a hefty portion of parallelizable code from encryption to generating bitcoins; media processing to blurring the line between real-time and non-real-time 3d rendering. NVIDIA also recognizes the role that academia plays in training the future programmers and thus strongly supports when an institution teaches how to use GPU hardware effectively, especially when they teach how to use NVIDIA GPU hardware effectively. Recently, NVIDIA knighted Stanford as the latest of its CUDA Center of Excellence round table.

It will be 150$ if you want it framed.

The list of CUDA Centres of Excellence now currently includes: Georgia Institute of Technology, Harvard School of Engineering, Institute of Process Engineering at Chinese Academy of Sciences, National Taiwan University, Stanford Engineering, TokyoTech, Tsinghua University, University of Cambridge, University of Illinois at Urbana-Champaign, University of Maryland, University of Tennessee, and the University of Utah. If you are interested in learning about programming for GPUs then NVIDIA has just graced blessing on one further choice. Whether that will affect many prospective students and faculty is yet to be seen, but it makes for many amusing puns nonetheless.