CUDA is NVIDIA’s parallel computing architecture, which enables dramatic increases in computing performance by harnessing the power of GPUs.  NVIDIA CUDA GPUs support all GPU computing programming models, APIs, and languages, including CUDA C/C++/Fortran, OpenCL, DirectCompute, and the recently announced Microsoft C++ AMP.  More than 460 universities and institutions worldwide teach the CUDA programming model within their curriculum.  For more information on NVIDIA CUDA technology, visit: www.nvidia.com/CUDA.

About The Johns Hopkins University
The Johns Hopkins University, founded in Baltimore in 1876 by philanthropist Johns Hopkins, was America’s first research university and today is a leading center for higher education in more than 250 major fields of study conferring both graduate and undergraduate degrees at campuses throughout the Baltimore-Washington area and in Italy and China.  The university comprises schools of Arts & Sciences, Business, Education, Engineering, International Studies, Medicine, Music, Nursing and Public Health.  For more about how these and other divisions and organizations of The Johns Hopkins University are working to advance humanity in service to our world see www.jhu.edu.

About NVIDIA
NVIDIA (NASDAQ: NVDA) awakened the world to computer graphics when it invented the GPU in 1999.  Today, its processors power a broad range of products from smart phones to supercomputers. NVIDIA’s mobile processors are used in phones, tablets and auto infotainment systems.  PC gamers rely on GPUs to enjoy spectacularly immersive worlds. Professionals use them to create visual effects in movies and design everything from golf clubs to jumbo jets.  And researchers utilize GPUs to advance the frontiers of science with high-performance computers.  The company holds more than 2,100 patents worldwide, including ones covering ideas essential to modern computing.  For more information, see www.nvidia.com.