NVidia has just announced the newest entrant into the ever-growing CUDA Center of Excellence program, Stanford University. Stanford already has a CUDA architecture and parallel computing program, so adding them to the Center of Excellence program is really a mere formality.
“It’s vitally important that our faculty be at the forefront of computing technology so that we can continue developing state-of-the-art computational algorithms that drive innovation in the sciences and engineering,” said Margot Gerritsen, director, Institute for Computational & Mathematical Engineering, and associate professor, Department of Energy Resources Engineering, at Stanford University. “This award allows us to broadly expand parallel computing education and research programs to large numbers of researchers and students from a wide variety of disciplines.”
The grants provided by NVidia as part of the program will be used to support some new research programs on mesh-based solvers for partial differential equations and probability and uncertainty quantification work.
Get the full release after the break.
