ETH Zurich selected as NVIDIA CUDA Research Center

CUDA Research Center


About the CUDA Research Center at ETH Zurich

ETH Zurich stands for excellence in education, groundbreaking basic research and applied results that are beneficial to society as a whole.

Founded in 1855 is considered one of the top Universities in the world, with more than 16,000 students from 80 countries, of which 3500 are doctoral candidates. More than 400 professors conduct research in areas of engineering, architecture, mathematics, natural sciences, system-oriented sciences, and management and social sciences. 21 Nobel Laureates s have studied, taught or conducted research at ETH Zurich, underlying the pursuit of excellence for the Institute.

Computing is an important component of research and education at ETH Zurich. Computing at ETHZ encompasses a number of activities spanning: HPC as developed and promoted by the CSCS the Swiss National Supercomputing Centre, one of the first ever established programs in education in CSE and a number of research groups who conduct world class research in Computational Science and Engineering in areas of Engineering, Mathematics, Physics, Chemistry, Computer Science, Earth and Social Sciences.

The ETHZ CUDA Research Center enhances the computing arsenal of ETHZ in the area of GPU Computing. Over the last few years GPU computing at ETHZ has led to significant advances in numerical simulation of phenomena in Quantum Physics, Fluid Dynamics, Biology and Visual Computing. ETHZ staff and researchers have developed a GPU computing infrastructure to support these research activities and we are in the process of further extending research and educational activities in GPU computing. We collaborate with Swiss and other Universities from around the world in promoting GPU computing.

about the PI :

Petros Koumoutsakos holds the Chair of Computational Science in the Department of Computer Science at ETHZ. He studied Naval Architecture at the National Technical University of Athens (Diploma) and the University of Michigan Ann Arbor (M.S.). He received a Masters and a PhD in Aeronautics and Applied Mathematics from the California Institute of Technology. His research interests are in multiscale modeling and simulation, HPC and bio-inspired optimization as applied to problems in Fluid Dynamics, Biology and Nanotechnology.