Georgia Institute of Technology CCOE Summary
About the CCOE at Georgia Institute of Technology
Georgia Tech was awarded an NVIDIA CUDA Center of Excellence (CCOE) in 2010 for its integration of CUDA enabled GPUs for a host of science and engineering projects as well as, for its commitment to teaching GPU Computing. The CCOE at Georgia Tech has a over 30 faculty participants, and several important founding partners: Centers for Disease Control and Prevention (CDC), Georgia Tech Research Institute (GTRI), Oak Ridge National Laboratory (ORNL), the Georgia State/Georgia Tech Center for Advanced Brain Imaging (CABI), and Accelereyes. The honor complements a number of existing, funded projects for the development of GPU-enabled computing and computational science. These activities cover virtually every dimension of scalable heterogeneous computing with graphics processors: large scale computing facilities, education, algorithms and applications, architectures, libraries, system software, programming productivity, and performance. One outstanding example of Georgia Tech’s GPU activities is the Keeneland Project. Keeneland is a $12M National Science Foundation Track 2 award that aims to bring GPU computing resources to bear on NSF’s important computational science applications.
About Georgia Tech’s School of Computational Science and Engineering
Created in 2005, the School of Computational Science and Engineering is devoted to the advancement and promotion of the CSE discipline. Our research focuses on making fundamental advances in the creation and application of new computational methods and techniques in order to enable breakthroughs in scientific discovery and engineering practice. This research spans many computational areas. For example, research in high performance computing develops new ways to exploit the world’s most powerful supercomputers. Research in massive scale data and visual analytics and machine learning explores ways to extract useful information from the unprecedented volumes of data now appearing on the Internet and in many fields of science, engineering, and medicine. Modeling and simulation research explores new methods to exploit parallel and distributed computing platforms in order to solve challenging problems in areas such as medicine and transportation. Algorithm research builds a solid foundation spanning both continuous and discrete models. Our research is inherently interdisciplinary and includes interdepartmental collaborations and interactions that crisscross the Georgia Tech campus—and extend around the world.
About the PI
Jeffrey Vetter, Ph.D., has a joint appointment between Oak Ridge National Laboratory (ORNL) and the Georgia Institute of Technology (GT). At ORNL, Vetter is a Distinguished R&D Staff Member, and the founding group leader of the Future Technologies Group in the Computer Science and Mathematics Division. At GT, Vetter is a Joint Professor in the Computational Science and Engineering School of the College of Computing, the Principal Investigator for the NSF Track 2D Experimental Computing Facility, named Keeneland, for large scale heterogeneous computing using graphics processors. Vetter earned his Ph.D. in Computer Science from the Georgia Institute of Technology. Currently, Vetter's research addresses problems in analyzing new architectures for HPC using measurement, modeling, and simulation. In particular, he has been investigating the effectiveness of next-generation architectures, such as graphics processors, massively multithreaded processors, non-volatile memory systems, heterogeneous multicore processors, and field-programmable gate arrays (FPGAs), for key applications.