About the GPU Research Center at Georgia Institute of Technology
Georgia Tech was awarded GPU Research Center in 2016 for its integration of GPU Computing for a host of science and engineering projects as well as, for its commitment to teaching GPU Computing. The GRC 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
David A. Bader is a Full Professor and Chair of the School of Computational Science and Engineering, College of Computing, at Georgia Institute of Technology, and Executive Director of High Performance Computing. He received his Ph.D. in 1996 from The University of Maryland, and his research is supported through highly-competitive research awards, primarily from NSF, NIH, DARPA, and DOE. Dr. Bader serves as a board member of the Computing Research Association (CRA), on the NSF Advisory Committee on Cyberinfrastructure, on the Council on Competitiveness High Performance Computing Advisory Committee, on the IEEE Computer Society Board of Governors, and on the Steering Committees of the IPDPS and HiPC conferences. He is the editor-in-chief of IEEE Transactions on Parallel and Distributed Systems (TPDS) and Program Chair for IPDPS 2014. Bader also serves as an associate editor for several high impact publications including IEEE Transactions on Computers (TC), ACM Transactions on Parallel Computing (TOPC), and ACM Journal of Experimental Algorithmics (JEA). Dr. Bader's interests are at the intersection of high-performance computing and real-world applications, including computational biology and genomics and massive-scale data analytics. He has co-chaired a series of meetings, the IEEE International Workshop on High-Performance Computational Biology (HiCOMB), co-organized the NSF Workshop on Petascale Computing in the Biological Sciences, written several book chapters, and co-edited special issues of the Journal of Parallel and Distributed Computing (JPDC) and IEEE TPDS on high-performance computational biology. He is also a leading expert on multicore, manycore, and multithreaded computing for data-intensive applications such as those in massive-scale graph analytics. He has co-authored over 130 articles in peer-reviewed journals and conferences, and his main areas of research are in parallel algorithms, combinatorial optimization, massive-scale social networks, and computational biology and genomics. Prof. Bader is a Fellow of the IEEE and AAAS, a National Science Foundation CAREER Award recipient, and has received numerous industrial awards from IBM, NVIDIA, Intel, Cray, Oracle/Sun Microsystems, and Microsoft Research. Dr. Bader has served as a lead scientist in several DARPA programs including High Productivity Computing Systems (HPCS) with IBM PERCS, Ubiquitous High Performance Computing (UHPC) with NVIDIA ECHELON, Anomaly Detection at Multiple Scales (ADAMS) and Power Efficiency Revolution For Embedded Computing Technologies (PERFECT). Bader is a co-founder of the Graph500 List for benchmarking "Big Data" computing platforms. Bader is recognized as a "RockStar" of High Performance Computing by InsideHPC and as HPCwire's People to Watch in 2012 and 2014.
The GRC was formerly a GPU Center of Excellence led by Jeffrey Vetter, Ph.D. and David Bader.