About the GPU Research Center at SUNY Korea
The GPU Research Center at SUNY Korea supports a wide range of research and education activities that involve CUDA devices and technology. One application is computed tomography (CT) in medical applications, such as X-ray and ultrasound imaging, where the speed of GPUs enables the realization of highly compute-intensive iterative schemes for the reconstruction from data acquired in adverse conditions, such as low radiation dose, sparse acquisition, and beam hardening, and for the modeling and integration of the underlying imaging physics into the reconstruction process. Another application is in the area of visual analytics where GPUs support frameworks for interactive cluster analysis of big data in health informatics, climate science, and economics. The center also makes use of GPUs for parameter learning of optimization algorithms from example data where the high computational performance of GPUs enables an efficient exploration of the search space. A more recent effort is the design of effective visual interfaces to visualize runtime performance and aid in code optimization, in particular nested loop reordering and decomposition using the polyhedral method. These and other research efforts have been widely published in both the domain literature and as CUDA computing gems. Almost all students of the PI have used, or are using, GPUs in their research for the purpose of making their software interactive or facilitating otherwise computationally infeasible research. Courses on high performance computing with GPUs are taught on a regular basis where students are able to also hone their skills on SUNY Korea’s high-end multi-GPU Tesla server.
 
SUNY Korea (State University of New York, Korea) was founded in 2012 and is the first American university on Korean soil. It is tightly integrated with one of the largest SUNY campuses – Stony Brook University – and it offers the same learning and research experience and also academic degrees.
 
About the PI
Klaus Mueller received a PhD in computer science from the Ohio State University, an MS in Biomedical Engineering from Ohio State, and a BS in Electrical Engineering from the Technical University of Ulm, Germany. He is currently a professor and the chair of the Computer Science Department at SUNY Korea, and a professor in the Computer Science Department at Stony Brook University. His current research interests are visual analytics, medical imaging, and high-performance computing with GPUs. He won the US National Science Foundation CAREER award in 2001 and the SUNY Chancellor Award for Excellence in Scholarship and Creative Activity in 2011. Mueller has authored more than 170 peer-reviewed journal and conference papers, which have been cited more than 6,000 times. He is a frequent speaker at international conferences, has participated in 15 tutorials on various topics including GPU programming, and is a former chair of the IEEE Technical Committee on Visualization and Computer Graphics. He was an associate editor of IEEE Transactions on Visualization and Computer Graphics and is a senior member of the IEEE.