About the CUDA Research Center at Lobachevsky State University of Nizhny Novgorod (UNN)
Lobachevsky State University of Nizhny Novgorod (UNN) is one of the leading Russian higher educational institutions. In October 2009, UNN became one of a 12 Russian Universities to be awarded the title of National Research University.  UNN was recognized as a national research university for its focus on high performance and supercomputing technologies developing systems and application software for multiprocessor computational systems. The center is focused on a goal of broading GPU computing in bio imaging, optical tomography, radiotherapy, molecular dynamics and bio- and nano-engineering, modeling of the brain functions and the brain-computer interfaces, computations of laser accelerators of charged particles for radiotherapy, protonography and inertial thermonuclear fusion.

About the co-PIs
Professor Victor Gergel is a Dean of the Faculty of Computational Mathematics and Cybernetics at Lobachevsky State University of Nizhni Novgorod (UNN). He received his D.Sc degree in CAD ​​systems design. His research interests include mathematical models, methods and decision-making systems (the problems of global and multi-objective optimization, pattern recognition and classification), software engineering and development of complex software applications, mathematical models, methods and software systems for parallel computing on multiprocessor computer systems (clusters). He was a co-director of Russian Foundation for Basic Research project on developing methods and software for computer-aided decision making, leader of project for developing computer software for decision making (this software has been presented at the World International Exhibition CeBIT 95 & 07, Hannover, Germany), co-manager of the project of the Program of Russian-Hungarian Research and Technological Cooperation and of the joint Russian-Dutch project and co-manager of the research program on Perspective Information Technology in Computer-Aided Modeling and Research.

Vadim Turlapov is a professor of the Faculty of Computational Mathematics and Cybernetics at Lobachevsky State University of Nizhni Novgorod (UNN), D.Sc of Technics.   He has been teaching a course in Computer Graphics and Computer Architecture at UNN since 2002. In 2006, he headed a Computer Graphics Laboratory.  In 2010, he organized the All-Russian Scientific School “Computer vision, 3D modeling and computer graphics”. He is one of the founders of the Russian Community of Computer Graphics Specialists, GRAPHICON, established in 2010. The scientific interests of his laboratory are Global Illumination, Rendering of Natural Phenomena, and Scientific Visualization in the context of real-time computing on the GPU.

Konstantin Barkalov is a senior lecturer in the Faculty of the Computational Mathematics and Cybernetics at Lobachevsky State University of Nizhni Novgorod (UNN). He received a Ph.D. in Physics and Mathematics. He participated in the TEMPUS-Tacis project “Statistics for Regional Needs: Structures and Programs”. He is a member of the Dutch-Russian research project “High-speed computing in global optimization: sequential and parallel environment” (NWO 047.016.014) and co-manager of the Russian Foundation for Basic Research project on developing of methods and software for computer-aided decision making “Multiextremal models and efficient methods of optimal choice”(RFBR â„– 07-01-00467).

Denis Bogolepov is a post-graduate student of the Faculty of Computational Mathematics and Cybernetics at Lobachevsky State University of Nizhni Novgorod (UNN). He received his M.Sc. in Computer Science in 2009. His research interests include General-Purpose computation on GPU (GPGPU) and realistic image synthesis. At UNN he teaches disciplines related to computer graphics, and participates in educational projects such as Intel Schools. His current project is dedicated to real-time global illumination of dynamic scenes. The current program version performs all phases of rendering (including building of acceleration structure) on GPU and is based on cross-platform standards OpenGL/OpenCL, therefore supports various software and hardware platforms.

Nikolay Gavrilov is a post-graduate student of the Faculty of Computational Mathematics and Cybernetics at Lobachevsky State University of Nizhni Novgorod (UNN). He received his M.Sc. in Computer Science in 2009. His research interests include volume rendering for visualization of scientific and medical data. His current project is dedicated to real-time visualization of CT and MRI tomograms.His program provides several visualization techniques, such as Shaded Direct Volume Rendering via the 1D- or 2D- transfer functions, multiple semi-transparent discrete iso-surfaces visualization, MIP, MIDA, etc. He uses GPU-based algorithms with some modifications to improve quality and rendering performance.

Dmitry Sopin is a graduate student of the Faculty of Computational Mathematics and Cybernetics at Lobachevsky State University of Nizhni Novgorod (UNN). He received his B.Sc. in Computer Science in 2010. His research interests include General-Purpose Computations on GPU (GPGPU) and realistic image synthesis. He is an expert in graphics design and development of tools for the GPU. His current project is dedicated to real-time global illumination for dynamic scenes. The current version of his program performs all rendering phases (including building of acceleration structure) on GPU and is based on cross-platform standards OpenGL/OpenCL, therefore supports various software and hardware platforms.

Sergey Bastrakov is a graduate student of the Faculty of Computational Mathematics and Cybernetics at Lobachevsky State University of Nizhni Novgorod (UNN). He received his B.Sc. in applied mathematics and computer science (2010). He has 3.5 years experience in field of HPC and GPGPU: research in effective implementation of global optimization and financial mathematics algorithms for modern CPU and GPU hardware. His current research is related to developing high performance plasma simulation code for heterogeneous (CPU + GPU) clusters in collaboration with the Institute of Applied Physics of the Russian Academy of Sciences. At UNN he teaches CUDA-related part of “Models and methods of HPC” course.