N.I. Lobachevsky State University of Niznhi Novgorod

NVIDIA
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CUDA Research Center

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Lobachevsky State University of Nizhni Novgorod (UNN) has been designated a 2011 NVIDIA CUDA Research Center (CRC) based on the vision, quality, and impact of its research leveraging CUDA technology. NVIDIA recognizes and fosters collaboration with research groups at universities and research institutes that are expanding the frontier of massively parallel computing using graphics processing units(GPUs).

UNN is one of the leading Russian higher educational institutions with high professional reputation. In October 2009 UNN became one of a 12 Russian Universities to be awarded the title of the National Research University. One of the priority development trends of UNN as a national research university is the high performance and supercomputing technologies in the development of systems and application software for multiprocessor computational systems.

The strategic purpose of setting up CUDA Research Center in UNN is to contribute to the wide use of perspective high performance computer systems on the basis of graphics processors for solving the current scientific-technical issues for organizations, enterprises and companies in education, science, industry and business in Privolzhsky Federal District and Russia in whole. Our goal is to broaden GPU computing in bioimaging, 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.

Participants

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 multiobjective 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. Co-manager 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 Laboratory of Computer Graphics. 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, Scientific Visualization in the context of real-time computing on the GPU.

Konstantin Barkalov is a senior lecturer of 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. Member of Dutch-Russian research project High-speed computing in global optimization: sequential and parallel environment (NWO 047.016.014). 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 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 GPUs (GPGPU) and realistic image synthesis. At UNN he teaches disciplines related to computer graphics and HPC (OpenCL-related part of Models and methods of HPC course), and participates in educational projects such as Intel Schools. His current project is dedicated to real-time global illumination of dynamic scenes. To speed up the computation GPU is used for all phases of rendering (including building of acceleration structure).

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 GPUs (GPGPU) and realistic image synthesis. He is an expert in graphics design and development of tools for GPU. His current project is dedicated to real-time global illumination for dynamic scenes. The current implementation 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.

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