Purdue University named NVIDIA CUDA Research Center
January 6, 2015
WEST LAFAYETTE, Ind. - Purdue University announced that it has been named a CUDA® Research Center by NVIDIA, a global leader in visual computing.
CUDA Research Centers are institutions that embrace and utilize GPU-accelerated computing across multiple research fields. They are at the forefront of some of the world's most innovative and important scientific research. The two Purdue research teams that have received CUDA Research Center status are led by Bedrich Benes, associate professor of computer graphics technology, and Ioannis Papapanagiotou, assistant professor of computer and information technology.
The Purdue University High Performance Computer Graphics Laboratory (HPCG Lab) directed by Benes was recognized for its advanced research in geometric modeling, computational simulations and visualizations, and high-performance computing using GPU accelerators. The HPCG Lab was previously an NVIDIA CUDA Teaching Center for four years and has focused on research using GPUs to accelerate algorithms related to 3-D printing analysis, geometric modeling, motion sequence mining in large motion-capture databases, and for computational simulations and visualizations.
Papapanagiotou's research team in the Department of Computer and Information Technology has been actively involved in high-performance and parallel network processing, The Internet of Things, security, and cloud computing. Papapanagiotou's cutting-edge research will involve using a cluster of GPU accelerators and NVIDIA Tegra® K1 mobile processors to accelerate to several key algorithms.
As a CUDA Research Center, Purdue will have pre-release access to NVIDIA GPU hardware and software, the opportunity to attend exclusive events with key researchers and academics, a designated NVIDIA technical liaison, and access to specialized online and in-person training sessions.
The CUDA parallel programming model is an important element of the NVIDIA accelerated computing platform, the leading platform for accelerating data analytics and scientific computing.
Sources: Bedrich Benes, 765-496-2954, bbenes@purdue.edu
Ioannis Papapanagiotou, 765-494-4677, ipapapan@purdue.edu
