Based on its leadership in high performance computing, Purdue University has been named a CUDA® Research Center by NVIDIA. The designation includes special benefits to two professors in the College of Technology, their research teams and their students.
The Purdue University High Performance Computer Graphics laboratory (HPCG), led by Bedrich Benes, associate professor of computer graphics technology, was recognized for its advanced research in geometric modeling, computational simulations and visualizations, and high performance computing using graphics processing unit (GPU) accelerators. HPCG was previously a CUDA Teaching Center for four years and has focused on research using GPUs to accelerate algorithms related to 3D printing analysis, geometric modeling, motion sequence mining in large motion capture databases, and for computational simulations and visualizations.
Ioannis Papapanagiotou, assistant professor of computer and information technology, has been actively involved in high performance and parallel network processing, the Internet of things, security, and cloud computing. He plans on using a cluster of GPU accelerators and NVIDIA Tegra K1 mobile processors to accelerate several key algorithms in his research.
As a CUDA Research Center, Purdue University 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.
About NVIDIA and CUDA
NVIDIA, the world leader in visual computing, is the inventor of CUDA, a parallel computing platform and programming model that enables dramatic increases in computing performance (such as data analytics and scientific computing) by harnessing the power of NVIDIA® GPU accelerators. CUDA Research Centers are institutions that embrace and utilize GPU computing across multiple research fields.