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University of Central Missouri
Administration 302
Warrensburg, MO 64093
Phone: 660-543-4640
Fax: 660-543-4943


UCM Named an NVIDIA CUDA Teaching Center

Contact: Jeff Murphy
WARRENSBURG, MO (Jan. 5, 2015)  -- The University of Central Missouri has been named a CUDA® Teaching Center by NVIDIA, the world leader in visual computing.  Fei Cao,  Ph.D., assistant professor of computer science, serves as the center director, and Xiaodong Yue, Ph.D., professor of computer science and chair of the Department of Mathematics and Computer Science, is the co-director.

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. CUDA enables programmers to achieve dramatic increases in computing performance by harnessing the power of NVIDIA® GPU accelerators.

CUDA Teaching Centers are recognized institutions that have integrated GPU-accelerated computing techniques into their mainstream computer programming curriculum. UCM was recognized for its commitment to advancing the state of parallel programming education.

 “We are extremely pleased that NVIDIA has named UCM a CUDA® Teaching Center. This designation is a direct reflection of the hard work of UCM’s faculty members in the Department of Mathematics and Computer Science,” said Deborah Curtis, provost and chief learning officer. “Dr. Cao and Dr. Yue and their colleagues understand the value of partnerships that will provide a strong technological learning environment for our students.” 

As part of the CUDA Teaching Center program, NVIDIA has provided GPU accelerators, supporting materials and resources to support the university’s teaching efforts. The GPUs will be installed in the university’s CUDA lab within the Department of Mathematics and Computer Science.

The Department of Mathematics and Computer Science will offer the course CS 5510 (Introduction to Parallel Computing) on a yearly basis beginning in fall 2015. It is a three-credit-hours course and will be given in the UCM CUDA Lab with remote access to the GPU cluster for CUDA C/C++ development, debugging, and experimental purposes.

“University of Central Missouri has been selected as a CUDA Teaching Center based on its commitment to advancing education on the use of parallel computing in the computer science field,” said Kimberly Powell, director of Higher Education at NVIDIA. “We look forward to working with UCM to educate the next generation of developers on NIVIDIA’s accelerated computing platform.”

 As a CUDA Teaching Center, UCM will have access to NVIDIA GPU hardware and NVIDIA parallel programming experts and resources, including educational webinars, an array of teaching materials, and access to the NVIDIA CUDA Cloud Training Program.

For additional information, contact Fei Cao, Department of Mathematics and Computer Science at 660-543-8839, or email