Chinese Ministry of Education to Integrate CUDA Programming Curriculum in Universities Nationwide
Underscores Growing Importance of GPU-based Parallel Computing Skills For Tomorrow’s Computing and Science Professionals
For more information, contact:
BEIJING — GTC ASIA — Dec 14, 2011 — NVIDIA today announced that the Chinese Ministry of Education is planning to offer NVIDIA® CUDA® architecture -focused programming courses at potentially hundreds of universities nationwide beginning in the second half of 2012, resulting in up to 20,000 students being trained annually on the best CUDA and parallel-programming practices.
NVIDIA worked closely with the Ministry’s National High-Quality Course Resource Center to develop the new course, entitled “GPU-Based Parallel Computing.” It has been designed to help students master all aspects of parallel programing on heterogeneous and GPU-based computing systems, and apply this knowledge to a range of scientific and engineering disciplines.
“In the era of knowledge economy, technology education is critical in building students’ competitiveness in a global environment,” said Mr. Li Maoguo, division director of the higher education bureau, Chinese Ministry of Education. “We encourage universities and colleges to learn from industry enterprises about their leading technologies, and to cooperate with them to produce more curriculums of excellence. This will cater to the higher-education objective of supplying more capable talent for the development of contemporary Chinese society.”
The goal of the CUDA programming course is to help students develop a solid background on parallel computing, as well on algorithm and program design that solve real-world problems. It will cover a range of parallel programing concepts, including GPU hardware configurations, programming models, memory models, application acceleration, data-level parallel algorithms, and parallel complexity analysis.
“The practice of developing curriculum jointly between CNCRC and NVIDIA meets the ongoing requirement of reforming Chinese education, and sets an example by introducing parallel computing computer education discipline,” said Mr. Wang Hongyu, deputy director of the China National Curriculum Resource Center. “This curriculum will play a profound role in enhancing students’ ability in the current competitive job market. Meanwhile, this joint-effort is one of CNCRC’s most important pilot projects whose vision is to develop curriculums of excellence of diversified industries.”
“Already being the most powerful computing device, the GPU is revolutionizing the landscape of today’s computing,” said Deng Yangdong, associate professor of Institute of Microelectronics at Tsinghua University. “Its wide availability combined with the easy-to-use CUDA parallel programming model enables us to teach tomorrow’s engineers and researchers on how to deliver a new wave of innovations by unleashing the power of modern parallel processors.”
Chang'an University, located in Xi’an, is among the first Chinese universities to offer the new CUDA programming curriculum as an optional course for students in computer science, electronic engineering and related fields. Other institutions expected to begin offering the course in the spring term next year include Tsinghua University, and South China University of Technology. It is expected to be widely available in universities nationwide in the second term in 2012.
“Academic, engineering and scientific professionals are increasingly leveraging GPU computing to drive research and discovery across a broad range of fields,” said David Luebke, director of research at NVIDIA. “We expect the adoption of parallel programing to continue growing exponentially worldwide in the coming years, and courses like this are vital to the next wave of programmers. NVIDIA will continue to work with the National High-Quality Course Resource Center to add a range of new CUDA and GPU computing courses for Chinese educators in the future.”
CUDA is NVIDIA’s parallel computing architecture, which enables dramatic increases in computing performance by harnessing the power of GPUs. NVIDIA CUDA GPUs support all GPU computing programming models, APIs, and languages, including CUDA C/C++/Fortran, OpenCL, DirectCompute, and the recently announced Microsoft C++ AMP. More than 470 universities and institutions worldwide teach the CUDA programming model within their curriculum. For more information on NVIDIA CUDA technology visit the CUDA web site.
For more NVIDIA news, company and product information, videos/images, and other information, visit the NVIDIA newsroom.
Certain statements in this press release including, but not limited to statements as to: the impacts and benefits of the NVIDIA CUDA architecture; the teaching of educational curriculum based on the NVIDIA CUDA architecture by universities and institutions; and the effects of the company’s patents on modern computing are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the reports NVIDIA files with the Securities and Exchange Commission, or SEC, including its Form 10-Q for the fiscal period ended July 31, 2011. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.
# # #
© 2011 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, and CUDA are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability, and specifications are subject to change without notice.