NVIDIA Launches New Research, Training and Certification Programs for Developers Focused on GPU Computing

Tuesday, June 1, 2010

New Educational Initiative Will Grow CUDA Developer Ecosystem Beyond Current 350 Universities

HAMBURG, GERMANY -- (Marketwire) -- 06/01/2010 -- ISC 2010 - The ecosystem surrounding the NVIDIA® CUDA™ architecture for parallel processing got a significant boost today with the establishment of new programs to advance the field of general-purpose computing on graphics processing units (GPGPU).

With thousands of research papers already published, and more than 350 universities teaching CUDA, a figure that has tripled over the past year, these new programs will expand the teaching and use of GPUs.

The new programs include:

  • CUDA Certification Program -- Driven by the demand for qualified GPGPU engineers, this is the first program to certify expertise in massively parallel programming on GPUs.
  • CUDA Research Centers -- This program recognizes institutions that embrace GPU Computing across multiple research fields.
  • CUDA Teaching Centers --This formally recognizes institutions that have integrated GPU Computing techniques into their mainstream computer programming curriculum.

In addition, NVIDIA is launching an all new NVResearch online portal, providing information on global research projects supported by NVIDIA, as well as details on all the education and research oriented programs run by the group.

"There are now more than 350 universities worldwide teaching the CUDA programming model within their curriculum, and more than 100,000 programmers actively developing applications that use the GPU," said Sanford Russell, general manager of CUDA & GPU Computing at NVIDIA. "These new programs will encourage this work and develop collaborations that will advance GPGPU adoption across a wide variety of industries."

The CUDA Certification program responds to the industry's demand for qualified parallel programmers. To become an NVIDIA CUDA Certified Engineer, candidates must demonstrate good working knowledge of the CUDA architecture and programming model, ability to apply CUDA constructs to common algorithmic frameworks and strong understanding of optimization techniques to get the most performance from CUDA C based code.

The CUDA Research Center program recognizes and fosters collaboration with research groups at universities and research institutes that are expanding the frontier of massively parallel computing. Among the benefits are exclusive events with key researchers and academics, a designated NVIDIA technical liaison and access to specialized online and in-person training sessions.

The CUDA Teaching Center program is the first of its kind to be developed and offered to universities and colleges by a hardware vendor. The program has many benefits, including the donation of teaching kits consisting of text books, software licenses and CUDA-enabled GPUs for teaching lab computers as well as academic discounts for additional hardware if required.

"CSIRO was one of the first supercomputing centers to combine GPUs and CPUs and run applications up to 200 times faster as a result," said Dr John Taylor, leader of the Computational and Simulation Sciences platform at CSIRO. "We are honored to be named a CUDA Research Center as we look forward to continuing to leverage our CSIRO GPU cluster. It will enable CSIRO, in a cost effective way, to be globally competitive in addressing computational challenges for 'big science.'"

The CUDA Research Center and CUDA Teaching Center programs will have global reach with institutions across Asia, Europe and North America. Already selected as CUDA Research Centers are John Hopkins University (U.S.), Nanyan University (Singapore), Technical University of Ostrava (Czech Republic), CSIRO (Australia) and SINTEF (Norway). Already selected as CUDA Teaching Centers are McMaster University (Canada), State University of New York, Postdam (U.S.), California Polytechnic State University, San Luis Obispo (U.S.), ITESM (Mexico), Czech Technical University (Czech Republic) and Qingdao University (China).

These new programs augment the existing CUDA Center of Excellence program, the elite network of ten prominent institutes focused on advancing parallel computing on the GPU. They are: Cambridge University, Chinese Academy of Sciences, Harvard University, University of Maryland, National Taiwan University, Tokyo Tech, Tsinghua University, University of Illinois at Urbana-Champaign, University of Tennessee and University of Utah.

For more information on NVIDIA research activities and these new programs, visit the NVResearch site.

NVIDIA (NASDAQ: NVDA) awakened the world to the power of computer graphics when it invented the GPU in 1999. Since then, it has consistently set new standards in visual computing with breathtaking, interactive graphics available on devices ranging from tablets and portable media players to notebooks and workstations. NVIDIA's expertise in programmable GPUs has led to breakthroughs in parallel processing which make supercomputing inexpensive and widely accessible. The company holds more than 1,100 U.S. patents, including ones covering designs and insights which are fundamental to modern computing. For more information, see www.nvidia.com.

Certain statements in this press release including, but not limited to, statements as to: the intent, benefits and impact, of the new NVIDIA CUDA programs; 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: development of more efficient or faster technology; design, manufacturing or software defects; the impact of technological development and competition; changes in consumer preferences and demands; customer adoption of different standards or our competitor's products; 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 including its Form 10-Q for the fiscal period ended May 2, 2010. Copies of reports filed with the SEC are posted on our 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.

© 2010 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.

For more information, contact: Andrew Humber NVIDIA Corporation (408) 416 7943 ahumber@nvidia.com

NVIDIA (NASDAQ: NVDA) is the AI computing company. Its invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. More information at http://nvidianews.nvidia.com/. 
© 2019 NVIDIA Corporation. All rights reserved. NVIDIA and the NVIDIA logo 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.

Media Contacts

Hector Marinez
Andrew Humber
Close Menu