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Harvard Recognized as a CUDA Center of Excellence for Its Pioneering Work Using GPU ComputingFor further information, contact:
(408) 486 8138
FOR IMMEDIATE RELEASE:
SANTA CLARA, CA—APRIL 2, 2009—NVIDIA Corporation, inventor of the GPU, today announced that Harvard University has been recognized as a CUDA Center of Excellence for its commitment to teaching GPU Computing and its integration of CUDA™-enabled GPUs for a host of science and engineering research projects. The honor complements a prior $2M grant the University received from the National Science Foundation (NSF) for the development of GPU-enabled computational science.
CUDA is NVIDIA’s computing architecture that enables its GPUs to be programmed using industry standard programming languages, opening up their massive parallel processing power to a broad range of applications beyond graphics.
“With interest in the CUDA architecture spreading rapidly across the Harvard campus and the lively scientific landscape in Boston, there has never been a better time to announce this partnership,” said Hanspeter Pfister, Gordon McKay Professor of the Practice of Computer Science in Harvard’s School of Engineering and Applied Sciences and Director of Visual Computing at the Harvard Initiative in Innovative Computing. “This generous gift from NVIDIA will provide excellent learning opportunities for Harvard students, accelerate our research and expand the use of GPUs for computing in science and other advanced applications.”
Pfister, who is teaching a new course related to heterogeneous computing, added, “My course is designed to respond to the growing interest in GPU programming in the world of science. We look forward to taking advantage of the new teaching cluster and CUDA environment - these new assets will provide exciting opportunities for our students and the surrounding technical community.”
Harvard is already using GPUs to carry out research across fundamentally important areas such as decoding the intricate structure of the human brain (Connectome project), discovering the origins of the universe (MWA telescope project) and studying the quantum chemistry of molecules (Qchem project).
“Naming Harvard as a CUDA Center of Excellence is a formal recognition of the strong academic collaboration between the University and NVIDIA,” said Bill Dally, chief scientist at NVIDIA. “Harvard will include the CUDA architecture in its curricular offerings. Researchers will use CUDA in projects at Harvard and in collaborative ventures with faculty at Boston University, to bring GPU computing to scientists and engineers throughout the Boston academic epicenter.”
Boston University, where physicists are using GPU computing to probe the subatomic structure of matter, is recognized as a Founding Partner in the CUDA Center of Excellence.
For more information on NVIDIA and CUDA, visit www.nvidia.com and CUDA Zone at www.nvidia.com/cuda. For more information about Harvard University and the School of Engineering and Applied Sciences visit www.harvard.edu and www.seas.harvard.edu.
NVIDIA (Nasdaq: NVDA) is the world leader in visual computing technologies and the inventor of the GPU, a high-performance processor which generates breathtaking, interactive graphics on workstations, personal computers, game consoles, and mobile devices. NVIDIA serves the entertainment and consumer market with its GeForce® products, the professional design and visualization market with its Quadro® products, and the high-performance computing market with its Tesla™ products. NVIDIA is headquartered in Santa Clara, California, and has offices throughout Asia, Europe, and the Americas. For more information, visit www.nvidia.com.
Certain statements in this press release including, but not limited to, statements as to: the CUDA Center of Excellence Program; the benefits of the relationship between NVIDIA and Harvard University; and the performance, impact and benefits of CUDA technology; 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-K for the fiscal period ended January 25, 2009. 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.
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