SANTA CLARA, CA -- NVIDIA today announced the addition of 35 new CUDA Research Centers and CUDA Teaching Centers in 14 countries, further advancing the growth of parallel computing across the globe.
More than 400 universities are now teaching parallel programming using GPUs (graphics processing units) based on NVIDIA® CUDA® architecture, empowering the tens-of-thousands of students graduating each year with the knowledge and expertise to leverage the immense parallel processing power of GPUs. The 35 new centers supplement the wide number of institutions already using GPUs to address today's most challenging computing issues, and drive the next wave of scientific discovery across multiple fields.
CUDA Research Centers are recognized institutions that embrace and utilize GPU computing across multiple research fields. They are at the forefront of some of the world's most innovative and important scientific research. Examples of CUDA-related work taking place at the new centers include:
Other new CUDA Research Centers include:
CUDA Teaching Centers have integrated GPU computing techniques into their mainstream computer programming curriculum. New ones include:
The CUDA Research Center Program fosters collaboration at institutions that are expanding the frontier of 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 program of its kind to be developed and offered to universities and colleges by a hardware vendor. Among the program's benefits is the donation of teaching kits, including textbooks, software licenses and NVIDIA CUDA architecture-enabled GPUs for teaching lab computers, as well as academic discounts for additional hardware, if required.
For more information on NVIDIA research activities and these programs, please visit the NVResearch site.
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Certain statements in this press release including, but not limited to statements as to: the features, capabilities and impact of NVIDIA CUDA architecture and NVIDIA GPUs; the benefits and impact of The CUDA Research Center Program; 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-K for the fiscal year ended January 30, 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.
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