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[NVIDIA] NVIDIA appoints first 'CUDA Center of Excellence'

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SANTA CLARA, CA & URBANA, IL—JUNE 30, 2008—NVIDIA Corporation (Nasdaq: NVDA), the worldwide leader in visual computing technologies, and the University of Illinois at Urbana-Champaign (UIUC) today announced that UIUC has been named as the world’s first CUDA Center of Excellence. In addition to the appointment, NVIDIA has donated $500,000 to UIUC for the development of parallel computing facilities and the continuation of its research programs.

“The CUDA Center of Excellence program rewards schools that truly embrace the concept of parallel processing as the future of computing,†said Dr. David Kirk, chief scientist at NVIDIA. “Schools receiving this accreditation integrate the CUDA software environment into their curriculum to help their students harness the capabilities of these new parallel processing architectures. As one of the country’s leading schools in this field, I am personally delighted to appoint UIUC as our first CUDA Center of Excellence.â€

The Theoretical and Computational Biophysics Group at UIUC was one of the first research groups to leverage the parallel architecture of the GPU to accelerate their research in the field of computational biophysics. They have successfully accelerated NAMD/VMD – a popular parallel molecular dynamics application that analyzes large biomolecular systems. It is hoped that this donation will aid this group, and others at the university, to further their work and speed them down the path to great discovery.

“We’re very excited to partner with NVIDIA and anticipate that together we will achieve breakthroughs in biomedicine, leading to a better understanding of disease and more effective treatments,†said Klaus Schulten, Swanlund Professor of Physics and director of the Theoretical and Computational Biophysics Group at Illinois (www.ks.uiuc.edu). “This generous gift will be a great stimulus for Illinois' team of outstanding young programmers. It will help to extend their ranks and equip them with the necessary tools to advance computing in decades to come.â€

Universities wishing to become CUDA Centers of Excellence must teach a CUDAâ„¢ class and use CUDA technology in their research, usually across several labs. In return, NVIDIA supports the school through funding and equipment donations, including help to set up a GPU computing cluster. The appointment of UIUC follows on from the donation last year of 32 QuadroPlex model 4 systems, containing 64 GPUs for a 16-node CUDA technology cluster. The cluster, that has an $800K value, is administered by NCSA (www.ks.uiuc.edu).

The Principal Investigator of the first CUDA Center of Excellence is Prof. Wen-mei Hwu, Sanders-AMD Endowed Chair in Electrical & Computer Engineering at Illinois. Prior to this appointment, Prof. Hwu and Dr. Kirk collaborated to teach one of the nation’s first courses for advanced students in massively parallel processing (http://courses.ece.uiuc.edu/ece498/al1/). According to Hwu, “Future increases in computational performance are directly rooted in massively parallel hardware such as many-core GPUs. The biggest challenge today is in parallelizing code to take advantage of the hardware most successfully. NVIDIA’s groundbreaking CUDA solution is a significant step in this direction. We are very proud to host the first CUDA Center of Excellence at Illinois and to be able to partner with an industry leader like NVIDIA as we move forward.â€

NVIDIA® CUDA technology is an award-winning C-compiler and software development kit (SDK) for developing computing applications on graphics processing units (GPUs).
http://www.nvidia.com/object/io_1214807636303.html
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In the latest effort to encourage development using its CUDA general-purpose GPU programming interface, Nvidia has donated $500,000 to the University of Illinois at Urbana-Champaign (UIUC). This donation comes with the title, "CUDA Center of Excellence," which Nvidia says UIUC is the first to receive.

This isn't Nvidia's first donation to UIUC. Last year, the company gave the university an $800,000 CUDA cluster made up of 32 QuadroPlex model 4 systems each containing two graphics processors. Nvidia donated the system to support UIUC's Theoretical and Computational Biophysics Group, which it says was "one of the first research groups to leverage the parallel architecture of the GPU to accelerate their research in the field of computational biophysics."

Other universities may be able to benefit from the same perks, too. According to Nvidia, a university can become a CUDA center of Excellence by teaching a CUDA class and using CUDA technology for research, "usually across several labs." Nvidia vows to support schools that do so with funding and equipment, "including help to set up a GPU computing cluster."
http://techreport.com/discussions.x/15032
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whatthehell?

Nvidia.... spend your money in R&D, not in programs to try to make your old cards look good >.>
    
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post #3 of 3
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Originally Posted by Turnoz View Post
whatthehell?

Nvidia.... spend your money in R&D, not in programs to try to make your old cards look good >.>
R&D is worthless if no one actually uses the features you develop.
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