NVIDIA CUDA Recognized with Supercomputing Industry Awards
NVIDIA CUDA provides access to the massively parallel processing architecture of the GPU through industry languages such as C, Fortran, Java, and Python.
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December 12, 2008
By DE Editors
Every year at the Supercomputing (SC08) convention, (held in Austin, TX, in Nov. 2008) the organizing committee and media partners award outstanding high-performance computing (HPC) research and achievements.
This year, NVIDIA Tesla GPUs and the NVIDIA CUDA architecture from NVIDIA (Santa Clara, CA) were recognized in multiple categories, which NVIDIA says indicates the significant impact that that GPU computing technology is making in the HPC industry.
NVIDIA CUDA technology continues to transform the HPC industry through providing scientists, researchers, engineers, and developers with access to the massively parallel processing architecture of the GPU through industry languages such as C, Fortran, Java, and Python.
For more information on NVIDIA Tesla products, please visit NVIDIA.
Sources: Press materials received from the company and additional information gleaned from the company’s website.
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DE’s editors contribute news and new product announcements to Digital Engineering.
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