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NVIDIA Tesla 10 Doubles Performance for CUDA Developers

Combined, these technologies deliver a computing solution for the HPC industry.

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By DE Editors  

June 20, 2008

By DE Editors

NVIDIA Corporation (Santa Clara, CA) strengthened the CUDA and Tesla technology platforms with the introduction of its second-generation platform, the new Tesla 10 series computing solutions, at this year's International Supercomputing Conference in Germany.

With more than 60,000 downloads of the C-compiler to date, the combination of CUDA and Tesla technologies has been the foundation for industry-changing applications, says NVIDIA, claiming it is the most rapidly adopted GPU computing technology platform in the HPC community.

The new Tesla product family includes the Tesla S1070 1U computing system and the Tesla C1060 computing processor and delivers double the performance with up to 4 Teraflops per 1U system; double precision using IEEE 754 arithmetic support; double the memory with 16GB of memory per 1U system; and up to 3x the power efficiency for a more efficient computing environment.

When combined with the CUDA C-language development software for parallel computing, the new Tesla products extend the reach of GPUs to any computationally intensive applications requiring double precision accuracy.

Developers across a wide variety of fields — including financial analysis, astrophysics and seismic imaging — are leveraging NVIDIA's CUDA development tools. These developers can now simply parallelize their software and exploit the GPUs parallel computing architecture to automatically distribute computing work to hundreds of processor cores.

The Tesla S1070 1U computing system and Tesla C1060 computing processor board will be available for purchase for $7999 and $1699 respectively. These products are expected to ship in August 2008.

For the free download of CUDA, go to NVIDIA's CUDA Zone.

For more information on the Tesla 10 Series computing products, please visit NVIDIA.

 

Sources: Press materials received from the company and additional information gleaned from the company's website.

 

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