DRESDEN, GERMANY – JUNE 17, 2008 – From video encoding to oil and gas exploration and from medical imaging to scientific research, thousands of CUDA developers in the high performance computing (HPC) community are leveraging a revolutionary GPU computing platform that was announced just one year ago. With over 60,000 downloads of the C-compiler to date, the combination of CUDA and Tesla technologies have been the foundation for industry changing applications, making it the most rapidly adopted GPU computing technology platform in the HPC community.

“GPU Computing is coming at a time when we are running out of gas for time-critical forecasts on conventional clusters,” says National Center of Atmospheric Research’s John Michalakes, lead software developer for the Weather Research & Forecasting Model “We aim to cut the time for a forecast by at least a factor of two as we incorporate NVIDIA’s GPU computing technology into more of WRF. I expect the affect of accelerators in weather and climate modeling will be transformative.”

This year at the International Supercomputing Conference, NVIDIA Corporation, the leader in GPU technologies, has strengthened the CUDA and Tesla technology platforms with the introduction of its second-generation platform, the new Tesla 10 series computing solutions. Binary compatible and supporting the industry standard language of C, the new products enable developers to solve their computational challenges in a common and familiar development environment that scales effortlessly from one generation to the next with no re-coding required.

“The path to great discovery is filled with many challenges and for today’s scientists, engineers and researchers, in fields such as drug research, seismic exploration or medical science, one of the biggest challenges is computation,” said Jen-Hsun Huang, president and CEO of NVIDIA. “The GPU is taking high performance computing in a fundamentally new direction. Now, hundreds of processor cores are able to work together to give scientists and engineers massive jumps in performance, while dramatically reducing the footprint in their datacenter.”

The new Tesla product family includes the Tesla S1070 1U computing system and the Tesla C1060 computing processor and delivers:

  • Double the performance: up to 4 Teraflops per 1U system
  • Double precision: IEEE 754 arithmetic support
  • Double the memory: with 16 Gigabytes of memory per 1U system
  • Up to 3x the power efficiency: for a more efficient computing environment