Posted on Tuesday, November 18 2008 @ 16:18 CET by Thomas De Maesschalck
NVIDIA announced at SC08 that Wolfram Research will release a new version of Mathematica that takes advantage of NVIDIA's CUDA technology to deliver performance increases of 10-100x in numerical computing, modeling, simulation and visual computations. Mathematica is used by over 3 million professionals.
This new version is expected to give Mathematica users an unprecedented performance increase of 10-100X in numerical computing, modeling, simulation and visual computations, without the need to learn or write C code.
"Since its initial release, Mathematica has been adopted by over 3 million professionals across the entire global technical computing community, and it has had a profound effect on how computers are used across many fields," said Joy Costa, director of global partnerships at Wolfram Research. "The prospect of a hundred fold increase in Mathematica 7 performance is staggering. CUDA enabled Mathematica will revolutionize the world of numerical computation."
"With Mathematica 7, researchers and scientists can easily tap the enormous parallel processing power of NVIDIA GPU's through a familiar high level interface," said Andy Keane, general manager of the GPU Computing business at NVIDIA. "This is truly transformative, giving Mathematica users computational horsepower like never before and reducing computation time in some cases from days to a matter of minutes."
The demonstration of the CUDA-accelerated release of Mathematica coincides with the launch of the NVIDIA(R) Tesla(TM) Personal Supercomputer at this year's SC08. Priced in the range of traditional PC workstations, Tesla Personal Supercomputers are unrivalled in price and performance. Available in configurations of up to 4 Tesla GPUs in a single system, Tesla Personal Supercomputers deliver up to 4 Teraflops of computing performance from up to 960 parallel processing cores.
With desktop systems based on Tesla GPUs, Mathematica users will be able to perform complex, data-intensive computations right at their desk, negating the need to write native C programs or wait for time on a public cluster, a process which can often take days or even weeks.
The CUDA accelerated version of Mathematica is expected to be available in Q1 2009.
