Wolfram Research has announced a technical collaboration with Nvidia to integrate GPU acceleration into Mathematica 8. Combining Mathematica's programming ease-of-use with the computational speed of the GPU-equipped hardware dramatically increases application performance and user productivity across industry, research, and education.
Nvidia's GPU architecture can transform Mathematica's computing, modelling, simulation, and visualisation performance, boosting speed by up to a factor of 100. Mathematica's intuitive Cuda GPU programming features along with its built-in ready-to-use examples for common application areas, such as image processing, medical imaging, statistics, and finance, make these performance gains easily accessible.
'Mathematica users with GPU-enabled systems from laptops to high-end Tesla super-computers will now be able to perform complex, data-intensive computations much more easily,' said Andrew Cresci, general manager of vertical marketing solutions at Nvidia.