Wolfram Research (http://www.wolfram.com) has announced a technical collaboration with NVidia (http://www.nvidia.com) 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, according to Tom Wickham-Jones, Wolfram Research’s director of Kernel Technology. He adds that Nvidia’s GPU architecture can transform Mathematica’s computing, modeling, simulation, and visualization performance, boosting
speed by up to a factor of 100.

Mathematica’s CUDA GPU programming features along with its built-in examples for common application areas, such as image processing, medical imaging, statistics, and finance. Mathematica’s CUDA programming capabilities will be showcased at the GPU Technology Conference Sept. 20-23 in San Jose, California.