Mathematica and NVIDIA in Action: See Your GPU in a Whole Different Light
September 14, 2010 — Angela Sims, Government Account Executive, Government Sales
CUDA is NVIDIA’s performance computing architecture that harnesses modern GPU’s potential. The new partnership means that if you have GPU-equipped hardware, you can transform Mathematica‘s computing, modeling, simulation, or visualization performance, boosting speed by factors easily exceeding 100. Now that’s fast!
Afraid of the programming involved? Don’t be. Mathematica‘s new CUDA programming capabilities dramatically reduce the complexity of coding required to take advantage of GPU’s parallel power. So you can focus on innovating your algorithms rather than spending time on repetitive tasks, such as GUI design.
As Wolfram Research Senior Kernel Developer Ulises Cervantes-Pimentel reveals in this video, your GPU isn’t just for video games anymore.
If you find yourself near San Jose, California the week of September 20, stop by the GPU Technology Conference 2010. Ulises will host a talk about GPU programming in Mathematica on the 21st, and you can visit us in booth #31 during the conference.