Mathworks provides GPU support for Matlab

Faster computing with nvidia gpu through parallel computing toolbox




Beijing, China-July 22, September 25, 2010-recently at the GPU Technology Conference (GTC), Mathworks announced its use
Parallel Computing toolbox or Matlab distributed computing Server
Provides NVIDIA graphics processor (GPU) support in MATLAB applications. This support enables engineers and scientists to speed up a variety of MATLAB
Computing speed, without the need to execute underlying programming.

More and more engineers and scientists are now using MATLAB to use NVIDIA GPUs that support cuda, including Fermi-based
The latest Tesla 20 series GPU. Parallel Computing toolbox allows you to skip Cuda Learning
You can access the NVIDIA Cuda library by programming or making significant changes to your application.

Silvina grad-freilich, marketing manager of parallel computing at Mathworks, said: "Matlab
Easy to use, it enables engineering and scientific communities to quickly use GPU for scientific computing. Mathworks supports nvidia gpu with Cuda for the first time, which enables
MATLAB users can use GPU to greatly speed up their applications. Parallel Computing toolbox enables MATLAB
Engineers and Scientists only need a small amount of programming to access all the computing resources open to them, from the local desktop multi-core and GPU to the cluster and grid, and so on ."

The GPU was originally designed for graphic rendering in the image-intensive video game industry. However, in recent years, the GPU has been growing and can be used for a wider range of purposes. Researchers can program it to perform computation and complex graphic effects for data analysis, data visualization, financial modeling, biological modeling, and other applications.

"Matlab is a basic tool in the toolbox for engineers and scientists," said sumit Gupta, Senior Manager of Tesla product at NVIDIA. GPU enables MATLAB users to accelerate various applications, which provides the foundation for breakthrough innovations in engineering and science applications ."

MATLAB users can use the parallel computing toolbox provided by Mathworks to easily accelerate code with GPU computing features.