Silvina Grad-Freilich, Manager of Parallel-Computing Marketing at MathWorks, talks to Technology Editor Bill Wong about Matlab and GPU support.

John Melonakos, CEO and Co-Founder of AccelerEyes, talks with Technology Editor Bill Wong about Matlab and GPU acceleration technology.

Lots of toolboxes of accelerating MatLab using GPU are available now[1], but, users are confused by which toolbox is best suitable for a particular task. Three toolboxes-Jacket, GPUmat, and Parallel ...

Jacket is a GPU engine for MATLAB. Jacket enables standard MATLAB code to run on the GPU, connecting the user-friendliness of MATLAB directly to the speed and visual computing capability of the GPU.

Three different ways of speeding up the algorithm using GPU hardware are provided along with a normal CPU-only version. Have a look at the code for these to get a feeling for how MATLAB's GPU support ...

This repository provides MATLAB code for performing 2D convolution using Python. It demonstrates four different methods for convolution, including both CPU and GPU implementations.

During the Nvidia GTC 2010 Keynote, CEO Jen-Hsun Huang announced that MATLAB and Amber (PMEMD) are capable of receiving CUDA acceleration using the power of Fermi-based GPUs.

Lots of toolboxes of accelerating MatLab using GPU are available now[1], but, users are confused by which toolbox is best suitable for a particular task. Three toolboxes-Jacket, GPUmat, and Parallel ...