Silvina Grad-Freilich, Manager of Parallel-Computing Marketing at MathWorks, talks to Technology Editor Bill Wong about Matlab and GPU support. GPUs are ubiquitous and fast. They have transformed ...

Suppose you really want to run a (2D) turbulence simulation but don't have access to C, Fortran, Julia, Python etc. It turns out that MATLAB is actually surprisingly fast when running on a GPU and ...

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

promising power of GPUs with MATLAB. GPUArrays and GPU-enabled MATLAB functions help you speed up MATLAB operations without low-level CUDA programming. If you are already familiar with programming for ...

NATICK, Mass. - Sep 20, 2010 -- Today at the GPU Technology Conference (GTC), MathWorks announced support for NVIDIA graphics processing units (GPUs) in MATLAB applications using Parallel Computing ...

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. “MATLAB is used by ...

Volume Renderer for use with MATLAB® extends MATLAB® by a GPU-accelerated volume render command that handles 3D volumetric data. The core application is implemented in C/C++. To guarantee fast ...

Abstract: 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 ...

AccelerEyes announced yesterday a new beta release of their software, Jacket. John Melonakos, CEO of AccelerEyes, sent me an email about the announcement and the product Jacket is a GPU engine for ...

MathWorks has announced support for NVIDIA graphics processing units (GPUs) in MATLAB applications using Parallel Computing Toolbox or MATLAB Distributed Computing Server. This support enables ...