Overview of how to run MATLAB code on an NVIDIA CUDA-enabled GPU (Graphics Processing Unit)
|10 Sep 2011||John Melonakos||
For classroom materials describing GPU computing in MATLAB with Jacket, visit: http://www.accelereyes.com/support/lectures
|9 Sep 2011||MathWorks Classroom Resources Team||
This article gives an overview of how to use MATLAB with Parallel Computing Toolbox to program a CUDA-enabled NVIDIA General Purpose Graphics Processing Unit (GPGPU).
|8 Sep 2011||Linda Webb||
Multicore machines and hyper-threading technology have enabled scientists, engineers, and financial analysts to speed up computationally intensive applications in a variety of disciplines. Today, another type of hardware promises even higher computational performance: the graphics processing unit (GPU).