README.md Parallel Computing Toolbox plugin for MATLAB Parallel Server with HTCondor Parallel Computing Toolbox™ provides the Generic cluster type for submitting MATLAB® jobs to a cluster running a ...

This article provides an effective way to alleviate the long running defect of multi-objective intelligent optimization algorithms and enhance its ability to solve the robust optimization (RO) design.

Several examples showing the use of multi‐cores and multi‐GPUs within MATLAB are presented. Speed up factor for a parallel FDTD code reaches 10 times when using multi‐cores, and 70 times when using 2 ...

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 ...

The Mathworks has released a new version of its Parallel Computing Toolbox, said to have an improved distributed array construct. The Mathworks says Matlab users can now directly access and manipulate ...

Argonne used Parallel Computing Toolbox with PSAT to execute simulations on a 16-node cluster—reducing the overall run time from two weeks to one day. Using MATLAB Distributed Computing Server ...

In this slidecast, Silvina Grad-Frelich from MathWorks discusses how Lund University used MATLAB, Neural Network Toolbox, Parallel Computing Toolbox, and MATLAB Distributed Computing Server to improve ...

Describe the example The MATLAB doc says in this example that it you would give a 10x performance improvement if data is cast using "gpuArray-single", which uses MATLAB Parallel Computing Toolbox. Is ...

Faster computations achieved with access to NVIDIA GPUs via Parallel Computing Toolbox NATICK, Mass. - Sep 20, 2010 -- Today at the GPU Technology Conference (GTC), MathWorks announced support for ...