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After that, use the Parallel Computing Toolbox or the MATLAB Parallel Server to create and manage parallel workers, pools, and clusters. Then, use the parfor, spmd, or parfeval commands to execute ...

Abstract: 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 ...

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 ...

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 ...

NATICK, USA: The MathWorks announced the integration of its Parallel Computing Toolbox with its MATLAB optimization toolboxes to help further simplify the development of parallel applications ...

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