You can run your parallel applications interactively or in batch. Converting serial MATLAB applications to parallel MATLAB applications generally requires few code modifications and no programming in a low-level language is necessary. Parallel processing operations such as parallel for-loops and message-passing functions let you implement task- and data-parallel algorithms in MATLAB. It lets you solve computationally intensive and data-intensive problems using MATLAB more quickly - on your local multicore computer or on RCS‘s Shared Computing Cluster. The Parallel Computing Toolbox (PCT) is a MATLAB toolbox. While this information is not incorrect, it is outdated for newer versions of MATLAB (for example pmode is now a deprecated feature that will be removed in future MATLAB versions).įor up to date documentation refer to the MathWorks “Parallel Computing Toolbox” documentation pages. Note: This documentation is for older versions of MATLAB (circa 2010-2014 versions).
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