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Running Code on Clusters and Clouds

Scale up and run computationally intensive code in your existing cluster

After you integrate MATLAB® Distributed Computing Server™ with your existing cluster infrastructure, you can run parallel code in your cluster. If you need to set up your cluster, see Getting Started with MATLAB Distributed Computing Server. Then, to learn more about cluster workflows, try the examples in this section.

Examples and How To

Scale up from Desktop to Cluster (Parallel Computing Toolbox)

This example shows how to develop your parallel MATLAB® code on your local machine and scale up to a cluster.

Plot During Parameter Sweep with parfor (Parallel Computing Toolbox)

This example shows how to perform a parameter sweep in parallel and plot progress during parallel computations.

Scale Up parfor-Loops to Cluster and Cloud (Parallel Computing Toolbox)

Develop parfor-loops on your desktop, and scale up to a cluster without changing your code.


Clusters and Clouds (Parallel Computing Toolbox)

Discover cluster resources, and work with cluster profiles.

Choose a Parallel Computing Solution (Parallel Computing Toolbox)

Discover the most important functionalities offered by MATLAB and Parallel Computing Toolbox™ to solve your parallel computing problem.

Related Information