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


Examples and How To


  • 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.

Reference Architectures


Related Info

  • Get Started with Parallel Computing Toolbox (Parallel Computing Toolbox)
    Parallel Computing Toolbox lets you solve computationally and data-intensive problems using multicore processors, GPUs, and computer clusters. High-level constructs—parallel for-loops, special array types, and parallelized numerical algorithms—enable you to parallelize MATLAB applications without CUDA or MPI programming. The toolbox lets you use parallel-enabled functions in MATLAB and other toolboxes. You can use the toolbox with Simulink® to run multiple simulations of a model in parallel. Programs and models can run in both interactive and batch modes.
  • Scaling to clusters and cloud