MATLAB® Distributed Computing Server™ lets you run computationally intensive MATLAB programs and Simulink® models on computer clusters, clouds, and grids, enabling you to speed up computations and solve large problems. You develop your program or model on a multicore desktop computer using Parallel Computing Toolbox and then scale up to many computers by running it on MATLAB Distributed Computing Server. The server supports batch jobs, parallel computations, and distributed large data. The server includes a built-in cluster job scheduler and provides support for commonly used third-party schedulers.
MATLAB Distributed Computing Server enables you to run your programs and models on a cluster without having to acquire additional MathWorks® product licenses for each computer in the cluster.
Learn the basics of MATLAB Distributed Computing Server
Set up nodes and start processes to support parallel computing according to scheduler type
Customize optional settings for clusters that use a MATLAB job scheduler (MJS)
Scale up and run computationally intensive code in your existing cluster
Resolve unexpected issues in MATLAB Distributed Computing Server