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Scale MATLAB and Simulink on Clusters and in the Cloud

Run compute-intensive MATLAB applications and Simulink simulations on clusters and clouds

You can prototype and debug applications on the desktop with Parallel Computing Toolbox™ and easily scale to clusters and clouds with MATLAB Parallel Server™ and minimal code change. MATLAB Parallel Server supports both interactive and batch workflows to leverage your cluster hardware.

Through MATLAB^® and Parallel Computing Toolbox, users in your organization can submit jobs to computational resources configured with MATLAB Parallel Server without being concerned about differences in operating systems, environments, and schedulers. MATLAB Parallel Server integrates MATLAB and Simulink^® with existing scheduler environments at the application layer.

“Our processing times went from 24 hours to 3 when we started running on the Azure cloud with MATLAB Parallel Server … Because the job scheduler is integrated into MATLAB, it’s easy to take advantage of parallel computing just by opening a pool and using parfor loops.”
James Mann, Aberdeen Asset Management

MATLAB Parallel Server Licensing

MATLAB Parallel Server is licensed separately from MATLAB. It is licensed based on the number of MATLAB computational engines (workers) running simultaneously. For each MATLAB computational engine launched by the scheduler, a worker is checked out from the license. License size is determined by the number of workers you need to run simultaneously. The licensing model includes features to support unlimited scaling.

End users are automatically licensed on the cluster for the bat365^® products they use on the desktop. The cluster requires only a MATLAB Parallel Server license.

MATLAB Parallel Server can be used with a network license manager, or with online licensing, which is convenient for the cloud and for personal clusters.

To assess your license needs, select one of the options below:

Campus-Wide Licensing

MATLAB Parallel Server Campus-Wide Licensing provides faculty and students with unlimited scaling on clouds and university-owned clusters. Your campus might already have access to ready-to-use resources and if not, bat365 Cloud Center provides access to the cloud.

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Annual, 90-day, and Perpetual Licensing

This license is for standard and academic customers who are not part of an enterprise or Campus-Wide agreement and have sustained need for scaling.

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On-Demand Licensing

This license is for standard and academic customers who are not part of an Enterprise or Campus-Wide agreement and have short-term needs for smaller scaling.

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MATLAB Parallel Server Supported Environments

MATLAB Parallel Server can be used in a variety of environments. Use the following table to determine which option is best for you.

Cluster Environment Option	Effort Required for Set Up	Initial Set Up for Each New Cluster	Supported Job Schedulers	License Manager Support*
bat365 Cloud Center Personal or shareable cloud clusters	Low	Set up with web application or in MATLAB	MATLAB Job Scheduler	Online licensing
bat365 Reference Architecture for Cloud Ready to use cloud implementation examples	Medium	Set up with templates	MATLAB Job Scheduler	Online licensing, Network license manager
Dedicated Clusters for MATLAB Personal clusters, group clusters, departmental clusters	Medium	Installation and configuration of software and scheduler	MATLAB Job Scheduler	Network license manager, Online licensing
General Purpose Clusters and Custom Clouds HPC centers and organizational clusters	High	Installation of software and integration with existing scheduler	Supported third-party schedulers (e.g., Slurm, PBS Family, etc.)	Network license manager, Online licensing
Clusters Set Up by bat365 Partners	Low	Handled by partner	MATLAB Job Scheduler, Supported third-party schedulers	Network license manager, Online licensing

All licensing options mentioned above will work with any cluster environment options in the table. If you use online licensing, you must link your bat365 Account to the license.

*Note: If multiple license manager options are listed, the first option is recommended.

If you have any questions regarding set up, contact Support.

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