MATLAB® Distributed Computing Server™ 3.3

Product Description

• Introduction and Key Features
• Using MATLAB® Distributed Computing Server™
• Licensing
• Requirements and Installation
• Administering Clusters

Requirements and Installation

Hardware and Software Support

MATLAB Distributed Computing Server can be installed on any hardware platforms and operating systems that MATLAB and Simulink support. It can be used with heterogeneous hardware and operating systems in a cluster and can execute any code that uses toolboxes and blocksets for which the user is licensed, with the exception of those on the list of ineligible products.

Multiple MATLAB Distributed Computing Server workers can be launched on a single computer, including a user's workstation. However, the benefits of concurrent execution accrue only with sufficient availability of RAM and enough processing cores on that computer. The recommendation is to run one worker per processing core.

Supported Schedulers

MATLAB Distributed Computing Server can be integrated with the MathWorks job manager or any third-party scheduler. The MathWorks job manager is intended for personal or small workgroup clusters that run MATLAB jobs exclusively. Utilities available with the MATLAB Distributed Computing Server let you configure, launch, and monitor services associated with the job manager and help troubleshoot configuration and networking problems.

Third-party schedulers are supported at two levels. For the directly supported schedulers Platform LSF, Windows Compute Cluster Server, PBS Pro, and TORQUE, the necessary integration scripts are available with the product. Other schedulers can be integrated using a generic interface. For both directly and indirectly supported schedulers, applications are launched and executed as any other programs that run on the cluster.

Learn more about scheduler support and integration

Installation and Configuration

Installation of the MATLAB Distributed Computing Server and setup of a cluster require administrator privileges. Detailed instructions for configuring the installation, including customizations for operating systems and integration with various schedulers, are available online.

Learn how to set up the product on a cluster