Parallel Computing Toolbox™ 3.3

Product Description

• Parallel Computing Toolbox Key Features
• Programming Task-Parallel Applications
• Programming Data-Parallel Applications
• Working in an Interactive Parallel Environment
• Working in a Batch Environment
• Scaling to a Cluster Using MATLAB® Distributed Computing Server™

Scaling to a Cluster Using MATLAB® Distributed Computing Server™

Parallel Computing Toolbox provides the ability to use up to four local workers on a multicore or multiprocessor computer using a single toolbox license. When used together with MATLAB Distributed Computing Server, you can scale your application to use more than four workers running on any number of computers. MATLAB Distributed Computing Server supports both interactive and batch work flows.

MATLAB Distributed Computing Server supports several schedulers: the MathWorks™ job manager (provided with the product) or any other third-party scheduler such as Platform LSF®, Microsoft® Windows® Compute Cluster Server, PBS Pro®, and TORQUE.

Using the Configurations Manager in the toolbox, you can maintain named settings such as scheduler type, path settings, and cluster usage policies. Switching between clusters or schedulers typically requires changing the configuration name only.

MATLAB Distributed Computing Server dynamically enables required licenses on the cluster based on the user's profile when an application runs. A user licensed for the toolboxes and blocksets needed for developing and executing parallel applications does not require duplicate licenses while working on a cluster.

Executing MATLAB® scripts offline. With the Configurations Manager, you can direct program execution to your workstation using four local workers or a cluster using any scheduler and any number of workers. Click on image to see enlarged view.