Getting Started with MATLAB Job Scheduler
This is a five-part video series that will guide you through the process of downloading, installing, configuring, and submitting jobs to a MATLAB Parallel Server™ cluster running MATLAB Job Scheduler.
MATLAB Parallel Server lets you scale MATLAB® programs and Simulink® simulations to clusters and clouds. You can prototype your programs and simulations on the desktop using Parallel Computing Toolbox™ and then run them on clusters and clouds without recoding. MATLAB Parallel Server supports batch jobs, interactive parallel computations, and distributed computations with large matrices.
This video series includes the following topics:
- How to download, install, and configure a network license manager for use with MATLAB Parallel Server
- How to download, install, and configure MATLAB Parallel Server with MATLAB Job Scheduler
- How to set up the MATLAB client to submit jobs to MATLAB Parallel Server using MATLAB Job Scheduler
- How to run jobs on your MATLAB Parallel Server cluster
- How to monitor MATLAB Parallel Server usage with MATLAB Job Scheduler and upgrade to a new release
If you encounter any issues along the way, please reach out to MathWorks Technical Support.
Part 1: Download, Install, and Configure License Manager This step-by-step guide will show you how to download, install, and configure a network license manager for use with MATLAB Parallel Server.
Part 2: Download, Install, and Configure MATLAB Parallel Server with MATLAB Job Scheduler Learn how to download, install, and configure MATLAB Parallel Server with MATLAB Job Scheduler.
Part 3: Set Up MATLAB Client to Submit Jobs to MATLAB Parallel Server Using MATLAB Job Scheduler Set up your MATLAB client to submit jobs to MATLAB Parallel Server using MATLAB Job Scheduler.
Part 4: Run Jobs on Your MATLAB Parallel Server Cluster See how you can run jobs on your MATLAB Parallel Server cluster.
Part 5: Monitor MATLAB Parallel Server Usage and Upgrade to a New Release Learn how to monitor MATLAB Parallel Server usage with MATLAB Job Scheduler and upgrade to a new release.