Cluster Processes and Profiles
Start a MATLAB® Job Scheduler and workers, share cluster profiles
UNIX and DOS Control Scripts
|Start Admin Center GUI|
|Install, start, stop, or uninstall mjs service|
|Status of mjs processes running on node|
|Start job manager process|
|Start MATLAB worker session|
|Stop job manager process|
|Stop MATLAB worker session|
Examples and How To
- Configure Advanced Options for MATLAB Job Scheduler Integration
Configure your MATLAB Parallel Server™ installation to use a MATLAB Job Scheduler.
- Configure LDAP Server Authentication for MATLAB Job Scheduler
Setup LDAP server authentication for MATLAB Job Scheduler user logins.
- Start Admin Center
Admin Center is a graphical user interface with which you can control and monitor the MATLAB Parallel Server processes of a MATLAB Job Scheduler cluster.
- Set Up Resources
To specify the hosts you want listed in Admin Center, click Add or Find in the Welcome dialog box, or if this is not a new session, click Add or Find in the Hosts module.
- Test Connectivity
Admin Center lets you test communications between your MATLAB Job Scheduler node, worker nodes, and the node where Admin Center is running.
- Export and Import Sessions
By default, Admin Center saves the cluster definition, process status, and test results, so the next time the same user runs Admin Center on the same machine, that saved information is available and displayed by default.
- Prepare for Cluster Profiles
Admin Center does not create cluster profiles, but the information displayed in Admin Center is of vital importance when you create your cluster profiles — information such as MATLAB Job Scheduler name, MATLAB Job Scheduler host, and number of workers.
- Shut Down a Job Manager Cluster
Terminating parallel computing processes on your cluster.
- Product Overview
Overview of the Parallel Computing Toolbox™ product and the MATLAB Parallel Server product.
- Requirements and Ports for MATLAB Parallel Server
Examine network requirements, port configuration, and limitations for running Parallel Computing Toolbox software and MATLAB Parallel Server software.