Support:Documents:Manual:Distributed Computing with COMKAT

How can distributed computing help COMKAT

Setting Matlab Distributed Computing Server (MDCS)

To start parallel computing, user must install MDCS that described in this document. To get appropriate instructions, user should click the above link and fill out the information about your cluster computer's platforms, Matlab end user's platforms, installation location, scheduler and licensing, and there should be four stages for installing MDCS.

Following the below stages if it is the first time you are building MATLAB Distributed Computing Server

Stage 1: Install MATLAB Distributed Computing Server

Stage 2: Configure Your Cluster for use with MathWorks Job Manager

Stage 3: Install Parallel Computing Toolbox

In brief, stage 1 is to install MDCS on the head node and worker nodes and then start the license manager on the head node. Stage 2 is to renew mdce services on all nodes. Stage 3 is to install parallel computing toolbox if you will write Matlab applications.

Setting Up Client (User's Computer) for Matlab Distributed Computing

Following the below stage if it is the first time you are using MATLAB Distributed Computing

Stage 4: Test Your Parallel Computing Environment

The customized document generated by clicking on the document link above gives details on how to set up the user's computer. Please review that document for details and screen snapshots. In brief, the steps for a Windows client are to click on the Parallel menu item (to the right of File, Edit, ... in the MATLAB window). If this is the first time you are using MATLAB Distributed Computing, click Manage. On the File menu, click New and select the desired jobmanager type. To use MATLAB's built-in manager, select jobmanager. Define name and other properties for the configuration including the Job manager host name (e.g. an IP address) and the job name manager. On the jobs tab, specify the maximum and minimum numbers of workers. Click OK/save.