Difference between revisions of "Support:Documents:Manual:Distributed Computing with COMKAT"
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To start parallel computing, user must install MDCS that described in this [http://www.mathworks.com/support/product/DM/installation/ver_current/setupwiz.html 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. | To start parallel computing, user must install MDCS that described in this [http://www.mathworks.com/support/product/DM/installation/ver_current/setupwiz.html 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 1: Install MATLAB Distributed Computing Server | ||
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Stage 3: Install Parallel Computing Toolbox | Stage 3: Install Parallel Computing Toolbox | ||
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| + | 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=== | ===Setting Up Client (User's Computer) for Matlab Distributed Computing=== | ||
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| + | '''Following the below stage if it is the first time you are using MATLAB Distributed Computing''' | ||
Stage 4: Test Your Parallel Computing Environment | 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. | 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. | ||
Revision as of 20:55, 2 April 2009
What is distributed computing
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.