MATLAB: How to use the MATLAB Distributed Computing Server with the Condor batch processing system

MATLAB Parallel ServerParallel Computing Toolbox

I would like to use the Condor batch processing system as a PCT scheduler.

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Pre-configured support for the Condor batch processing system is not available in the MATLAB Distributed Computing Server. To work around this issue, you can integrate the two systems using the Generic Scheduler interface of the MDCS.

You can find more information on supported schedulers here:

https://www.mathworks.com/help/releases/R2009b/toolbox/distcomp/bqur75w-7.html

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MATLAB: Can I run the MATLAB Parallel Server (R14SP1+) workers on a heterogeneous cluster

The Parallel Computing Toolbox and MATLAB Parallel Server are supported on Windows, UNIX, and Macintosh platforms. Mixed platforms are supported, so that the client, job manager, and worker sessions do not have to be on the same platform.

In a mixed platform environment, be sure to follow the proper installation instructions for the local machine on which you are installing and running the software.

For the latest information on supported platforms, see the following link -

https://www.mathworks.com/support/requirements/parallel-computing-toolbox.html

NOTE: Starting in R2019a the following name changes occurred:

MATLAB Distributed Computing Server was renamed to MATLAB Parallel Server
mdce_def was renamed to mjs_def
mdce binary was renamed to mjs

MATLAB: Batch inside a Batch

It seems like you are not allowed to change the pool size on the cluster. You can see the effect of the number of cores by changing the allocated workers in a parallel for loop like this

parfor(i=1:100,W)

and then you change W to the number of workers (cores/threads) you want to test

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MATLAB: Batch inside a Batch

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