MATLAB: MATLAB runtime Windows multiple MCRs

MATLAB Compiler

"MATLAB runtime run in parallel if it's loaded on separate processes" How do you run multiple MCRs and make them use a separate process in windows……Please don't tell me to read the manual…Looking for precise instructions….Thanks

[Merged information from Duplicate Question]

When I run two executables concurrently they take double amount of time to run. The MCR is single threaded so running the compiled exe in another shell (command prompt call with &) doesn't help. This is running on a very fast 6 core i7 machine with 64 GB of ram. Is this a problem with JVM contention ?

How do I make two executable programs in Matlab run faster in Windows Server ?

Is this a limitation when you multiple compiled executables?

I'm hoping someone at Mathworks can answer this very simple question.

Best Answer

Thanks for that...However, when I run both executables concurrently they take double amount of time to run. The MCR is single threaded so running the compiled exe in another shell doesn't help. How do you run multiple MCR's ? I know different versions of the MCR can be installed and this provides concurrency to each compiled version.

Related Solutions

MATLAB: If a model is configured for concurrent execution, does it run on multiple cores during simulation in Simulink

No. Concurrent execution allows you to model the behavior of running the model on multiple cores and generate code for it. It is designed for benefit on an embedded application, but it has no impact on the speed of the simulation.

Therefore, when you run the model in Simulink, it still runs as a single-thread application and does not use multiple cores.

Concurrent Execution does however potentially impact simulation results by introducing buffers/delays/dependencies between different components and rate groups.

MATLAB: Running distributed jobs

You need to give the name of the script to the createTask function, like so:

    sched = findResource(...);
    job = createJob(sched); 
    task = createTask(job, 'scriptFileName');
    submit(job);

This is basically equivalent to running

    job = batch('scriptFileName', sched);

A single isolated task might run more slowly on a cluster because MATLAB workers run in "single computational thread" mode. You might be better trying to run lots of scripts simultaneously.

Best Answer

Related Solutions

MATLAB: If a model is configured for concurrent execution, does it run on multiple cores during simulation in Simulink

MATLAB: Running distributed jobs

Related Question