Is it possible to execute 2 scripts in 2 different matlab sessions at the same time, both using parfor?

I want to launch a script in a matlab session and then, while it is running, I want to launch the same script (with one different parameter) in another matlab session, both scripts using parfor. Yes, I would like both to run parallel, so it is 2 parfor in parallel haha!
When I launch the second one, I get this warning:
Warning: Found 1 pre-existing communicating job(s) created by pool that are
running. You can use 'delete(myCluster.Jobs)' to remove all jobs created
with profile local. To create 'myCluster' use 'myCluster =
parcluster('local')'.
Is it a real problem? What happen when the first script finishes and shuts down the parallel pool it has openned? Will it also close the parallel pool of the other session? Do I save time doing this or should I run the 2 executions one after the other?

Answers (1)

Can you provide more details about your code? How do you create the pool? How many workers are you using?
I am having trouble replicating your warning. I just ran the following code in parallel in two sessions of MATLAB with no problem.
parfor ii=1:100000000
fprintf('%d\n',ii);
end

3 Comments

I won't give more details about the code, it is really complicated. The warning happens during the starting parallel pool and before it displays "connected to X workers".
I create the pool by simply using the function "parpool". I am using all the workers of my computer, so 4. Actually, once I know the code works, I would like to execute it on another computer with 12 workers.
There is no need to run any parfor to produce the warning, parpool is enough to raise it. So, if you want to replicate the warning, just run parpool on a session, and after it is connected to the workers, run parpool on the other session.
I did exactly as you suggested (ran parpool in two different sessions). Still no warning for me. Sorry. Perhaps it has to do with the version you are running? I am running R2016a.

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Asked:

on 5 Oct 2016

Commented:

on 7 Oct 2016

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