running distributed jobs

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Arman
Arman il 27 Mar 2012
I'm trying to prepare and run a distributed job (not parallel). Using
%sched = findResource('scheduler','type','jobmanager')
%job1 = createJob(sched)
At the last step when I try to create task, using my scripts:
%createTask(job1, scriptFileName);
I get this error:
Attempt to execute SCRIPT high_dimensional_warping_job_1st as a function
I was wondering how I could submit my scripts as distributed jobs in MATLAB's parallel computing toolbox. It seems that running my scripts as batch jobs does not run as distributed job, but parallel job. I tried to run my script as a batchscript in matlabpool but it even took longer than running the script on a single machine (when comparing it to cluster of machines), that's why I have tried to construct different tasks in a job using my script files and then submit the job in a distributed way.
Any input on this is greatly appreciated.

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Edric Ellis
Edric Ellis il 27 Mar 2012
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.
  2 Commenti
Arman
Arman il 27 Mar 2012
Thanks for your reply. What would you recommend for running lots of scripts simultaneously? because if I use all the available workers for my scripts, second script will be "queued" until the first script finishes running. Shall I somehow limit my workers for every script so I could run lots of them, what would be the best command to do it? suppose I have 50 workers.
Edric Ellis
Edric Ellis il 28 Mar 2012
Your second and subsequent scripts should be able to start executing straight away if you have sufficient workers available. You should only execute "wait(job)" once you've submitted everything.

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