tasknumber in MATLAB distributed jobs?

I'm running a distributed job on a cluster. I need to execute a script that sends me an email when the last task fi开发者_如何学Pythonnishes (rather, all the tasks are complete). I have my script ready, but I'm not sure how to go about finding task completion. Is there a task ID analogous to labindex?

The reason I want to build this email feature into the job is so that I can just quit MATLAB after submission and collect my data when it's done. That way I won't waste resources pinging it often to get its state.

jobMgr = findResource(parameters for your cluster's job manager...);

job = createJob(jobMgr);
set(job, 'JobData', yourdata);
set(job, 'MaximumNumberOfWorkers', yourmaxworkers);
set(job, 'PathDependencies', yourpathdeps);
set(job, 'FileDependencies', yourfiledeps);
set(job, 'Timeout', yourtimeout);

for m = 1:numjobs
   task(m) = createTask(job, @parallelfoo, 1, {m});

   % Calls taskFinish when the task completes
   set(task(m), 'FinishedFcn', {@taskFinish, m});
end

Elsewhere, you'll have defined a function taskFinish that gets a callback when each task completes.

function taskFinish(taskObj, eventData, tasknum)
   disp(['Task ' num2str(tasknum) ' completed']);
end

Note, this code was written for the original release of the Distributed Computing Toolbox (which was subsequently renamed the Parallel Computing Toolbox), so it's possible that there are more elegant ways of accomplishing what you're trying to do. This gets the job done though, with one caveat -- my understanding is that this callback functionality only works if you're running the MATLAB job manager on your cluster (not one of the third party MPI job managers such as TORQUE).

I'm not sure if this answers much of your question, but you can get at the Task ID when running on the workers like so:

t = getCurrentTask();
tid = t.ID;

However, note that most schedulers execute tasks in an arbitrary order...