Getting Started with Parallel Computing using MATLAB: submitJob5.m - File Exchange

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Highlights from
Getting Started with Parallel Computing using MATLAB

testParforJob Simple parfor function to illustrate MatlabPoolJob submission
testTask(x1,x2)
getMyJob.m
parforExample1.m
spmdExample1.m
submitJob2a.m
submitJob2b.m
submitJob2b_spmd.m
submitJob3a.m
submitJob3b.m
submitJob4.m
submitJob5.m
testBatch.m
testParforBatch.m
testSpmdBatch.m
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from Getting Started with Parallel Computing using MATLAB by Arjav Chakravarti
This is an older version of the introductory tutorial for running parallel MATLAB applications

submitJob5.m

%% Script submits a data parallel job, with one task
sched = findResource();
job5 = createParallelJob(sched);
createTask(job5, @labindex, 1, {});
set(job5, 'MaximumNumberOfWorkers', 3);
set(job5, 'MinimumNumberOfWorkers', 3);
submit(job5)
waitForState(job5, 'finished') % optional 
sprintf('Finished Running Job') 
results = getAllOutputArguments(job5);
sprintf('Got Output Arguments')
destroy(job5); % permanently removes job data
sprintf('Test Completed')

Highlights from Getting Started with Parallel Computing using MATLAB

Highlights from
Getting Started with Parallel Computing using MATLAB