Syntax

Description

job = createCommunicatingJob(cluster) creates a communicating job object for the identified cluster.

job = createCommunicatingJob(...,'p1',v1,'p2',v2,...) creates a communicating job object with the specified property values. For a listing of the valid properties of the created object, see the parallel.Job object reference page. The property name must be in the form of a string, with the value being the appropriate type for that property. In most cases, the values specified in these property-value pairs override the values in the profile. But when you specify AttachedFiles or AdditionalPaths at the time of creating a job, the settings are combined with those specified in the applicable profile. If an invalid property name or property value is specified, the object will not be created.

job = createCommunicatingJob(...,'Type','pool',...) creates a communicating job of type 'pool'. This is the default if 'Type' is not specified. A 'pool' job runs the specified task function with a parallel pool available to run the body of parfor loops or spmd blocks. Note that only one worker runs the task function, and the rest of the workers in the cluster form the parallel pool. So on a cluster of N workers for a 'pool' type job, only N-1 workers form the actual pool that performs the spmd and parfor code found within the task function.

job = createCommunicatingJob(...,'Type','spmd',...) creates a communicating job of type 'spmd', where the specified task function runs simultaneously on all workers, and lab* functions can be used for communication between workers.

job = createCommunicatingJob(...,'Profile','profileName',...) creates a communicating job object with the property values specified in the profile 'profileName'. If no profile is specified and the cluster object has a value specified in its 'Profile' property, the cluster's profile is automatically applied.

Examples

Pool Type Communicating Job

Consider the function 'myFunction' which uses a parfor loop:

function result = myFunction(N)
    result = 0;
    parfor ii=1:N
        result = result + max(eig(rand(ii)));
    end
end

Create a communicating job object to evaluate myFunction on the default cluster:

myCluster = parcluster;
j = createCommunicatingJob(myCluster,'Type','pool'); 

Add the task to the job, supplying an input argument:

createTask(j, @myFunction, 1, {100});

Set the number of workers required for parallel execution:

j.NumWorkersRange = [5 10];

Run the job.

submit(j);

Wait for the job to finish and retrieve its results:

wait(j)
out = fetchOutputs(j)

Delete the job from the cluster.

delete(j);

See Also

createJob | createTask | findJob | parcluster | recreate | submit