I think, your loops must be independent to paralleled.

If so, you can use this code with a cluster:

[xg,yg,zg] = meshgrid(something);

sched = parcluster();

job=createJob(sched);

job.AttachedFiles={'your_function1','your_function2','your_function3', 'your_function4');

%Each function for each loop with some code

createTask(job, @your_function1, nb_output,{xg,your_more_parameter});

createTask(job, @your_function2, nb_output,{yg,your_more_parameter});

createTask(job, @your_function3, nb_output,{zg,your_more_parameter});

createTask(job, @your_function4, nb_output,{100,your_more_parameter});

submit(job);

wait(job);

results = fetchOutputs(job);

%Use cell2mat(results) to retrieve data

hi

answer the same as carlos

Matlab will only let you use one parfor (parallel for) loop. You have two options, either make the innermost loop a parfor or treat your matrix as a vector and run the whole thing as one giant parfor loop without any nesting.

How can I parallelize multi for loop in MATLAB?. Available from: https://www.researchgate.net/post/How_can_I_parallelize_multi_for_loop_in_MATLAB [accessed May 1, 2015].

The former is easier but the latter should be faster.