Combine distributed cells and output from tasks

Hi,

I am working with Matlab parallel server. In my code, after submitting a job, I create a certain amount of tasks, and then I take the results back on my computer by using the function

fetchOutputs()

In this way, I get the results on my client machine. However, is there a way to keep the results stored in a cell variable, but distributed in the cluster? I was reading about distributed.cell, but I am not sure how to use it without loading first the results in the client (I would do something like

result = fetchOutput(job_set);
D = distributed.cell(size(result));

).

Any smarter way of doing this?

[Alvaro]

Could you elaborate on the next steps you would take with that distributed cell array in the cluster? Did the function in your next question do what you expected?

https://www.mathworks.com/matlabcentral/answers/1573833-distributed-arrays-slow-with-batch-jobs?s_tid=prof_contriblnk