can parfor in compiled code access a local worker pool?

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I run on a dedicated multi-code computer very often mcc-compiled matlab programs, in which I execute parfor. Each program has a relatively slow startup time, I think because it is create the parallel worker pool. For my application, it would be more efficient if the pool could remain open all the time in the background, for example from a headless matlab session. Is something like that possible, or are there other solutions?

Answers (1)

Dasharath Gulvady
Dasharath Gulvady on 22 Jul 2015
Edited: Dasharath Gulvady on 22 Jul 2015
It is definitely possible for a compiled MATLAB code to utilize profiles created using Parallel Computing Toolbox. The below documentation page explains the same:
  4 Comments
emmenlau
emmenlau on 23 Jul 2015
Edited: emmenlau on 23 Jul 2015
Thats strange, because when I open Matlab twice interactively, and create a parpool in both (using the same profile), Matlab will tell me that there is a second pool already open, and that I can fetch and delete jobs on the existing pool! Did you try that? It seems they could in principle share the pool, just I don't understand how it would work.
Dasharath Gulvady
Dasharath Gulvady on 24 Jul 2015
Which version of MATLAB are you using? The expected behavior is not to share any workers between the MATLAB sessions. In the second MATLAB session, if you execute
>>p = gcp('nocreate');
What is the value of p? Note that, you should execute the above command without creating a pool beforehand.

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