I am starting to explore Matlab Parallel functionalities, and, I have to say, I am a bit confused about the process-based vs. thread-based environment.
First question: I have 2 clusters, namely, the local cluster and the "MatlabCluster" (remote cluster with 8 nodes, 32 workers). If I use
poop = parpool('MatlabCluster');
the default environment is the "process-based" environment. Correct? Can I use the remote cluster in a "thread-based" environment? If I do
pool = parpool('thread');
only the local cluster switches to 'thread'. Can I do the same with the remote cluster?
Second question: I am experimenting with distributed arrays. However, if I start the 'MatlabCluster' (remote cluster), I get few errors and the last error message is
No workers are available for FevalQueue execution
This happens for the line of code that uses distrubuted arrays. I read that FevalQueue is not supported in "thread-based environment". Does this error mean that, by default, the remote cluster is starting as "thread-based"? (which would contradict my first hypotesis?).