progress in parallel version

[aliaksah]

I am now running a parallel version on 40 cores. For some reason this takes much longer than the single core run although I am using more or less the same parameter settings. Is there any chance to get some idea about the progress of the algorithm even in case of using several cores? Perhaps some kind of information from each core when it goes into the feature generation mode of gmjmcmc? Something like

C1P1
C2P1
C3P1
C2P2

where C is the core and P relates to the population which is newly generated.

[jonlachmann]

That sounds like a good idea. Is this on windows/linux/osx? Can you monitor overall CPU and memory usage during the run to see if we are perhaps overloading the machine?