Matlab engine for python with shared session
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I want to run multiple matlab engines for python at the beginning of my application, because the library I developed embeds many large functions that have to be loaded at the beginning of the app. This is well described in the documentation:
engines = 
# load engines
for i in range(3):
# use one engine
result = engines.MyFunction(arg1,arg2)
I also found in the documentation the possibility to use shared matlab sessions:
engine = matlab.engine.connect_matlab('MATLABEngineName')
What is this?! There is no information about these shared sessions.
Does it allow to simultaneously run multiple functions in the same engine? What about the execution times (for comparable configurations between shared and classic sessions)?
Bo Li on 29 Sep 2016
You can send multiple requests to the same engine, they will be queued up and executed one by one. To run multiple functions simultaneously, you may start multiple MATLAB through matlab.engine.start_matlab in Python, or launch multiple shared MATLAB session and connect to them using matlab.engine.connect_matlab. There is no difference between a shared and classic session regarding the performance of running a MATLAB function.
Following MATLAB command can be used to share a MATLAB session:
Or you can launch a MATLAB session as shared from system prompt using "-r" argument:
%matlab -r matlab.engine.shareEngine