I think this is due to very large data set that I use to train and simulate the NARX. Could you please help me on how to divide the data sets into Composites? I tried, failed. Could you please give me some examples?
Parallel Computing to Train NARX
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Hi,
I am using Matlab 2015a with license for Neural Networks and Parallel Computing toolboxs.
I have been using NARX for a few years. I want to use parallel computing to training my NARX. But, when I run the train function with "useParallel", "yes", there is only 1 worker on MEX WIN64. All other 11 workers are "not used". I have a server with 12 cores (2xCPUs).
How I can put all the workers to the MEX to have parallel training with all CPU cores for NARX?
Really looking forward to your answer! Thanks. Baker Huang (Yu)
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Diogo Goncalves
el 16 de Mzo. de 2016
I think you should check the parallel pool set in your matlab. If you have it default you should change manually like: http://www.mathworks.com/help/distcomp/parpool.html
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