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)
Answers (1)
Diogo Goncalves
on 16 Mar 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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