I have two PCs, and I use Parallel Server and Parallel Computing to utilize the cores in both PCs simultaneously. Since the script I'm running load relatively large amount of data files (.mat), I copied the files to the remote host beforehand, and then use the following command:
MJSName = 'AdibMJS';
ScriptName = 'SatelliteDataProcessing';
PathInRemoteHost = 'D:\SatelliteData';
NumWorkers = 8;
C = parcluster(MJSName);
Job = batch(C, ScriptName, 'Pool', NumWorkers - 1, 'AdditionalPaths', PathInTheRemoteHost);
parfor i = 1:N
By doing this, I thought I could avoid the files to be transferred during runtime through WLAN, which is slow in my setup. When I started the job, I could see that, through Task Manager of both PCs, there are Network usage by MATLAB, indicating that there are still some data being transferred through WLAN. This cause the parfor-loop to run slower compared to using less workers (e.g., 4) on just the local cluster. What I want to happen instead is for both PCs to load the data files locally and run the parfor-loop simultaneously. Note that in both PCs, the path that stores the data files is identical.
Please advise where did I do wrong? Thank you!