The following code returns the error below in MATLAB R2020b, Windows 10.
However, after restarting MATLAB and running only ppp=parpool(4) on a fresh script, it works. Has anyone ever experienced such a thing? I need to perform same operation on 6 other climate variables, so speed is of the essence. Running a normal for-loop is slow; therefore, is very discouraging.
Precips = ".\ECMWF_Datasets\cru_ts_4.05\data\pre\cru_ts4.05.1901.2020.pre.dat.nc"
Times = ncread(Precips, "time");
Times = double(Times) * 24 * 3600;
ref_date = datestr('1900-01-01 00:00:00.0');
Times = datetime(Times,'ConvertFrom','epochtime','Epoch',ref_date);
XXX = ncread(Precips, "pre");
parfor i = 1:length(Times)
"Perform some operations on XXX"
Error using parpool (line 149)
Parallel pool failed to start with the following error. For more detailed information, validate the profile 'local' in the Cluster Profile Manager.
Error using parallel.internal.pool.InteractiveClient>iThrowWithCause (line 678)
Failed to start pool.
Error using parallel.Job/submit (line 355)
Unable to use a value of type cell as an index.