Notice I need to have all the computed data on the same workspace, and I have to use these at each moment.
How to execute parallel functions ?
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Hi everyones,
I have a three buffer system and It takes 3 steps : - I need to collect data from a .txt file - I need to filter these data - I need to plot the filtered data
I want to do these three steps simultaneously ! (even if I have a delay between current data and plotted data) Should I use a parfor loop, matlabpool or multi-thread programming ?
Thanks a lot !
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Friedrich
le 24 Avr 2013
Modifié(e) : Friedrich
le 24 Avr 2013
Hi,
look at createTask and createJob. You create a Task for each file, let the worker process is and pass the data back to MATLAB. In MATLAB you get that data and plot it and restart the process:
c = parcluster; %or maybe c = findResource('scheduler','Configuration','local');
job = createJob(c);
for i=1:3
createTask(job,@rand,1,{i});
%create a function handle to the function you use to process the file, pass in the filename as argument to the function to be able to use the same function for all files
end
submit(job);
wait(job);
results = job.fetchOutputs %maybe you need getAllOutputArguments depends on the version you are using
job.delete
Or use SPMD (this should give a better peformance as CreateJob/CreateTask because te workers need to be started only once)
matlabpool open 3
result = cell(3,1);
spmd
switch labindex
case 1
result{1} = rand(1); %process file 1
case 2
result{2} = rand(2); %process file 2
case 3
result{3} = rand(3); %process file 3
end
end
%each worker holds its own result because result is a Composite object
result
result{:}
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Plus de réponses (4)
Paul-Henri Michel
le 23 Avr 2013
11 commentaires
Friedrich
le 23 Avr 2013
Plotting doesnt take much time. Using a MATLAB for Plotting only seems a bit too much. I would do all that in one MATLAB. You can use PCT to read in the 3files and post process it. You then use these results and plot it and then start over again. This can run in 1 MATLAB.
You use the second MATLAB for your own.
Paul-Henri Michel
le 23 Avr 2013
2 commentaires
Friedrich
le 23 Avr 2013
Why do you need the same workspace? You can put the data together later on.
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