Send run created on parallel workers to the Simulation Data Inspector
Simulink.sdi.sendWorkerRunToClient sends the run most
recently generated by the worker to the client MATLAB® and imports the run to the Simulation Data Inspector.
sends the run corresponding to
run to the client MATLAB and imports the run to the Simulation Data Inspector.
This example shows how to use
Simulink.sdi.sendWorkerRunToClient to send runs created using parallel workers manually to the Simulation Data Inspector.
This example runs several simulations of the
vdp model, varying the value of the gain,
Mu. To set up for the parallel simulation, define a vector of
Mu values and configure the Simulation Data Inspector for manual Parallel Computing Toolbox support.
% Enable manual Parallel Computing Toolbox support Simulink.sdi.enablePCTSupport('manual'); % Choose several Mu values MuVals = [1 2 3 4];
Initialize Parallel Workers
parpool (Parallel Computing Toolbox) to start a pool of four parallel workers. This example calls
parpool inside an if statement so you only create a parallel pool if you don't already have one. You can use
spmd (Parallel Computing Toolbox) to run initialization code common to all workers. For example, load the
vdp model and select signals to log to runs that we can send to the Simulation Data Inspector on the client MATLAB. To avoid data concurrency issues when simulating with
parfor, create a temporary directory on each worker. After the simulations complete, another spmd block deletes the temporary directories.
p = gcp('nocreate'); if isempty(p) parpool(4); end
Starting parallel pool (parpool) using the 'local' profile ... connected to 4 workers.
spmd % Load system and select signals to log load_system('vdp') Simulink.sdi.markSignalForStreaming('vdp/x1',1,'on') Simulink.sdi.markSignalForStreaming('vdp/x2',1,'on') % Create temporary directory for simulation on worker workDir = pwd; addpath(workDir) tempDir = tempname; mkdir(tempDir) cd(tempDir) end
Run Parallel Simulations with
To stream data from parallel workers to the Simulation Data Inspector, you have to run parallel simulations using
parfor (Parallel Computing Toolbox). Each worker runs a
vdp simulation with a different value of
Mu. Simulink cannot access the contents of the
parfor loop, so the variable
MuVal is defined in the worker's workspace, where the
vdp model can see it, using
parfor (index = 1:4) % Set value of Mu in the worker's base workspace assignin('base','MuVal',MuVals(index)); % Modify the value of Mu in the model and simulate set_param('vdp/Mu','Gain','MuVal') sim('vdp')
Access Data and Send Run to Client MATLAB
You can use the Simulation Data Inspector programmatic interface on the worker the same way you would in the client MATLAB. This example creates a
Simulink.sdi.Run object and attaches the value of
Mu used in the simulation with the
% Attach metadata to the run IDs = Simulink.sdi.getAllRunIDs; lastIndex = length(IDs); runID = Simulink.sdi.getRunIDByIndex(lastIndex); parRun = Simulink.sdi.getRun(runID); parRun.Tag = strcat('Mu = ',num2str(MuVals(index))); % Send the run to the Simulation Data Inspector on the client MATLAB Simulink.sdi.sendWorkerRunToClient end
Close Temporary Directories and View Runs in the Simulation Data Inspector
spmd section to delete the temporary directories created on the workers once the simulations complete. In each simulation,
Simulink.sdi.sendWorkerRunToClient imported runs from all the workers into the Simulation Data Inspector. You can view the data and check the run properties to see the value of
Mu used during simulation.
spmd % Remove temporary directories cd(workDir) rmdir(tempDir, 's') rmpath(workDir) end Simulink.sdi.view
run— Run ID or
Run ID or
Simulink.sdi.Run object corresponding to the
run you want to import into the Simulation Data Inspector.