Simulink.sdi.cleanupWorkerResources
Clean up worker repositories
Description
Simulink.sdi.cleanupWorkerResources
removes redundant data
from each parallel worker repository file used by the Simulation Data Inspector.
Call this function while worker pools are running. The Simulation Data Inspector
automatically cleans up repository files when you close the worker pool.
Examples
Access Data from Parallel Simulation
Execute parallel simulations of the model slexAircraftExample
with different input filter time constants and access the data in different ways using the Simulation Data Inspector programmatic interface.
Setup
Check that the Simulation Data Inspector is empty and that Parallel Computing Toolbox support is configured to import runs created on local workers automatically. Then, create a vector of filter parameter values to use in each simulation.
Simulink.sdi.clear
Simulink.sdi.enablePCTSupport("local")
Ts_vals = [0.01, 0.02, 0.05, 0.1, 0.2, 0.5, 1];
Initialize Parallel Workers
Use the gcp
function to create a pool of local workers to run parallel simulations if you don't already have one. In an spmd
code block, load the slexAircraftExample
model and select signals to log. To avoid data concurrency issues using sim
in parfor
, create a temporary directory for each worker to use during simulations.
p = gcp;
Starting parallel pool (parpool) using the 'Processes' profile ... 02-Nov-2023 16:05:17: Job Queued. Waiting for parallel pool job with ID 1 to start ... 02-Nov-2023 16:06:18: Job Queued. Waiting for parallel pool job with ID 1 to start ... Connected to parallel pool with 6 workers.
spmd % Load system and select signals to log load_system("slexAircraftExample") Simulink.sdi.markSignalForStreaming("slexAircraftExample/Pilot", 1, "on") Simulink.sdi.markSignalForStreaming("slexAircraftExample/Aircraft Dynamics Model", 4, "on") % Create temporary directory on each worker workDir = pwd; addpath(workDir) tempDir = tempname; mkdir(tempDir) cd(tempDir) end
Run Parallel Simulations
Use parfor
to run the seven simulations in parallel. Select the value for Ts
for each simulation, and modify the value of Ts
in the model workspace. Then, run the simulation and build an array of Simulink.sdi.WorkerRun
objects to access the data with the Simulation Data Inspector. After the parfor
loop, use another spmd
segment to remove the temporary directories from the workers.
parfor index = 1:7 % Select value for Ts Ts_val = Ts_vals(index); % Change the filter time constant and simulate modelWorkspace = get_param("slexAircraftExample","modelworkspace"); assignin(modelWorkspace,"Ts",Ts_val) sim("slexAircraftExample"); % Create a worker run for each simulation workerRun(index) = Simulink.sdi.WorkerRun.getLatest end spmd % Remove temporary directories cd(workDir) rmdir(tempDir, "s") rmpath(workDir) end
Get Dataset Objects from Parallel Simulation Output
The getDataset
function puts the data from a WorkerRun
object into a Dataset
object so you can easily post-process.
ds(7) = Simulink.SimulationData.Dataset; for a = 1:7 ds(a) = getDataset(workerRun(a)); end ds(1)
ans = Simulink.SimulationData.Dataset '' with 12 elements Name BlockPath __________ ________________________________________ 1 [1x1 State ] '' slexAircraftExample/Actuator Model 2 [1x1 Signal] alpha, rad ...rcraftExample/Aircraft Dynamics Model 3 [1x1 State ] '' ...cs Model/Pitch Channel/Integrate qdot 4 [1x1 State ] '' ...mics Model/Vertical Channel/Integrate 5 [1x1 State ] '' ...ntroller/Alpha-sensor Low-pass Filter 6 [1x1 State ] '' ...ller/Integrator/Continuous/Integrator 7 [1x1 State ] '' ...ple/Controller/Pitch Rate Lead Filter 8 [1x1 State ] '' ...aftExample/Controller/Stick Prefilter 9 [1x1 State ] '' .../Dryden Wind Gust Models/Q-gust model 10 [1x1 State ] '' .../Dryden Wind Gust Models/W-gust model 11 [1x1 Signal] Stick slexAircraftExample/Pilot 12 [1x1 Signal] alpha, rad slexAircraftExample/alpha, rad - Use braces { } to access, modify, or add elements using index.
Get DatasetRef
Objects from Parallel Simulation Output
For big data workflows, use the getDatasetRef
function to reference the data associated with the WorkerRun
.
for b = 1:7 datasetRef(b) = getDatasetRef(workerRun(b)); end datasetRef(1)
ans = DatasetRef with properties: Name: 'Run <run_index>: <model_name>' Run: [1×1 Simulink.sdi.Run] numElements: 12
Process Parallel Simulation Data in the Simulation Data Inspector
You can also create local Simulink.sdi.Run
objects to analyze and visualize your data using the Simulation Data Inspector programmatic interface. This example shows a tag indicating the filter time constant value for each run.
for c = 1:7 Runs(c) = getLocalRun(workerRun(c)); Ts_val_str = num2str(Ts_vals(c)); desc = strcat("Ts = ", Ts_val_str); Runs(c).Description = desc; Runs(c).Name = strcat("slexAircraftExample run Ts=", Ts_val_str); end
Clean Up Worker Repositories
Clean up the files used by the workers to free up disk space for other simulations you want to run on your worker pool.
Simulink.sdi.cleanupWorkerResources
Version History
Introduced in R2017b
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