This example shows how to apply explicit partitioning to enhance concurrent execution of a real-time application that you generate by using Simulink Real-Time.
Simulink Real-Time supports concurrent execution by using implicit partitioning or explicit partitioning of models. For explicit partitioning, Simulink Real-Time users partition the root-level model by using referenced models, Simulink subsystems, or other options that Simulink supports. For more information about model partitioning for concurrent execution, see:
This example shows the relationship between the explicit partitioning of the tasks in the model subsystems and the execution of tasks by using the Simulink Real-Time profiling tool.
The example model
dxpcmds6t runs at sample rate of 0.001 second.
To run the model with adjusted sample rate of 0.01 second, change the sample rated before running the example. In the MATLAB Command Window, type:
Ts = 0.01;
Open the model
dxpcmds6t. The model is mapped to seven threads:
These threads run at sample rates of
The explicit partitioning in the top-level model occurs in subsystems
To apply explicit partitioning, in the Simulink Editor, on the Real-Time tab, click Hardware Settings, and then select Solver > Configure Tasks. Select the
Tasks and Mapping node.
Build, download, and run the model.
set_param(mdl,'RTWVerbose','off'); rtwbuild(mdl); tg = slrt('TargetPC1'); load(tg,mdl); startProfiler(tg); start(tg); pause(2); stop(tg);
### Starting Simulink Real-Time build procedure for model: dxpcmds6t ### Generated code for 'dxpcmds6t' is up to date because no structural, parameter or code replacement library changes were found. ### Successful completion of build procedure for model: dxpcmds6t ### Created MLDATX ..\dxpcmds6t.mldatx
The profiling data shows the execution time of each thread on a multi-core target computer
profData = tg.getProfilerData; profData.plot;
Processing data, please wait ...