Implement Pipelining in Simulink
This example shows how to implement pipelining for a system represented in a Simulink® model. The
ex_task_parallelism_initial model consists of an input, functional components applied to the same input, and a concatenated output. This example shows how to break up data dependencies between the tasks so that they can run completely in parallel. For more information on pipelining, see Types of Parallelism.
Setup this model for concurrent execution. To see the completed model, open
Configure Model for Concurrent Execution
Convert areas in this model to referenced models. Use the same referenced model to replace each of the functional components that process the input.
Set Model Configuration Parameters
Click Configure Tasks. In the Concurrent Execution dialog box, in the right pane, select the Enable explicit model partitioning for concurrent behavior check box. With explicit partitioning, you can partition your model manually.
On the Modeling tab, click Model Settings.
Select Code Generation > Interface > Advanced parameters. Clear the MAT-file logging check box.
Select Solver, set Type to
Fixed-step, and click Apply.
On the Solver pane, expand Solver details. Check that Periodic sample time constraint is set to
Unconstrained. Under Tasking and sample time options, select Allow tasks to execute concurrently on target.
Partition Model Using Explicit Partitioning
Partition the top model.
In the Concurrent Execution tree, under Tasks and Mapping, select CPU. Click Add task three times to add three new tasks.
Map Blocks to Tasks
In the Concurrent Execution tree, select Tasks and Mapping. On the Map block to tasks pane:
Under Block: Input, click
select taskand select
Under Block: Function 1, select
Under Block: Function 2, select
Under Block: Output, select
This action maps your partitions to the tasks you created. The Input and Output model blocks are on one task. Each functional component is assigned a separate task.
Close the Concurrent Execution dialog box.
Share Configuration with Referenced Models
Apply configuration parameters to all referenced models.
Initialize Data Dictionary to Store Configuration Set
Simulink.data.dictionary.Entryobject that represents the configuration set, which is an entry in the dictionary. For this example, suppose the name of the dictionary is
myData.slddand the name of the
Store a copy of the target
Simulink.ConfigSetobject in a temporary variable.
Save changes made to the dictionary.
Set Up Configuration Reference
Create a freestanding configuration set in the base workspace by copying the active configuration set of the model.
Create a separate configuration reference for the top model and each reference model. To point the reference to your freestanding configuration, set the
freeConfigSet, the variable that represents your configuration.
Attach the configuration reference to each model by using the
ConfigSetRefobject. To use the configuration reference in the model, activate it for each model.
Update your model to see the tasks mapped to individual model blocks.
Notice that delays are introduced between different tasks, indicated by the z-1 badge. Introducing these delays may cause different model outputs in Simulink. Ensure that your model has an expected output on simulating the parallelized model.