This example shows how to implement task parallelism for a system in a Simulink® model. The model consists of an input, functional components applied to the same input, and a concatenated output. For more information on Task Parallelism, see Types of Parallelism.
Set up the model for concurrent execution. To see the completed model, open ex_task_parallelism_top.
Convert areas in this model to referenced models. Use the same referenced model to replace each of the functional components that process the input. The figure shows a sample configuration.
Open the model configuration parameters for the top level model. Clear the MAT-file logging check box.
On the Solver pane, set Type to
Fixed-step and click Apply. Also
ensure that the Periodic sample time constraint is set to
Unconstrained. Under Additional
options, select Allow tasks to execute concurrently on
target and click Configure
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.
In the selection pane, select CPU. Click Add task three times to add new tasks.
In the selection pane, select Tasks and Mapping. To map partitions to the tasks you created, on the Map block to tasks pane:
Under Block: Input, click
task and select
Under Block: Function 1, select
Under Block: Function 2, select
Under Block: Output, select
The Input and Output model blocks are on one task. Each functional component is assigned a separate task.
the selection pane, select Data transfer. In the
Data Transfer Options pane, set the parameter
Periodic signals to
Ensure deterministic transfer
(minimum delay). Click Apply and close the
Concurrent Execution dialog box.
Apply these configuration parameters to all referenced models. For more information, see Share a Configuration for Multiple Models.
Update your model to see the tasks mapped to individual model blocks.