Run Simulink models in parallel while sharing data stores

I am looking to run two different Simulink models in parallel in a main model. The two models need to share 2 data store memory variables. One of the models is computationally expensive and is executed only when a certain condition on one of the data store variables is met. The other model needs to run continuously while writing to the data store variables. I have implemented task parallelism as described in the following example: https://www.mathworks.com/help/simulink/ug/implement-task-parallelism-in-simulink.html

However, I could not share the data store variables across models as task parallelism requires all blocks to be in sub-models and global data store sharing requires variables to be defined in the main model, if I understood it correctly

1. How could I share data store memory globally across models while running models in parallel?

2. How could I run the fast executing model at the same rate without being affected by the fact that the slow executing model is running or not?

I would appreciate any advice in this regard. Thanks!

Answer 1

[Prashant Arora]

Hi Priyanshu,

Regarding your question about global data stores, you can use Simulink.Signal objects to define data stores in base workspace. A data store defined in the base workspace with a signal object is a global data store. Global data stores are accessible to every model, including all referenced models.