When converting your Simulink model to use model references, it’s common to experience longer build and update times due to added overhead in code generation, compilation, and dependency management.
To improve performance, you can enable incremental builds and parallel model reference builds.
These features allow Simulink to reuse generated artifacts and distribute build tasks across multiple CPU cores or even multiple machines (workers).
So, to further speed up builds you can try the following workarounds:
- If you're working locally, install “Parallel Computing Toolbox” and enable parallel model builds.
- If you have access to a compute cluster, you can use MATLAB Parallel Server to distribute builds across remote workers. This can significantly reduce the total build time for large models.
- You can launch a parallel pool using “parpool” and configure remote workers using “pctRunOnAll”.
For more information feel free to check the documentation here:
