Multiprocessing Pool in streamlit app

I trying to use multiprocessing (Pool) in my streamlit app to spawn off some compute intensive tasks as child processes. The app in multiprocessing mode works fine when a single user is using the app. However, when another user tries to use the app concurrently, the child processes get stopped (they don’t close). Why does this happen?

Is there a way to avoid this issue?

Thanks

Sudipta

Can you share your code so we can see what you have tried? If you can create a simplified, executable example to demonstrate how you’ve set up you multiprocessing, that will help the community identify your pain point. In general, it comes down to juggling session state and caching.