I have tried a different approach using https://gitlab.com/tenzing/shared-array and I got it to perform well on Linux. 
Basically, the code above places all numpy arrays in /dev/shm which allows you to access and modify them from any number of processes without creating any copies; for deleting is equally simple - The code provides a SharedArray.list() to list all objects that itself placed in /dev/shm and so one can just iterate over the list and delete each element. (An easier approach is to use PathLib and just unlik all shared memory objects in /dev/shm)

I guess a solution based on Mat's code could be adapted to try and solve  the shared-memory problems.

I look forward for further discussion on the subject.

Diogo