Multithreading using separate cores/matlab pools for computation and for visualization

I am developing a real-time application, which takes in data from a device, performs computations, and then plots graphics-intensive visualizations.

Ideally, I'd like to set up a scenario in which I can have the computational and graphics operations be performed on separate cores, so as not to have the graphical display time cut into the computation time.

Is there is a way to do this in Matlab? It seems that most of the multithreading functions are designed to facilitate parallel computation of repeated code blocks, rather than allow for separate independent processing streams.

Am I correct in my understanding that the matlab pools do not share memory? Ideally I would want both processing streams to access the same objects in memory.

Thanks!!