Distributing code in a parallel fine grain machine using the actor model

One way to gain execution time on massively parallel systems is to minimise I/O operations by reducing code loading. A solution to this problem is to distribute code dynamically among all processors. The actor model is well suited to this execution model. Actors are modelled as processes which have to be duplicated at execution, at request and depending on the application growth. Our project aims to integrate a preferment communication unit that handles dynamic code distribution