Semantics for Communication Primitives in an Polymorphic Language

Abstract

We propose a method to extend an ML-style polymorphic language with transparent communication primitives, and give their precise operational semantics. These primitives allow any polymorphic programs definable in ML to be used remotely in a manner completely transparent to the programmer. Furthermore, communicating programs may be based on different architecture and use different data representations.