Compiling with Non-Parametric Polymorphism

There is a middle ground between parametric and ad-hoc polymorphism in which a computation can depend upon a type parameter but is restricted to being de ned at all types in an inductive fashion. We call such polymorphism non-parametric. We show how nonparametric polymorphism can be used to implement a variety of useful language mechanisms including overloading, unboxed data representations in the presence of ML-style polymorphism, and canonical representations of equivalent types. We show that, by using a second-order, explicitly typed language extended with non-parametric operations, these mechanisms can be implemented without having to tag data with type information at runtime. Furthermore, this approach retains a \phase distinction" and permits static type checking and separate compilation. Our aim is to provide a unifying language, translation, and proof framework in which a variety of non-parametric mechanisms can be expressed and veri ed.