Dependent Types for Multi-Rate Data Flows in Synchronous Programming

Abstract

Synchronous programming languages emerged in the 1980s as tools for implementing reactive systems, which interact with events from physical environments and often must do so under strict timingconstraints. In this report, we encode inside ATS various real-time primitives in an experimental synchronous language called Prelude, where ATS is a staticallytyped language with an ML-like functional core that supports both dependent types (of DML-style) and linear types. We show that the verification requirements imposed on these primitives can be formally expressed in terms of dependent types in ATS. Moreover, we modify the Prelude compiler to automatically generate ATS code from Prelude source. This modified compiler allows us to solely rely on typechecking in ATS to discharge proof obligations originating from the need to typecheck Prelude code. Whereas ATS is typically used as a general purpose programming language, we hereby demonstrate that it can also be conveniently used to support some forms of advanced static checking in languages equipped with less expressive types.

Publication
In Post-Proceedings of 2015 ACM Workshop on ML, EPTCS 2016.
Date