Static data-flow analysis of synchronous programs

Abstract

Synchronous programming languages are well-suited for the design of safety-critical real-time embedded systems. However, the compilers and synthesis procedures are challenged by the synchronous programming paradigm and have to solve additional problems like causality and schizophrenia problems. Algorithms to solve these basic compilation problems have already become mature, but code optimization still lacks behind. Often, code optimization is left to the back-end tools like compilers for sequential software or hardware synthesis tools. In this paper, we develop a static analysis procedure to introduce code optimization techniques to synchronous languages. We develop specialized code optimization procedures that can be applied to all kinds of synchronous languages. Similar to the code optimization techniques used for the compilation of sequential software, our procedures are also based on a static data-flow analysis that is adapted to the synchronous programing model.