Optimizing compilation of constraint handling rules in HAL

TL;DR

This paper presents methods for optimizing the compilation of Constraint Handling Rules in HAL by leveraging various program analyses to improve access efficiency and translation quality.

Contribution

It introduces techniques to analyze CHR programs for functional dependencies, symmetries, and other properties, enhancing compilation and execution efficiency.

Findings

Improved access efficiency in CHR compilation

Enhanced translation of CHRs into HAL

Effective analysis methods for CHR program properties

Abstract

In this paper we discuss the optimizing compilation of Constraint Handling Rules (CHRs). CHRs are a multi-headed committed choice constraint language, commonly applied for writing incremental constraint solvers. CHRs are usually implemented as a language extension that compiles to the underlying language. In this paper we show how we can use different kinds of information in the compilation of CHRs in order to obtain access efficiency, and a better translation of the CHR rules into the underlying language, which in this case is HAL. The kinds of information used include the types, modes, determinism, functional dependencies and symmetries of the CHR constraints. We also show how to analyze CHR programs to determine this information about functional dependencies, symmetries and other kinds of information supporting optimizations.