Simplifying explicit subtyping coercions in a polymorphic calculus with effects
Filip Koprivec, Matija Pretnar
TL;DR
This paper tackles the performance cost of explicit subtyping coercions in a polymorphic, effectful calculus by introducing a structured, semantics-preserving simplification pipeline. It defines a CoreEff language with explicit dirt and coercions, develops a polarity-based framework to safely reduce type and dirt constraints, and proves denotational preservation of the simplifications. The authors implement the approach in Eff, showing that the simplified polymorphic code matches manually monomorphised performance across benchmarks while drastically reducing coercion parameters and monadic overhead. This work enables scalable, modular handling of algebraic effects without sacrificing efficiency, and it outlines concrete avenues for future refinement and broader applicability.
Abstract
Algebraic effect handlers are becoming an increasingly popular way of structuring effectful computations, and their performance is often a concern. One of the proposed approaches towards efficient compilation is tracking effect information through explicit subtyping coercions. However, in the presence of polymorphism, these coercions are compiled into additional arguments of compiled functions, incurring significant overhead. In this paper, we present a polymorphic effectful calculus, identify simplification phases needed to reduce the number of unnecessary constraints, and prove that they preserve semantics. In addition, we implement the simplification algorithm in the Eff language and evaluate its performance on a number of benchmarks. Though we do not prove the optimality of the presented simplifications, the results show that the algorithm eliminates all coercions, resulting in code as efficient as manually monomorphised one.
