Types for Parallel Complexity in the Pi-calculus
Abstract
Type systems as a way to control or analyze programs have been largely studied in the context of functional programming languages. Some of those work allow to extract from a typing derivation for a program a complexity bound on this program. We present how to adapt this result for parallel complexity in the pi-calculus, as a model of concurrency and parallel communication. We study two notions of time complexity: the total computation time without parallelism (the work) and the computation time under maximal parallelism (the span). We define reduction relations in the pi-calculus to capture those two notions, and we present two type systems from which one can extract a complexity bound on a process. The type systems are inspired by input/output types and size types, with temporal information about communications.
Cite
@article{arxiv.1910.02145,
title = {Types for Parallel Complexity in the Pi-calculus},
author = {Patrick Baillot and Alexis Ghyselen},
journal= {arXiv preprint arXiv:1910.02145},
year = {2019}
}