Type-Based complexity analysis for fork processes

  • Authors:
  • Emmanuel Hainry;Jean-Yves Marion;Romain Péchoux

  • Affiliations:
  • Université de Lorraine and LORIA, France;Université de Lorraine and LORIA, France;Université de Lorraine and LORIA, France

  • Venue:
  • FOSSACS'13 Proceedings of the 16th international conference on Foundations of Software Science and Computation Structures
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

We introduce a type system for concurrent programs described as a parallel imperative language using while-loops and fork/wait instructions, in which processes do not share a global memory, in order to analyze computational complexity. The type system provides an analysis of the data-flow based both on a data ramification principle related to tiering discipline and on secure typed languages. The main result states that well-typed processes characterize exactly the set of functions computable in polynomial space under termination, confluence and lock-freedom assumptions. More precisely, each process computes in polynomial time so that the evaluation of a process may be performed in polynomial time on a parallel model of computation. Type inference of the presented analysis is decidable in linear time provided that basic operator semantics is known.