A Parareal algorithm without Coarse Propagator?Open Access

Gander, Martin J; Ohlberger, Mario; Rave, Stephan

Research article in edited proceedings (conference) | Peer reviewed

Abstract

The Parareal algorithm was invented in 2001 in order to parallelize the solution of evolution problems in the time direction. It is based on parallel fine time propagators called F and sequential coarse time propagators called G, which alternatingly solve the evolution problem and iteratively converge to the fine solution. The coarse propagator G is a very important component of Parareal, as one sees in the convergence analyses. We present here for the first time a Parareal algorithm without coarse propagator, and explain why this can work very well for parabolic problems. We give a new convergence proof for coarse propagators approximating in space, in contrast to the more classical coarse propagators which are approximations in time, and our proof also applies in the absence of the coarse propagator. We illustrate our theoretical results with numerical experiments, and also explain why this approach can not work for hyperbolic problems.

Details about the publication

EditorsBjørstad, Petter; Cai, Xiao-Chuan; Dolean, Victorita; Keyes, David E.; Kornhuber, Ralf; Xu, Jinchao; Cai Xiao-Chuan
Book titleDomain Decomposition Methods in Science and Engineering XXVIII
Page range263-279
PublisherSpringer Publishing
Place of publicationCham
Title of seriesLecture Notes in Computational Science and Engineering (ISSN: 1439-7358)
Volume of series155
Statusaccepted / in press (not yet published)
Release year2026
Language in which the publication is writtenEnglish
ConferenceDomain Decomposition Methods in Science and Engineering XXVIII, 2024, King Abdullah University of Science and Technology, Saudi Arabia
ISBN978-3-032-26945-4
KeywordsParareal, parallel time integrator

Authors from the University of Münster

Ohlberger, Mario
Rave, Stephan