Title
A Micro-Macro Parareal Algorithm: Application to Singularly Perturbed Ordinary Differential Equations.
Abstract
We introduce a micro-macro parareal algorithm for the time-parallel integration of multiscale-in-time systems. The algorithm first computes a cheap, but inaccurate, solution using a coarse propagator (simulating an approximate slow macroscopic model), which is iteratively corrected using a fine-scale propagator (accurately simulating the full microscopic dynamics). This correction is done in parallel over many subintervals, thereby reducing the wall-clock time needed to obtain the solution, compared to the integration of the full microscopic model over the complete time interval. We provide a numerical analysis of the algorithm for a prototypical example of a micro-macro model, namely, singularly perturbed ordinary differential equations. We show that the computed solution converges to the full microscopic solution (when the parareal iterations proceed) only if special care is taken during the coupling of the microscopic and macroscopic levels of description. The error bound depends on the modeling error of the approximate macroscopic model. We illustrate these results with numerical experiments.
Year
DOI
Venue
2013
10.1137/120872681
SIAM JOURNAL ON SCIENTIFIC COMPUTING
Keywords
Field
DocType
micro-macro method,parallel-in-time simulation,multiscale-in-time systems
Macroscopic model,Mathematical optimization,Coupling,Ordinary differential equation,Mathematical analysis,Parareal,Parareal algorithm,Propagator,Numerical analysis,Macro,Mathematics
Journal
Volume
Issue
ISSN
35
4
1064-8275
Citations 
PageRank 
References 
5
0.44
5
Authors
3
Name
Order
Citations
PageRank
Frédéric Legoll1124.31
Tony Lelièvre2339.48
Giovanni Samaey38315.78