Exponential Runge-Kutta Parareal for Non-Diffusive Equations
Tommaso Buvoli, Michael L. Minion

TL;DR
This paper introduces exponential Parareal integrators to improve parallel-in-time solutions for non-diffusive equations, demonstrating enhanced convergence and reduced computational time in complex wave and dispersive systems.
Contribution
It proposes and analyzes exponential Parareal methods specifically designed for non-diffusive equations, addressing convergence issues of traditional methods.
Findings
Exponential Parareal improves convergence for hyperbolic and dispersive equations.
Numerical experiments show faster solutions compared to serial exponential integrators.
Analysis confirms stability and convergence properties of the proposed methods.
Abstract
Parareal is a well-known parallel-in-time algorithm that combines a coarse and fine propagator within a parallel iteration. It allows for large-scale parallelism that leads to significantly reduced computational time compared to serial time-stepping methods. However, like many parallel-in-time methods it can fail to converge when applied to non-diffusive equations such as hyperbolic systems or dispersive nonlinear wave equations. This paper explores the use of exponential integrators within the Parareal iteration. Exponential integrators are particularly interesting candidates for Parareal because of their ability to resolve fast-moving waves, even at the large stepsizes used by coarse propagators. This work begins with an introduction to exponential Parareal integrators followed by several motivating numerical experiments involving the nonlinear Schr\"odinger equation. These…
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Taxonomy
TopicsNumerical methods for differential equations · Model Reduction and Neural Networks · Fractional Differential Equations Solutions
