Semi-explicit Parareal method based on convergence acceleration technique
For researchers in parallel time integration, this is an incremental improvement to the Parareal algorithm by incorporating extrapolation-based convergence acceleration.
The authors propose a semi-explicit Parareal method that uses convergence acceleration (extrapolation) to improve solution accuracy while preserving the simplicity of explicit solvers like Euler. Numerical examples demonstrate the method's effectiveness.
The Parareal algorithm is used to solve time-dependent problems considering multiple solvers that may work in parallel. The key feature is a initial rough approximation of the solution that is iteratively refined by the parallel solvers. We report a derivation of the Parareal method that uses a convergence acceleration technique to improve the accuracy of the solution. Our approach uses firstly an explicit ODE solver to perform the parallel computations with different time-steps and then, a decomposition of the solution into specific convergent series, based on an extrapolation method, allows to refine the precision of the solution. Our proposed method exploits basic explicit integration methods, such as for example the explicit Euler scheme, in order to preserve the simplicity of the global parallel algorithm. The first part of the paper outlines the proposed method applied to the simple explicit Euler scheme and then the derivation of the classical Parareal algorithm is discussed and illustrated with numerical examples.