  In this paper the Micro-Macro Parareal algorithm was adapted to PDEs. The
parallel-in-time approach requires two meshes of different spatial resolution
in order to compute approximations in an iterative way to a predefined
reference solution. When fast convergence in few iterations can be accomplished
the algorithm is able to generate wall-time reduction in comparison to the
serial computation. We chose the laminar flow around a cylinder benchmark on
2-dimensional domain which was simulated with the open-source software
OpenFoam. The numerical experiments presented in this work aim to approximate
states local in time and space and the diagnostic lift coefficient. The
Reynolds number is gradually increased from 100 to 1,000, before the transition
to turbulent flows sets in. After the results are presented the convergence
behavior is discussed with respect to the Reynolds number and the applied
interpolation schemes.
