A co-located partitions strategy for parallel CFD-DEM couplings

In this work, a new partition-collocation strategy for the parallel execution of CFD–DEM couplings is investigated.
Having a good parallel performance is a key issue for an Eulerian-Lagrangian software that aims to be applied to
solve industrially significant problems, as the computational cost of these couplings is one of their main drawback.
The approach presented here consists in co-locating the overlapping parts of the simulation domain of each software
on the same MPI process, in order to reduce the cost of the data exchanges. It is shown how this strategy allows
reducing memory consumption and inter-process communication between CFD and DEM to a minimum and therefore
to overcome an important parallelization bottleneck identified in the literature. Three benchmarks are proposed to
assess the consistency and scalability of this approach. A coupled execution on 280 cores shows that less than 0.1%
of the time is used to perform inter-physics data exchange.