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High fidelity Computational Fluid Dynamics simulations are generallyassociated with large computing requirements, which are progressively acutewith each new generation of supercomputers. However, significant researchefforts are required to unlock the computing power of leading-edge systems,currently referred to as pre-Exascale systems, based on increasingly complexarchitectures. In this paper, we present the approach implemented in thecomputational mechanics code Alya. We describe in detail the parallelizationstrategy implemented to fully exploit the different levels of parallelism,together with a novel co-execution method for the efficient utilization ofheterogeneous CPU/GPU architectures. The latter is based on a multi-codeco-execution approach with a dynamic load balancing mechanism. The assessmentof the performance of all the proposed strategies has been carried out forairplane simulations on the POWER9 architecture accelerated with NVIDIA VoltaV100 GPUs.

Heterogeneous CPU/GPU co-execution of CFD simulations on the POWER9 architecture: Application to airplane aerodynamics