openacc acceleration of parallel direct numerical simulation of turbulent flows

This work presents a state-of-the-art computational approach for performing large-scale simulations of turbulence on heterogeneous compute nodes. the approach proposed combines message passing interface (mpi) parallelization for distributing the computation across nodes with open accelerators (openacc) to target a graphical processing unit (gpu) acceleration. two different openacc approaches, corresponding to managed and non-managed data management, have been tested and compared. the results obtained indicate that the non-managed strategy outperforms the non-managed scheme in all cases. additionally, the non-managed gpu-accelerated approach presents an overall speedup of 6× with respect to the cpu version. finally, the capability of the resulting parallel and accelerated flow solver to perform high-fidelity simulations of turbulent flow is validated against a canonical wall-bounded fluid problem.