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OpenACC Acceleration of Parallel Direct Numerical Simulation of Turbulent Flows.

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Titel: OpenACC Acceleration of Parallel Direct Numerical Simulation of Turbulent Flows.
Autoren: Abdellatif, Ahmed, Grau, Joan, Torres, Ricardo, Jofre, Lluís
Quelle: Journal of Applied & Computational Mechanics; Apr2025, Vol. 11 Issue 2, p425-438, 14p
Schlagwörter: TURBULENT flow, GRAPHICS processing units, SIMULATION methods & models, PARALLEL programming, COMPUTATIONAL fluid dynamics, PARALLEL processing, DATA management
Abstract: 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 6x 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. [ABSTRACT FROM AUTHOR]
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Abstract: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 6x 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. [ABSTRACT FROM AUTHOR]
ISSN:23834536
DOI:10.22055/jacm.2024.47026.4646