Heterogeneous CPU/GPU co-execution of CFD simulations on the POWER9 architecture: Application to airplane aerodynamics
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Cita com:
hdl:2117/187527
Tipus de documentArticle
Data publicació2020-06
EditorElsevier
Condicions d'accésAccés obert
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
ProjecteEXCELLERAT - The European Centre of Excellence for Engineering Applications (EC-H2020-823691)
Exa-FireFlows - Exascale framework for supporting high-fidelity simulations of multiphase reacting flows in complex geometries (EC-H2020-846139)
METODOS DE ALTA PRECISION PARA EL DISEÑO DE AERONAVES DE NUEVA GENERACION (AEI-TRA2017-88508-R)
Exa-FireFlows - Exascale framework for supporting high-fidelity simulations of multiphase reacting flows in complex geometries (EC-H2020-846139)
METODOS DE ALTA PRECISION PARA EL DISEÑO DE AERONAVES DE NUEVA GENERACION (AEI-TRA2017-88508-R)
Abstract
High fidelity Computational Fluid Dynamics simulations are generally associated with large computing requirements, which are progressively acute with each new generation of supercomputers. However, significant research efforts are required to unlock the computing power of leading-edge systems, currently referred to as pre-Exascale systems, based on increasingly complex architectures. In this paper, we present the approach implemented in the computational mechanics code Alya. We describe in detail the parallelization strategy implemented to fully exploit the different levels of parallelism, together with a novel co-execution method for the efficient utilization of heterogeneous CPU/GPU architectures. The latter is based on a multi-code co-execution approach with a dynamic load balancing mechanism. The assessment of the performance of all the proposed strategies has been carried out for airplane simulations on the POWER9 architecture accelerated with NVIDIA Volta V100 GPUs.
CitacióBorrell, R. [et al.]. Heterogeneous CPU/GPU co-execution of CFD simulations on the POWER9 architecture: Application to airplane aerodynamics. "Future Generation Computer Systems", Juny 2020, vol. 107, p. 31-48.
ISSN0167-739X
Altres identificadorshttps://arxiv.org/abs/2005.05899
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