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Performance Analysis Of Massively-Parallel Computational Fluid Dynamics

AuthorsHawkes, J., Turnock, S.R., Cox, S.J., Philips, A.B., Vaz, G.
Conference/Journal11th International Conference on Hydrodynamics (ICHD 2014), Singapore
Date19 Oct 2014

As modern supercomputers edge towards exascale, their architectures are becoming more parallel. In order for computational fluid dynamics (CFD) simulations to operate efficiently on newer machines, a complete harmony between hardware, software and numerical algorithms is required. In the work presented here, a typical CFD code is instrumented, and a strong-scalability study performed to identify areas of the execution which require improvement, using the well-known KVLCC2 test case. The effects of changing discretization schemes, mesh structure, turbulence models and linear solvers are all tested. The results show that data-exchange among cores and the inner-loop pre-conditioners both have a large impact on performance in a massively-parallel environment, and should be the focus of future developments.


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