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A parallel nonlinear multigrid solver for unsteady incompressible flow simulation on multi-GPU cluster
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A parallel nonlinear multigrid solver for unsteady incompressible flow simulation on multi-GPU cluster

Xiaolei Shi, Tanmay Agrawal, Chao-An Lin, Feng-Nan HwangTzu-Hsuan Chiu
Journal of Computational Physics, 卷.414, 109447
08/2020

摘要

Artificial compressibility method Dual-time stepping FAS V-cycle scheme Incompressible flow Multi-GPU Navier-Stokes equations Numerical Analysis Modeling and Simulation Physics and Astronomy (miscellaneous) Physics and Astronomy (all) Computer Science Applications Computational Mathematics Applied Mathematics
A nonlinear multigrid solver for solutions of unsteady three-dimensional incompressible viscous flow working on multi-GPU cluster is developed. The solver consists of a full approximation scheme (FAS) V-cycle scheme to accelerate the computation, in which the artificial compressibility method based Navier-Stokes solver is used as a smoother. Multi-stream overlapping strategies are designed to assist multi-GPU computations. The numerical procedure is validated by computing 3D laminar and turbulent flows within a lid-driven cubic cavity. The predicted results compare favorably with previous benchmark solutions and measurements, both in mean and turbulent quantities. For the performance of the FAS V-cycle scheme, up to two orders of magnitude speedups are reported, and the relationship between work unit (WU) and total grid number N is O(N 0.3 ) under the deepest FAS V-cycle. A detailed evaluation of the GPU implementation is carried out employing the Roofline model and the scalability analysis.

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