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Heterogeneous Computing for a CFD Solver on GPU/CPU Computer

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Abstract:

The high-order schemes have attracted more and more attention in computational fluid dynamics (CFD) simulations. As a kind of high-order schemes, weighted compact nonlinear schemes (WCNSs) have been widely applied. In recent years, the highly parallel graphics processing unit (GPU) is rapidly gaining maturity as a powerful engine for high performance computer. This paper studies the heterogeneous parallel computation and implementation of a high-order CFD program on Tianhe-1A supercomputer system. The CFD program is intended for the solution of the Navier-Stokes equations on multi-block Cartesian meshes for aerodynamics research. The solver utilizes the high-order WCNS scheme for space discretization and Jacobi iteration method for time discretization. The performance analyses show that the single-GPU solver achieves about 8× speed-ups relative to a serial computation on a CPU core.

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Periodical:

Advanced Materials Research (Volumes 791-793)

Pages:

1252-1255

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.791-793.1252

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Cite this paper

Online since:

September 2013

Authors:

Wei Cao, Chuan Fu Xu, Zheng Hua Wang

Keywords:

Computational Fluid Dynamics (CFD), Graphic Processing Unit (GPU), Heterogeneous Computer, WCNS

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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