دورية أكاديمية

Scalable Parallel Algorithm of Finite Difference Lattice Boltzmann Method.

التفاصيل البيبلوغرافية
العنوان: Scalable Parallel Algorithm of Finite Difference Lattice Boltzmann Method.
المؤلفون: Lei Xu, Anping Song, Zhixiang Liu, Wu Zhang
المصدر: IAENG International Journal of Computer Science; Dec2017, Vol. 44 Issue 4, p555-561, 7p
مصطلحات موضوعية: PARALLEL algorithms, LATTICE Boltzmann methods, FINITE difference method, DOMAIN decomposition methods, COMPUTATIONAL fluid dynamics
مستخلص: The lattice Boltzmann method (LBM) has become an attractive and promising approach in computational fluid dynamics (CFD) which can be applied in a wide variety of complex fluid simulations including incompressible flow, compressible flow, microscale gas flow, single flow and multiphase flow. In this paper, the parallel algorithm of D3Q19 finite-difference LBM (FDLBM) is presented to simulate 3D lid-driven cavity flow and flow past a sphere. A 3D domain decomposition method and data exchange strategy are proposed to improve the parallel performance. Details of domain decomposition method are devised based on load balancing on large scale cluster. The numerical results on large scale cluster indicate that the presented algorithm has very good scalability and efficiency. The efficiency can achieve 86:1% on 3072 cores. [ABSTRACT FROM AUTHOR]
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