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A parallel multilevel preconditioned iterative pressure Poisson solver for the large-eddy simulation of turbulent flow inside a duct

机译:用于管道内部湍流大涡模拟的并行多级预处理迭代压力泊松求解器

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Turbulent Poiseuille flows inside the square duct are simulated by the large-eddy simulation based on the multilevel Schwarz preconditioned conjugate gradient pressure Poisson solver, which was developed on top of the Portable, Extensible Toolkit for Scientific Computation (PESTc). The impact of the five different matrix reordering techniques for an incomplete LU (ILU) decomposition as a subdomain solver on the overall performance of Schwarz-type preconditioners for the solution of the pressure Poisson equation are studied. The numerical results indicate that ILU of two-level fill-ins with the reverse Cuthill-McKee matrix ordering technique produces the best performance. Further investigation on the parallel performance of different multilevel methods was also conducted for two different problem sizes. It was observed that the computational cost saturates at around six-level for both the problem sizes explored. Also, though the one-level method is better for small problem size, for the larger problem size, the six-level method performs best in terms of scalability and compute time; hence, the benefit of a multilevel method is more obviously.
机译:方波内部的湍流Poiseuille流通过基于多层Schwarz预条件共轭梯度压力泊松求解器的大涡流仿真进行仿真,该求解器是在便携式可扩展科学计算工具包(PESTc)之上开发的。研究了不完全LU(ILU)分解作为子域求解器的五种不同矩阵重排序技术对Schwarz型预处理器求解压力Poisson方程的整体性能的影响。数值结果表明,采用反向Cuthill-McKee矩阵排序技术进行的两级填充的ILU产生了最佳性能。对于两个不同的问题大小,还对不同的多级方法的并行性能进行了进一步的研究。观察到,对于所探讨的两个问题大小,计算成本都在六级左右饱和。同样,尽管一级方法对于较小的问题规模更好,但对于较大的问题规模,六级方法在可伸缩性和计算时间方面表现最佳。因此,多级方法的好处更加明显。

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