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Performance comparison of parallel ILU preconditioners for the incompressible Navier-Stokes equations

机译:不可压缩Navier-Stokes方程的平行ILU预处理器的性能比较

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摘要

In this paper, the performances of various ILU type parallel preconditioners for the finite element discretization of the incompressible Naiver-Stokes equations have been investigated. The solution algorithm of the incompressible Navier-Stokes equation is based on a fractional 4-step method combined with P1P1 finite element and the parallel preconditioners have been implemented by using the domain decomposition method and MPI library. The performances have been measured for momentum and pressure equation, respectively. The speedup of the pressure equation is found to be less than that of the momentum equation because the pressure equation requires a larger communication overhead by a larger iteration numbers of an iterative solver while element-matrix generation and assemble process is nearly scalable for both equations. The performance of the parallel preconditioners are dependent on time-step size, the Reynolds number and the number of the domains. Although BIWO (block ILU without overlapping) works well both for momentum and pressure equation, MDLU (modified distributed ILU(O)) is recommended for an ill-conditioned matrix or a large number of subdomains. Further, we have conducted the time complexity and spectral analysis of the preconditioned matrices to analyze the performance of the preconditioners.
机译:本文研究了针对不可压缩的Naiver-Stokes方程的有限元离散化的各种ILU型并联预处理器的性能。不可压缩的Navier-Stokes等式的解决方案算法基于分数4步骤方法与P1P1有限元组合,并通过使用域分解方法和MPI库来实现并行预处理器。已经分别针对动量和压力方程测量了性能。发现压力方程的加速度小于动量方程的加速,因为压力方程通过迭代求解器的较大迭代号需要较大的通信开销,而元素 - 矩阵生成和组装过程几乎可扩展,但是两个方程。并行预处理器的性能取决于时间步长,雷诺数和域的数量。虽然Biwo(块ILU没有重叠)既适用于动量和压力方程,但建议用于不良矩阵或大量子域的MDLU(修改的分布式ILU(O))。此外,我们已经进行了预处理基质的时间复杂性和光谱分析,以分析了预处理器的性能。

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