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首页> 外文期刊>Zeitschrift fur Angewandte Mathematik und Mechanik >Performance evaluation of CGS parallel iterative solver with BILU preconditioning
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Performance evaluation of CGS parallel iterative solver with BILU preconditioning

机译：BILU预处理对CGS并行迭代求解器的性能评估

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摘要

In the present paper, the solution of large sparse systems of linear equations has been studied. Special attention was given to systems arising from discretization of the Navier-Stokes equations by the Boundary-Domain Integral Method. Systems of equations were solved using the Conjugate Gradient Squared method (CGS). As far as the preconditioner is concerned, the Block Incomplete Lower Upper decomposition method (BILU) has been used. The natural convection in a closed square cavity was used as a test example. CPU times and real times have been measured and speedup as well as efficiency factors were calculated for different cluster configuration. [References: 5]
机译：本文研究了大型稀疏线性方程组的解。特别注意了通过边界域积分法将Navier-Stokes方程离散化而产生的系统。使用共轭梯度平方法（CGS）求解方程组。就预处理器而言，已使用块不完全下限上分解法（BILU）。在封闭的方腔中的自然对流用作测试示例。已测量了CPU时间和实时时间，并针对不同的群集配置计算了速度以及效率因子。 [参考：5]

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