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ILU FACTORIZATION WELL SUITED TO THE VECTOR PROCESSOR USING A VARIANT OF THE 5-POINT DIFFERENCE SCHEME

机译:使用五点差异方案的各种变量,将ILU分解很好地适合于矢量处理器

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摘要

The implementation on the vector processor of Incomplete LU factorization in the Preconditioned Conjugate Gradient method and other Preconditioned CG-like methods for the numerical solutions of the partial differential equations is discussed. For sufficient vectorization, a variant of the standard 5-point difference scheme for 2-dimensional problems is introduced. The convergence property of ILU factorization for this variant is examined in comparison with that vectorized with the usual hyperplane ordering method for the standard 5-point difference scheme on the vector processor. The efficiency and effectiveness of this factorization for the variant of the difference scheme is demonstrated through several computational experiments. [References: 10]
机译:讨论了不完全LU分解的矢量处理器在预处理共轭梯度法和其他预处理CG类方法中求解偏微分方程数值解的实现。为了进行充分的矢量化,引入了针对二维问题的标准5点差分方案的变体。与在矢量处理器上使用标准5点差分方案的常规超平面排序方法进行矢量化的ILU分解的收敛性进行了比较。通过几个计算实验证明了这种差异化方案的因式分解的效率和有效性。 [参考:10]

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