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Parallel commutation of sparse linear systems on many core processor

机译:许多核心处理器上的稀疏线性系统的并行换向

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In this paper, the authors describe the parallel implementation of a conjugate gradient method in a many-core system specially for solving the sparse linear systems. The new version of algorithm implementation differs from the one applied earlier [1], because it uses a special method for storing sparse coefficient matrices: only non-zero elements are stored and taken into account during computations, so that the sparsity of the coefficient matrix is taken full advantage of. Finally, A speedup of the parallel algorithm has been examined for different coefficient sparse matrices resulting in solving different physical problems.
机译:在本文中,作者描述了共轭梯度法在多核系统中的并行实现,专门用于解决稀疏线性系统。新版本的算法实现与之前应用的算法不同[1],因为它使用一种特殊的方法来存储稀疏系数矩阵:在计算过程中仅存储并考虑了非零元素,因此系数矩阵的稀疏性被充分利用。最后,针对不同系数的稀疏矩阵,研究了并行算法的加速性能,从而解决了不同的物理问题。

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