• Optimization techniques for the sparse matrix vector multiplication are adopted in programming.

    编程采用了稀疏矩阵向量相乘优化技术

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  • The load-balanced multiplication of a large sparse matrix with vector on workstation cluster is considered.

    考虑工作站机群上实现大型稀疏矩阵向量负载平衡。

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  • Then, large sequence and sequential patterns are all out pass the vector of matrix multiplication operator corresponding to the elements and simple addition operations have been.

    接下来序列序列模式等通过矩阵的列向量对应元素相乘运算简单加法运算得到

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  • First summarizes the differences on principle between two kinds of parallel algorithm of matrix-vector multiplication, namely, divided by row and divided by column.

    文中首先总结划分划分并行矩阵向量乘法原理异同

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  • It reduces greatly the computational complexity of matrix-vector multiplication in conjugate gradient iteration improves the efficiency of MLFMA while the reasonable accuracy is maintained.

    方法保证合理计算精度同时大大降低迭代过程矩阵矢量相乘计算复杂度提高了多层快速多极子方法计算效率

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  • The algorithm calculated the wave front slope by a reusing core module manner and complemented the wave front reconstruction with the decomposition of matrix-vector multiplication.

    算法基于重复利用核心模块的方式完成斜率计算,利用矩阵向量相乘分解性完成波前复原计算。

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  • The algorithm calculated the wave front slope by a reusing core module manner and complemented the wave front reconstruction with the decomposition of matrix-vector multiplication.

    算法基于重复利用核心模块的方式完成斜率计算,利用矩阵向量相乘分解性完成波前复原计算。

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