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The Block Parallel Computation of Matrix Tensor Production

机译:矩阵张量产生的块并行计算

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摘要

In matrix computation, the computation of matrix tensor product is an important problem. Compared with its multiplication, the computing amount of tensor product is huger. Based on analyzing its mathematical properties, a result is proved that two matrices tensor operation can be exchanged in the sense of permuted similar, and the convenient method for constructing the permutation matrix is given. Furthermore, a conclusion is obtained that tensor product of block matrixes can be block calculated in the sense of permuted similar. Based on these, the parallel computing models of matrix tensor product are proposed. From an example, the thought and process of the algorithm are showed.
机译:在矩阵计算中,矩阵张量积的计算是一个重要的问题。与它的乘法相比,张量积的计算量更大。在分析其数学性质的基础上,证明了在置换相似的意义上可以交换两个矩阵张量运算,并给出了构造置换矩阵的简便方法。此外,得出的结论是,块矩阵的张量积可以在排列相似的意义上进行块计算。在此基础上,提出了矩阵张量积的并行计算模型。通过一个例子,说明了算法的思想和过程。

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