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Models of Systolic Processors for the Solution of Problems of Linear Algebra By the Monte-Carlo Method

机译:蒙特卡罗方法求解线性代数问题的脉动处理器模型

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摘要

Homogeneous algorithms and models of systolic processors have been obtained to solve the sets of linear algebraic equations, matrix inversion, and calculation of the largest magnitude of matrix eigenvalue. The algorithms and models derived can be modified for realization in parallel and vector computers. The models of systolic processors are capable of solving large-scale problems, since they are based on the Monte-Carlo method. In addition, the number of processor elements is independent of the problem dimension.
机译:为了解决线性代数方程组,矩阵求逆以及最大矩阵特征值的计算,已经获得了脉动处理器的同质算法和模型。可以修改导出的算法和模型,以在并行和矢量计算机中实现。脉动处理器模型基于蒙特卡洛方法,因此能够解决大规模问题。另外,处理器元件的数量与问题维度无关。

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