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并行矩阵电力计算中数据稀疏度的应用

Exploiting Data Sparsity in Parallel Matrix Powers Computations

作者:Nicholas Knight;Erin Carson;James Demmel 作者单位:University of California at Berkeley 加工时间:2013-11-22 信息来源:EECS 索取原文[18 页]
关键词:移动数据;并行通讯;并行矩阵
摘 要:In this work, we derive a new parallel communication-avoiding matrix powers algorithm for matrices of the form A = D+USV H, where D is sparse and USV H has low rank but may be dense. Matrices of this form arise in many practical applications, including power-law graph analysis, circuit simulation, and algorithms involving hierarchical (H) matrices, such as multigrid methods, fast multipole methods, numerical partial di erential equation solvers, and preconditioned iterative methods.
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