Distributed orthogonal factorization

A. Pothen, P. Raghavan
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引用次数: 39

Abstract

We describe several algorithms for computing the orthogonal factorization on distributed memory multiprocessors. One of the algorithms is based on Givens rotations, two others employ column Householder transformations but with different communication schemes: broadcast and pipelined ring. A fourth algorithm is a hybrid; it uses Househlolder transformations and Givens rotations in separate phases. We present expressions for the arithmetic and communication complexity of each algorithm. The algorithms were implemented on an iPSC-286 and the observed times agree well with our analyses.
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分布正交分解
描述了分布式存储多处理器上正交分解的几种算法。其中一种算法基于Givens旋转,另外两种算法采用列户主转换,但采用不同的通信方案:广播和管道环。第四种算法是混合算法;它在不同的阶段使用householder转换和给定旋转。我们给出了每个算法的算术和通信复杂度的表达式。该算法在iPSC-286上实现,实验结果与分析结果吻合较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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