Scalability analysis of matrix-matrix multiplication on heterogeneous clusters

骈文研究 Pub Date : 2004-07-05 DOI:10.1109/ISPDC.2004.45
A. Kalinov
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引用次数: 17

Abstract

The paper is devoted to scalability analysis of a typical linear algebra algorithm on heterogeneous clusters. We proof that traditional scalability metrics proposed for analysis of linear algebra algorithms is applicable on heterogeneous platform and investigate influence of three heterogeneous strategies of computation distribution to scalable universal matrix multiplication algorithm (SUMMA) scalability.
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异构集群上矩阵-矩阵乘法的可扩展性分析
本文对一种典型的异构集群线性代数算法的可扩展性进行了分析。证明了用于分析线性代数算法的传统可扩展性指标在异构平台上的适用性,并研究了三种异构计算分布策略对可扩展通用矩阵乘法算法(SUMMA)可扩展性的影响。
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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