超立方多处理机上三对角系统的前缀算法

Ö. Eğecioğlu, Ç. Koç, A. Laub
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引用次数: 1

摘要

Stone开发的递归加倍算法可以在n个处理器的并行计算机上使用&Ogr;(log n)个并行算术步骤。在这里,我们描述了一个有限处理器版本的递归加倍算法,用于解决使用&Ogr;(n / p + log p)在p < n个处理器的并行计算机上的并行运算步骤。主要技术依赖于快速并行前缀算法,该算法可以使用二进制反射的Gray码有效地映射到超立方体架构上。对于pn,该算法比其顺序实现和顺序LU分解算法实现了线性加速和恒定效率。在Intel iPSC/d5超立方体多处理器上进行的数值实验证实了上述结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prefix algorithms for tridiagonal systems on hypercube multiprocessors
The recursive doubling algorithm as developed by Stone can be used to solve a tridiagonal linear system of size n on a parallel computer with n processors using &Ogr; ( log n ) parallel arithmetic steps. Here we describe a limited processor version of the recursive doubling algorithm for the solution of tridiagonal linear systems using &Ogr; ( n / p + log p ) parallel arithmetic steps on a parallel computer with p < n processors. The main technique relies on fast parallel prefix algorithms, which can be efficiently mapped on the hypercube architecture using the binary-reflected Gray code. For pn this algorithm achieves linear speed-up and constant efficiency over its sequential implementation as well as over the sequential LU decomposition algorithm. These results are confirmed by numerical experiments obtained on an Intel iPSC/d5 hypercube multiprocessor.
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