{"title":"超立方多处理机上三对角系统的前缀算法","authors":"Ö. Eğecioğlu, Ç. Koç, A. Laub","doi":"10.1145/63047.63112","DOIUrl":null,"url":null,"abstract":"The recursive doubling algorithm as developed by Stone can be used to solve a tridiagonal linear system of size <italic>n</italic> on a parallel computer with <italic>n</italic> processors using <italic>&Ogr;</italic> ( log <italic>n</italic> ) parallel arithmetic steps. Here we describe a limited processor version of the recursive doubling algorithm for the solution of tridiagonal linear systems using <italic>&Ogr;</italic> ( <italic>n / p</italic> + log <italic>p</italic> ) parallel arithmetic steps on a parallel computer with <italic>p < n</italic> 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 <italic>pn</italic> 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.","PeriodicalId":299435,"journal":{"name":"Conference on Hypercube Concurrent Computers and Applications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Prefix algorithms for tridiagonal systems on hypercube multiprocessors\",\"authors\":\"Ö. Eğecioğlu, Ç. Koç, A. Laub\",\"doi\":\"10.1145/63047.63112\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The recursive doubling algorithm as developed by Stone can be used to solve a tridiagonal linear system of size <italic>n</italic> on a parallel computer with <italic>n</italic> processors using <italic>&Ogr;</italic> ( log <italic>n</italic> ) parallel arithmetic steps. Here we describe a limited processor version of the recursive doubling algorithm for the solution of tridiagonal linear systems using <italic>&Ogr;</italic> ( <italic>n / p</italic> + log <italic>p</italic> ) parallel arithmetic steps on a parallel computer with <italic>p < n</italic> 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 <italic>pn</italic> 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.\",\"PeriodicalId\":299435,\"journal\":{\"name\":\"Conference on Hypercube Concurrent Computers and Applications\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-01-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference on Hypercube Concurrent Computers and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/63047.63112\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference on Hypercube Concurrent Computers and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/63047.63112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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。
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.