Parallel algorithms for solution of tridiagonal systems on multicomputers

Xian He Sun, Hong Zhang Sun, Lionel M. Ni

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

17 Citations (Scopus)

Abstract

Three parallel algorithms, namely the parallel partition LU (PPT) algorithm, the parallel partition hybrid (PPH) algorithm, and the parallel diagonal dominant (PDD) algorithm are proposed for solving tridiagonal linear systems on multicomput-ers. These algorithms are based on the divide-and-conquer parallel computation model. The PPT and PPH algorithms support both pivoting and non-pivoting. The PPT algorithm is good when the number of processors is small; otherwise, the PPH algorithm is better. When the system is diagonal dominant, the PDD algorithm is highly parallel and provides an approximate solution which equals to the exact solution within machine accuracy. Both computation and communication complexities of the three algorithms are presented. All three methods proposed in this paper outperform other known parallel algorithms and have been implemented on a 64-node Ncube multicomputer. The analytic results matches closely with the results measured from the Ncube machine.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Supercomputing, ICS 1989
PublisherAssociation for Computing Machinery
Pages303-312
Number of pages10
ISBN (Electronic)0897913094
DOIs
Publication statusPublished - 1 Jun 1989
Externally publishedYes
Event3rd International Conference on Supercomputing, ICS 1989 - Crete, Greece
Duration: 5 Jun 19899 Jun 1989

Publication series

NameProceedings of the International Conference on Supercomputing
VolumePart F130180

Conference

Conference3rd International Conference on Supercomputing, ICS 1989
Country/TerritoryGreece
CityCrete
Period5/06/899/06/89

Bibliographical note

Publisher Copyright:
© 1989 ACM.

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