Computation of singular value decomposition on arrays with pipelined optical buses

Yi Pan, Mounir Hamdi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In this paper, we present parallel algorithms for solving the Singular Value Decomposition problem, which arises in many application areas. The algorithms are designed for efficient performance on two architectures, a 1-D array of processors with a single pipelined optical bus and a 2-D array of processors with multiple pipelined optical buses. Underlying the architectures is a careful design of the routing permutations that takes full advantage of the unique properties of data transmission on optical buses. Analysis of the parallel time requirements of the algorithms shows that the 1-D algorithm takes O(mn) time and the 2-D algorithm needs only O(n logm) time. The time complexities are asymptotically equivalent to those implemented on the hypercube while using substantially less hardware.

Original languageEnglish
Title of host publicationProceedings of the 1993 ACM/SIGAPP Symposium on Applied Computing
Subtitle of host publicationStates of the Art and Practice, SAC 1993
EditorsEd Deaton, George Hedrick, K.M. George, Hal Berghel
PublisherAssociation for Computing Machinery
Pages525-532
Number of pages8
ISBN (Electronic)0897915674
DOIs
Publication statusPublished - 1 Mar 1993
Externally publishedYes
Event1993 ACM/SIGAPP Symposium on Applied Computing: States of the Art and Practice, SAC 1993 - Indianapolis, United States
Duration: 14 Feb 199316 Feb 1993

Publication series

NameProceedings of the ACM Symposium on Applied Computing
VolumePart F129680

Conference

Conference1993 ACM/SIGAPP Symposium on Applied Computing: States of the Art and Practice, SAC 1993
Country/TerritoryUnited States
CityIndianapolis
Period14/02/9316/02/93

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