The fast hartley transform on the hypercube multiprocessors

Xinming Lin, Tony F. Chart, Walter J. Karplus

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

2 Scopus citations

Abstract

The Fast Hartley Transform is a promising alternative to the Fast Fourier Transform when the processed data are real numbers. The hypercube implementation of the FHT is largely dependent on the way the computation is partitioned. A partitioning algorithm is presented which generates evenly-loaded tasks on each node and demands only a regular communication topology -The Hartley graph. Mapping from the Hartley graph to the Gray graph (binary n-cube) is straightforward, since the Hartley graph has a similar structure as the Gray graph. However, the communication is not always between the nearest neighbors and thus may take some extra time. Moreover, the slowness of the communication in the presently available architectures imposes a limitation on the speedup when a large number of processors are used.

Original languageEnglish (US)
Title of host publicationProceedings of the 3rd Conference on Hypercube Concurrent Computers and Applications, C3P 1988
EditorsGeoffrey Fox
PublisherAssociation for Computing Machinery, Inc
Pages1451-1454
Number of pages4
ISBN (Electronic)0897912780, 9780897912785
DOIs
StatePublished - Jan 3 1989
Externally publishedYes
Event3rd Conference on Hypercube Concurrent Computers and Applications, C3P 1988 - Pasadena, United States
Duration: Jan 19 1988Jan 20 1988

Publication series

NameProceedings of the 3rd Conference on Hypercube Concurrent Computers and Applications: Architecture, Software, Computer Systems, and General Issues, C3P 1988
Volume2

Conference

Conference3rd Conference on Hypercube Concurrent Computers and Applications, C3P 1988
Country/TerritoryUnited States
CityPasadena
Period01/19/8801/20/88

Bibliographical note

Publisher Copyright:
© ACM 1988 0-89791-278-0/88/0007/1592.

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Graphics and Computer-Aided Design
  • Software
  • Computer Science Applications

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