An efficient local address generation for the block-cyclic distribution

Oh Young Kwon, Tae Geun Kim, Tack Don Han, Sung Bong Yang, Shin Dug Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In order to generate local addresses for an array section A(l:h:s) with block-cyclic distribution, an efficient compiling method is required. In this paper, two local address generation methods for the block-cyclic distribution are presented. One is a simple local address generation method that is modified from the virtual-block scheme. The other is a linear-time ΔM table construction method. The array elements of A(l:h:s) to be accessed at run-time build up a family of lines. By using the equation of the lines, a ΔM table can be generated in O(k) time. Experimental results show that a simple local address generation method has poor performance but a linear-time ΔM table generation method is faster than other algorithms in ΔM table generation time and access time for 10,000 array elements.

Original languageEnglish
Title of host publication1997 3rd International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 1997
EditorsWanlei Zhou, Andrzej Goscinski, Michael Hobbs
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages389-396
Number of pages8
ISBN (Electronic)0780342291, 9780780342293
DOIs
Publication statusPublished - 1997
Event3rd International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 1997 - Melbourne, Australia
Duration: 1997 Dec 101997 Dec 12

Publication series

Name1997 3rd International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 1997

Other

Other3rd International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 1997
Country/TerritoryAustralia
CityMelbourne
Period97/12/1097/12/12

Bibliographical note

Publisher Copyright:
© 1997 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing

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