A partitioning approach for object-oriented software development for parallel processing systems

Stephen S. Yau, Doo Hwan Bae, Gilda Pour

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

4 Scopus citations

Abstract

Existing partitioning approaches for distributed and parallel processing systems are not suitable for partitioning in object-oriented software development for parallel processing systems mainly due to the lack of shared data concept. In this paper, a partitioning approach for object-oriented software development for parallel processing systems is presented. The objective of our partitioning approach is to improve the overall performance of a software system by minimizing communication cost among processors and exploiting potential parallelism among objects. The software system is modeled by a graph, and a bottom-up clustering technique is presented to partition the objects into a set of clusters to achieve our goal.

Original languageEnglish (US)
Title of host publicationProceedings - COMPSAC 1992
Subtitle of host publication16th Annual International Computer Software and Applications Conference
PublisherIEEE Computer Society
Pages251-256
Number of pages6
ISBN (Electronic)0818630000
DOIs
StatePublished - 1992
Externally publishedYes
Event16th Annual International Computer Software and Applications Conference, COMPSAC 1992 - Chicago, United States
Duration: Sep 21 1992Sep 25 1992

Publication series

NameProceedings - International Computer Software and Applications Conference

Conference

Conference16th Annual International Computer Software and Applications Conference, COMPSAC 1992
Country/TerritoryUnited States
CityChicago
Period9/21/929/25/92

ASJC Scopus subject areas

  • Software
  • Computer Science Applications

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