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Multi-tiered algorithms for 2-dimensional bin packing

  • SUNY Buffalo
  • University of Michigan, Ann Arbor

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

4 Scopus citations

Abstract

This research is concerned with approximation algorithms for NP-hard optimization problems on hypercube multiprocessors. We investigate methods of solving such problems, focusing on the tradeoffs in running time, number of active nodes, input size, and accuracy of solution. In this paper, we consider a tiered a l p rithm framework that describes our level algorithms and we expand upon the 2-dimensional bin packing results given in [4]. The major contributions of this paper are data structures which dramatically improve the run time of the first fit and best fit algorithms presented in [4]. The results in this paper were obtained on a 32 node Intel iPSC/2.

Original languageEnglish
Title of host publicationApplications
EditorsDavid W. Walker, Quentin F. Stout
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages58-63
Number of pages6
ISBN (Electronic)0818621133, 9780818621130
DOIs
StatePublished - 1990
Event5th Distributed Memory Computing Conference, DMCC 1990 - Charleston, United States
Duration: Apr 8 1990Apr 12 1990

Publication series

NameProceedings of the 5th Distributed Memory Computing Conference, DMCC 1990
Volume1

Conference

Conference5th Distributed Memory Computing Conference, DMCC 1990
Country/TerritoryUnited States
CityCharleston
Period04/8/9004/12/90

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