A Parallel Scheme Using the Divide-and-Conquer Method

  • Authors:
  • Qi Yang;Son Dao;Clement Yu;Naphtali Rishe

  • Affiliations:
  • Information Science Laboratory, Hughes Research Laboratories, Malibu, CA 90265;Information Science Laboratory, Hughes Research Laboratories, Malibu, CA 90265;Department of EECS, University of Illinois at Chicago, Chicago, IL 60607;Florida International University

  • Venue:
  • Distributed and Parallel Databases
  • Year:
  • 1997

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Abstract

A parallel scheme using the divide-and-conquermethod is developed. This partitions the input set of a problem intosubsets, computes a partial result from each subset, and finally employs amerging function to obtain the final answer. Based on a linear recursiveprogram as a tool for formalism, a precise characterization for problems tobe parallelized by the divide-and-conquer method isobtained. The performance of the parallel scheme is analyzed, and anecessary and sufficient condition to achieve linear speedup is obtained.The parallel scheme is generalized to include parameters, and a realapplication, the fuzzy join problem, is discussed indetail using the generalized scheme.