A meta-heuristic approach to parallel code generation

Barry McCollum, Patrick Corr, Peter Milligan

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

1 Citation (Scopus)

Abstract

The efficient generation of parallel code for multi-processor environments, is a large and complicated issue. Attempts to address this problem have always resulted in significant input from users. Because of constraints on user knowledge and time, the automation of the process is a promising and practically important research area. In recent years heuristic approaches have been used to capture available knowledge and make it available for the parallelisation process. Here, the introduction of a novel approach of neural network techniques is combined with an expert system technique to enhance the availability of knowledge to aid in the automatic generation of parallel code.
Original languageEnglish
Title of host publicationHigh Performance Computing for Computational Science: VECPAR 2002
Pages693-702
Number of pages10
Volume2565
DOIs
Publication statusPublished - 2003

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume2565
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Computer Science(all)
  • Theoretical Computer Science

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