Grammatical genetic programming: Application in automatic code parallelization

Daniel Howard, J. J. Collins

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

Abstract

This novel algorithm uses standard Genetic Programming (GP) to evolve a grammar. It is applied to the automatic parallelization of sequential software. Alternative parallel schedules are generated for a computational resource constrained illustrative example demonstrating the power of the methodology.

Original languageEnglish
Title of host publicationConvergence and Hybrid Information Technology - 6th International Conference, ICHIT 2012, Proceedings
Pages217-223
Number of pages7
DOIs
Publication statusPublished - 2012
Event6th International Conference on Convergence and Hybrid Information Technology, ICHIT 2012 - Daejeon, Korea, Republic of
Duration: 23 Aug 201225 Aug 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7425 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Convergence and Hybrid Information Technology, ICHIT 2012
Country/TerritoryKorea, Republic of
CityDaejeon
Period23/08/1225/08/12

Keywords

  • Artificial Intelligence
  • Automatic Parallelization
  • Evolutionary Computation
  • Genetic Programming
  • Grammatical Genetic Programming
  • Parallel Compilers
  • Parallel Computing

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