Attribute Grammar Genetic Programming Algorithm for Automatic Code Parallelization
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Howard:2011:ICHIT,
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author = "Daniel Howard and Conor Ryan and J. J. Collins",
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title = "Attribute Grammar Genetic Programming Algorithm for
Automatic Code Parallelization",
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booktitle = "Proceedings of the 5th International Conference on
Convergence and Hybrid Information Technology, ICHIT
2011",
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year = "2011",
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editor = "Geuk Lee and Daniel Howard and Dominik Slezak",
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volume = "6935",
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series = "Lecture Notes in Computer Science",
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pages = "250--257",
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address = "Daejeon, Korea",
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month = sep # " 22-24",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, Grammatical
Evolution, genetic improvement, Context Free Grammar,
Attribute Grammar, Parallel Computing, Automatic
Parallelisation, Evolutionary Computation, SBSE",
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isbn13 = "978-3-642-24081-2",
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DOI = "doi:10.1007/978-3-642-24082-9_31",
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abstract = "A method is presented for evolving individuals that
use an Attribute Grammar (AG) in a generative way. AGs
are considerably more flexible and powerful than the
closed , context free grammars normally employed by GP.
Rather than evolving derivation trees as in most
approaches, we employ a two step process that first
generates a vector of real numbers using standard GP,
before using the vector to produce a parse tree. As the
parse tree is being produced, the choices in the
grammar depend on the attributes being input to the
current node of the parse tree. The motivation is
automatic parallelisation or the discovery of a
re-factoring of a sequential code or equivalent
parallel code that satisfies certain performance gains
when implemented on a target parallel computing
platform such as a multicore processor. An illustrative
and a computed example demonstrate this methodology.",
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affiliation = "Howard Science Limited, 24 Sunrise, Malvern, WR14 2NJ
United Kingdom",
- }
Genetic Programming entries for
Daniel Howard
Conor Ryan
John James Collins
Citations