Paragen: A Novel Technique for the Autoparallelisation of Sequential Programs using Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{walsh:1996:Paragen,
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author = "Paul Walsh and Conor Ryan",
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title = "Paragen: A Novel Technique for the Autoparallelisation
of Sequential Programs using Genetic Programming",
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booktitle = "Genetic Programming 1996: Proceedings of the First
Annual Conference",
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editor = "John R. Koza and David E. Goldberg and
David B. Fogel and Rick L. Riolo",
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year = "1996",
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month = "28--31 " # jul,
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keywords = "genetic algorithms, genetic programming, genetic
improvement, SBSE",
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pages = "406--409",
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address = "Stanford University, CA, USA",
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publisher = "MIT Press",
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isbn13 = "9780262315876",
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URL = "http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap56.pdf",
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URL = "http://cognet.mit.edu/library/books/view?isbn=0262611279",
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size = "6 pages",
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abstract = "The Paragen system is a new technique for the
automatic conversion of sequential programs into
functionally equivalent parallel programs. This
technique uses GP to generate a highly parallel program
from an original sequential program, while preserving
functionality. We show that a genetic search avoids the
complexities introduced by standard data dependency
techniques and can also introduce further efficiencies
by automatically reordering program statements. This
paper gives a brief introduction to the problem of
autoparallelisation followed by a discussion of the
design and implementation issues of the system. Results
demonstrate the effectiveness of the Paragen system by
the automatic conversion of a number of complex program
segments.",
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notes = "GP-96",
- }
Genetic Programming entries for
Paul J Walsh
Conor Ryan
Citations