Paragen: A Novel Technique for the Autoparallelisation of Sequential Programs using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{walsh:1996:Paragen,

• author = "Paul Walsh and Conor Ryan",
• title = "Paragen: A Novel Technique for the Autoparallelisation of Sequential Programs using Genetic Programming",
• booktitle = "Genetic Programming 1996: Proceedings of the First Annual Conference",
• editor = "John R. Koza and David E. Goldberg and David B. Fogel and Rick L. Riolo",
• year = "1996",
• month = "28--31 " # jul,
• keywords = "genetic algorithms, genetic programming, genetic improvement, SBSE",
• pages = "406--409",
• address = "Stanford University, CA, USA",
• publisher = "MIT Press",
• isbn13 = "9780262315876",
• URL = "http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap56.pdf",
• URL = "http://cognet.mit.edu/library/books/view?isbn=0262611279",
• size = "6 pages",
• 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.",
• notes = "GP-96",

}

Genetic Programming entries for Paul J Walsh Conor Ryan

Citations