Automatic Evolution of Parallel Recursive Programs
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Chennupati:2015:EuroGP,
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author = "Gopinath Chennupati and R. Muhammad Atif Azad and
Conor Ryan",
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title = "Automatic Evolution of Parallel Recursive Programs",
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booktitle = "18th European Conference on Genetic Programming",
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year = "2015",
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editor = "Penousal Machado and Malcolm I. Heywood and
James McDermott and Mauro Castelli and
Pablo Garcia-Sanchez and Paolo Burelli and Sebastian Risi and Kevin Sim",
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series = "LNCS",
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volume = "9025",
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publisher = "Springer",
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pages = "167--178",
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address = "Copenhagen",
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month = "8-10 " # apr,
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organisation = "EvoStar",
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keywords = "genetic algorithms, genetic programming, Grammatical
Evolution, GPU, Automatic Parallelization, Recursion,
Program Synthesis, OpenMP, Evolutionary
Parallelization: Poster",
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isbn13 = "978-3-319-16500-4",
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DOI = "doi:10.1007/978-3-319-16501-1_14",
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size = "12 pages",
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abstract = "Writing recursive programs for fine-grained task-level
execution on parallel architectures, such as the
current generation of multi-core machines, often
require the application of skilled parallelization
knowledge to fully realize the potential of the
hardware. This paper automates the process by using
Grammatical Evolution (GE) to exploit the multi-cores
through the evolution of natively parallel programs. We
present Multi-core Grammatical Evolution (MCGE-II),
which employs GE and OpenMP specific pragmatic
information to automatically evolve task-level parallel
recursive programs. MCGE-II is evaluated on six
recursive C programs, and we show that it solves each
of them using parallel code. We further show that
MCGE-II significantly decreases the parallel
computational effort as the number of cores increase,
when tested on an Intel processor.",
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notes = "Part of \cite{Machado:2015:GP} EuroGP'2015 held in
conjunction with EvoCOP2015, EvoMusArt2015 and
EvoApplications2015",
- }
Genetic Programming entries for
Gopinath Chennupati
R Muhammad Atif Azad
Conor Ryan
Citations