On GPU Based Fitness Evaluation with Decoupled Training Partition Cardinality
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{Turner-Baggs:evoapps13,
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author = "Jazz Alyxzander Turner-Baggs and Malcolm I. Heywood",
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title = "On GPU Based Fitness Evaluation with Decoupled
Training Partition Cardinality",
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booktitle = "Applications of Evolutionary Computing,
EvoApplications 2013: EvoCOMNET, EvoCOMPLEX, EvoENERGY,
EvoFIN, EvoGAMES, EvoIASP, EvoINDUSTRY, EvoNUM, EvoPAR,
EvoRISK, EvoROBOT, EvoSTOC",
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year = "2013",
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month = "3-5 " # apr,
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editor = "Anna I. Esparcia-Alcazar and Antonio Della Cioppa and
Ivanoe {De Falco} and Ernesto Tarantino and
Carlos Cotta and Robert Schaefer and Konrad Diwold and
Kyrre Glette and Andrea Tettamanzi and
Alexandros Agapitos and Paolo Burrelli and J. J. Merelo and
Stefano Cagnoni and Mengjie Zhang and Neil Urquhart and Kevin Sim and
Aniko Ekart and Francisco {Fernandez de Vega} and
Sara Silva and Evert Haasdijk and Gusz Eiben and
Anabela Simoes and Philipp Rohlfshagen",
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series = "LNCS",
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volume = "7835",
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publisher = "Springer Verlag",
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address = "Vienna",
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publisher_address = "Berlin",
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pages = "489--498",
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organisation = "EvoStar",
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keywords = "genetic algorithms, genetic programming, GPGPU, SBB",
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isbn13 = "978-3-642-37191-2",
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DOI = "doi:10.1007/978-3-642-37192-9_49",
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size = "10 pages",
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abstract = "GPU acceleration of increasingly complex variants of
evolutionary frameworks typically assume that all the
training data used during evolution resides on the GPU.
Such an assumption places limits on the style of
application to which evolutionary computation can be
applied. Conversely, several coevolutionary frameworks
explicitly decouple fitness evaluation from the size of
the training partition. Thus, a subset of training
exemplars is coevolved with the population of evolved
individuals. In this work we articulate the design
decisions necessary to support Pareto archiving for
Genetic Programming under a commodity GPU platform.
Benchmarking of corresponding CPU and GPU
implementations demonstrates that the GPU platform is
still capable of providing a times ten reduction in
computation time.",
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notes = "nVidia GTX 660Ti. KDD 1999, Shuttle. Does not give
speed in terms of GP operations per second GPops
\cite{langdon:2008:eurogp}.
EvoApplications2013 held in conjunction with
EuroGP2013, EvoCOP2013, EvoBio'2013 and EvoMusArt2013",
- }
Genetic Programming entries for
Jazz Alyxzander Turner-Baggs
Malcolm Heywood
Citations