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Cartesian Genetic Programming pp 231–253Cite as

Hardware Acceleration for CGP: Graphics Processing Units

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Part of the book series: Natural Computing Series ((NCS))

Abstract

As with other forms of genetic programming, evaluation of the fitness function in CGP is a major bottleneck. Recently there has been a lot of interest in exploiting the parallel processing capabilities of the Graphics Processing Units that are found on modern graphics cards. Using these processors it is possible to greatly accelerate evaluation of CGP individuals.

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Author information

Authors and Affiliations

  1. Istituto Dalle Molle di Studi sull’Intelligenza Artificiale (IDSIA), Galleria 2, 6928, Manno, Lugano, Switzerland

    Simon L. Harding

Authors
  1. Simon L. Harding
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  2. Wolfgang Banzhaf
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Corresponding author

Correspondence to Simon L. Harding .

Editor information

Editors and Affiliations

  1. Dept. of Electronics, The University of York, Heslington, York, YO10 5DD, United Kingdom

    Julian F. Miller

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© 2011 Springer-Verlag Berlin Heidelberg

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Harding, S.L., Banzhaf, W. (2011). Hardware Acceleration for CGP: Graphics Processing Units. In: Miller, J. (eds) Cartesian Genetic Programming. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17310-3_8

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  • DOI: https://doi.org/10.1007/978-3-642-17310-3_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17309-7

  • Online ISBN: 978-3-642-17310-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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