Building a Parallel Computer System for \$18,000 that Performs a Half Peta-Flop per Day

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@InProceedings{bennett:1999:BPCSPHPD,
  author =       "Forrest H {Bennett III} and John R. Koza and 
                 James Shipman and Oscar Stiffelman",
  title =        "Building a Parallel Computer System for \$18,000 that
                 Performs a Half Peta-Flop per Day",
  booktitle =    "Proceedings of the Genetic and Evolutionary
                 Computation Conference",
  year =         "1999",
  editor =       "Wolfgang Banzhaf and Jason Daida and 
                 Agoston E. Eiben and Max H. Garzon and Vasant Honavar and 
                 Mark Jakiela and Robert E. Smith",
  volume =       "2",
  pages =        "1484--1490",
  address =      "Orlando, Florida, USA",
  publisher_address = "San Francisco, CA 94104, USA",
  month =        "13-17 " # jul,
  publisher =    "Morgan Kaufmann",
  keywords =     "genetic algorithms, genetic programming, real world
                 applications",
  ISBN =         "1-55860-611-4",
  URL =          "http://www.genetic-programming.com/jkpdf/gecco1999beowulf.pdf",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco1999/RW-788.pdf",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco1999/RW-788.ps",
  abstract =     "Techniques of evolutionary computation generally
                 require significant computational resources to solve
                 non-trivial problems of interest. Increases in
                 computing power can be realized either by using a
                 faster computer or by parallelizing the application.
                 Techniques of evolutionary computation are especially
                 amenable to parallelization. This paper describes how
                 to build a 10-node Beowulf-style parallel computer
                 system for $18,000 that delivers about a half peta-flop
                 (1015 floating-point operations) per day on runs of
                 genetic programming. Each of the 10 nodes of the system
                 contains a 533 MHz Alpha processor and runs with the
                 Linux operating system. This amount of computational
                 power is sufficient to yield solutions (within a couple
                 of days per problem) to 14 published problems where
                 genetic programming has produced results that are
                 competitive with human-produced results.",
  notes =        "GECCO-99 A joint meeting of the eighth international
                 conference on genetic algorithms (ICGA-99) and the
                 fourth annual genetic programming conference (GP-99)",
}

Genetic Programming entries for Forrest Bennett John Koza James Shipman Oscar Stiffelman