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Distributed Parametric Optimization with the Geneva Library

  • Rudiger Berlich
  • Sven Gabriel
  • Ariel Garcia
  • Marcel Kunze
Conference paper

Abstract

Geneva is an Open Source library implemented in C++, targetted at large-scale parametric optimization problems. One of its strengths is the ability to run on resources ranging from multi-core machines over clusters to Grids and Clouds. This paper describes Geneva’s architecture and performance, as well as intended deployment scenarios.

Keywords

Candidate Solution Client Application Work Item Serial Execution Karlsruhe Institute 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Dr. Rudiger Berlich; PhD Thesis; Ruhr-Universit at Bochum; February 2003; Application of Evolutionary Strategies to Automated Parametric Optimization Studies in Physics ResearchGoogle Scholar
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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Rudiger Berlich
    • 1
  • Sven Gabriel
    • 2
  • Ariel Garcia
    • 1
  • Marcel Kunze
    • 1
  1. 1.Karlsruhe Institute of Technology, Steinbuch Centre for ComputingKarlsruheGermany
  2. 2.Gemfony scientificGenevaSwitzerland

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