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Large-Scale Simulations with FLAME

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Intelligent Agents in Data-intensive Computing

Part of the book series: Studies in Big Data ((SBD,volume 14))

Abstract

This chapter presents the latest stage of the FLAME development—the high-performance environment FLAME-II and the parallel architecture designed for Graphics Processing Units, FLAMEGPU. The architecture and the performances of these two agent-based software environments are presented, together with illustrative large-scale simulations for systems from biology, economy, psychology and crowd behaviour applications.

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Acknowledgments

This work has been funded by EPSRC Grants EP/I030654/1 and EP/I030301/1 and the University of Sheffield Vice Chancellors Fellowship Scheme.

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Authors and Affiliations

  1. University of Sheffield, Sheffield, UK

    Simon Coakley, Paul Richmond, Marian Gheorghe & Mike Holcombe

  2. Software Engineering Group STFC Rutherford Apple Labs, Didcot, UK

    Shawn Chin, David Worth & Chris Greenough

Authors
  1. Simon Coakley
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  2. Paul Richmond
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  3. Marian Gheorghe
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  4. Shawn Chin
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  5. David Worth
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  6. Mike Holcombe
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  7. Chris Greenough
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Corresponding author

Correspondence to Paul Richmond .

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Editors and Affiliations

  1. Department of Computer Science, Cracow University of Technology, Cracow, Poland

    Joanna Kołodziej

  2. Faculty of Sciences, University of Lisbon, Lisboa, Portugal

    Luís Correia

  3. Computer Science Department, Universidad Carlos III de Madrid, Madrid, Spain

    José Manuel Molina

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Coakley, S. et al. (2016). Large-Scale Simulations with FLAME. In: Kołodziej, J., Correia, L., Manuel Molina, J. (eds) Intelligent Agents in Data-intensive Computing. Studies in Big Data, vol 14. Springer, Cham. https://doi.org/10.1007/978-3-319-23742-8_6

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  • DOI: https://doi.org/10.1007/978-3-319-23742-8_6

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  • Online ISBN: 978-3-319-23742-8

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