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eVolutus: A New Platform for Evolutionary Experiments

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Parallel Processing and Applied Mathematics

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9574))

Abstract

eVolutus is a new software platform designed for modeling evolutionary and population dynamics of living organisms. Single-celled eukaryotes, foraminifera, are selected as model organisms that have occupied the marine realm for at least 500 Ma and left an extraordinary fossil record preserved in microscopic shells. This makes them ideal objects for testing general evolutionary hypotheses based on studying multiscale genotypic, phenotypic, ecologic and macroevolutionary patterns. Our platform provides a highly configurable environment for conducting evolutionary experiments at various spatiotemporal scales.

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Notes

  1. 1.

    The name “kernel” used in CUDA or OpenCL GPU programming means a short function executed by many GPU processing units in parallel.

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Acknowledgments

The research presented in the paper received partial support from Polish National Science Center (DEC-2013/09/B/ST10/01734).

Author information

Authors and Affiliations

  1. Department of Computer Science, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Kraków, Poland

    Paweł Topa, Aleksander Byrski & Maciej Bassara

  2. Institute of Computing Science, Poznan University of Technology, Piotrowo 2, 60-965, Poznan, Poland

    Maciej Komosinski & Agnieszka Mensfelt

  3. Research Centre in Cracow, ING PAN Institute of Geological Sciences, Polish Academy of Sciences, Senacka 1, 31-002, Kraków, Poland

    Paweł Topa & Jarosław Tyszka

  4. Helmholtz-Centre for Polar and Marine Research, Alfred Wegener Institute, Am Handelshafen 12, 27570, Bremerhaven, Germany

    Sebastian Rokitta

Authors
  1. Paweł Topa
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  2. Maciej Komosinski
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  3. Jarosław Tyszka
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  4. Agnieszka Mensfelt
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  5. Sebastian Rokitta
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  6. Aleksander Byrski
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  7. Maciej Bassara
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Corresponding author

Correspondence to Paweł Topa .

Editor information

Editors and Affiliations

  1. Czestochowa University of Technolog, Czestochowa, Poland

    Roman Wyrzykowski

  2. Department of Computer Science, University of Southern California, Marina Del Rey, California, USA

    Ewa Deelman

  3. Electrical Engineering & Comput. Science, University of Tennessee, Knoxville, Tennessee, USA

    Jack Dongarra

  4. Czestochowa University of Technology, Institute of Computer & Information Sci., Czestochowa, Poland

    Konrad Karczewski

  5. Department of Computer Science, AGH University of Science and Technology, Krakow, Poland

    Jacek Kitowski

  6. Systèmes d’informations, Big Data et Rec, AGH University of Science and Technology, Krakow, Poland

    Kazimierz Wiatr

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© 2016 Springer International Publishing Switzerland

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Topa, P. et al. (2016). eVolutus: A New Platform for Evolutionary Experiments. In: Wyrzykowski, R., Deelman, E., Dongarra, J., Karczewski, K., Kitowski, J., Wiatr, K. (eds) Parallel Processing and Applied Mathematics. Lecture Notes in Computer Science(), vol 9574. Springer, Cham. https://doi.org/10.1007/978-3-319-32152-3_53

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  • DOI: https://doi.org/10.1007/978-3-319-32152-3_53

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32151-6

  • Online ISBN: 978-3-319-32152-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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