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A comparative analysis of parallel processing and super-individual methods for improving the computational performance of a large individual-based model

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  • Parry, Hazel R.
  • Evans, Andrew J.

Abstract

Individual-based modelling approaches are being used to simulate larger complex spatial systems in ecology and in other fields of research. Several novel model development issues now face researchers: in particular how to simulate large numbers of individuals with high levels of complexity, given finite computing resources. A case study of a spatially-explicit simulation of aphid population dynamics was used to assess two strategies for coping with a large number of individuals: the use of ‘super-individuals’ and parallel computing. Parallelisation of the model maintained the model structure and thus the simulation results were comparable to the original model. However, the super-individual implementation of the model caused significant changes to the model dynamics, both spatially and temporally. When super-individuals represented more than around 10 individuals it became evident that aggregate statistics generated from a super-individual model can hide more detailed deviations from an individual-level model. Improvements in memory use and model speed were perceived with both approaches. For the parallel approach, significant speed-up was only achieved when more than five processors were used and memory availability was only increased once five or more processors were used. The super-individual approach has potential to improve model speed and memory use dramatically, however this paper cautions the use of this approach for a density-dependent spatially-explicit model, unless individual variability is better taken into account.

Suggested Citation

  • Parry, Hazel R. & Evans, Andrew J., 2008. "A comparative analysis of parallel processing and super-individual methods for improving the computational performance of a large individual-based model," Ecological Modelling, Elsevier, vol. 214(2), pages 141-152.
  • Handle: RePEc:eee:ecomod:v:214:y:2008:i:2:p:141-152
    DOI: 10.1016/j.ecolmodel.2008.02.002
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    Cited by:

    1. Wallentin, Gudrun & Neuwirth, Christian, 2017. "Dynamic hybrid modelling: Switching between AB and SD designs of a predator-prey model," Ecological Modelling, Elsevier, vol. 345(C), pages 165-175.
    2. Castellani, Marco & Våge, Selina & Strand, Espen & Thingstad, T. Frede & Giske, Jarl, 2013. "The Scaled Subspaces Method: A new trait-based approach to model communities of populations with largely inhomogeneous density," Ecological Modelling, Elsevier, vol. 251(C), pages 173-186.
    3. Hofmann Elizondo, Urs & Vogt, Meike, 2022. "Individual-based modeling of shelled pteropods," Ecological Modelling, Elsevier, vol. 468(C).

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