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Exascale Agent-Based Modelling for Policy Evaluation in Real-Time (ExAMPLER) (Short Paper)

Authors Alison Heppenstall , J. Gary Polhill , Mike Batty , Matt Hare , Doug Salt , Richard Milton



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Author Details

Alison Heppenstall
  • School of Social and Political Sciences, University of Glasgow, UK
J. Gary Polhill
  • The James Hutton Institute, Aberdeen, UK
Mike Batty
  • Bartlett Centre for Advanced Spatial Analysis, University College London, UK
Matt Hare
  • The James Hutton Institute, Aberdeen, UK
Doug Salt
  • The James Hutton Institute, Aberdeen, UK
Richard Milton
  • Bartlett Centre for Advanced Spatial Analysis, University College London, UK

Cite AsGet BibTex

Alison Heppenstall, J. Gary Polhill, Mike Batty, Matt Hare, Doug Salt, and Richard Milton. Exascale Agent-Based Modelling for Policy Evaluation in Real-Time (ExAMPLER) (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 38:1-38:5, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2023)
https://doi.org/10.4230/LIPIcs.GIScience.2023.38

Abstract

Exascale computing can potentially revolutionise the way in which we design and build agent-based models (ABM) through, for example, enabling scaling up, as well as robust calibration and validation. At present, there is no exascale computing operating with ABM (that we are aware of), but pockets of work using High Performance Computing (HPC). While exascale computing is expected to become more widely available towards the latter half of this decade, the ABM community is largely unaware of the requirements for exascale computing for agent-based modelling to support policy evaluation. This project will engage with the ABM community to understand what computing resources are currently used, what we need (both in terms of hardware and software) and to set out a roadmap by which to make it happen.

Subject Classification

ACM Subject Classification
  • Computing methodologies → Modeling and simulation
Keywords
  • Exascale computing
  • Agent-Based Modelling
  • Policy evaluation

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References

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