Heppenstall, A. , Polhill, J. G., Batty, M., Hare, M., Salt, D. and Milton, R. (2023) Exascale Agent-Based Modelling for Policy Evaluation in Real-Time (ExAMPLER). In: 12th International Conference on Geographic Information Science (GIScience 2023), Leeds, UK, 12-15 Sept 2023, 38:1-38:5. ISBN 9783959772884 (doi: 10.4230/LIPIcs.GIScience.2023.38)
Text
306171.pdf - Published Version Available under License Creative Commons Attribution. 580kB |
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.
Item Type: | Conference Proceedings |
---|---|
Additional Information: | Supported by the Engineering and Physical Sciences Research Council (project reference EP/Y008839/1) and the Scottish Government Rural and Environment Science and Analytical Services Division (project reference JHI-C5-1). AH was supported by grants from UKPRP (MR/S037578/2), Medical Research Council (MC_UU_00022/5) and Scottish Government Chief Scientist Office (SPHSU20). |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Heppenstall, Professor Alison |
Authors: | Heppenstall, A., Polhill, J. G., Batty, M., Hare, M., Salt, D., and Milton, R. |
College/School: | College of Social Sciences > School of Social and Political Sciences > Urban Studies |
Publisher: | Schloss Dagstuhl — Leibniz-Zentrum für Informatik |
ISSN: | 1868-8969 |
ISBN: | 9783959772884 |
Copyright Holders: | Copyright © 2023 The Authors |
First Published: | First published in Proceedings of the 12th International Conference on Geographic Information Science (GIScience 2023), Leibniz International Proceedings in Informatics (LIPIcs), Vol. 277 |
Publisher Policy: | Reproduced under a Creative Commons License |
Related URLs: |
University Staff: Request a correction | Enlighten Editors: Update this record