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DC Field | Value | Language |
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dc.contributor.author | Groen, D | - |
dc.contributor.author | Papadopoulou, N | - |
dc.contributor.author | Anastasiadis, P | - |
dc.contributor.author | Lawenda, M | - |
dc.contributor.author | Szustak, L | - |
dc.contributor.author | Gogolenko, S | - |
dc.contributor.author | Arabnejad, H | - |
dc.contributor.author | Jahani, A | - |
dc.date.accessioned | 2023-07-26T16:09:12Z | - |
dc.date.available | 2023-07-26T16:09:12Z | - |
dc.date.issued | 2023-08-03 | - |
dc.identifier | ORCiD: Derek Groen https://orcid.org/0000-0001-7463-3765 | - |
dc.identifier | ORCiD: Nikela Papadopoulou https://orcid.org/0000-0003-2141-5654 | - |
dc.identifier | ORCiD: Marcin Lawenda https://orcid.org/0000-0003-4844-3655 | - |
dc.identifier | ORCiD: Lukasz Szustak https://orcid.org/0000-0001-7429-6981 | - |
dc.identifier | ORCiD: Sergiy Gogolenko https://orcid.org/0000-0003-4957-5377 | - |
dc.identifier | ORCiD: Hamid Arabnejad https://orcid.org/0000-0002-0789-1825 | - |
dc.identifier | ORCiD: Alireza Jahani https://orcid.org/0000-0001-9813-352X | - |
dc.identifier.citation | Groen, D. et al. (2024) 'Large-scale parallelization of Human Migration Simulation', IEEE Transactions on Computational Social Systems, 11 (2), pp. 2135 - 2146. doi: 10.1109/TCSS.2023.3292932. | en_US |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/26850 | - |
dc.description.abstract | Forced displacement of people worldwide, for example, due to violent conflicts, is common in the modern world, and today more than 82 million people are forcibly displaced. This puts the problem of migration at the forefront of the most important problems of humanity. The Flee simulation code is an agent-based modeling tool that can forecast population displacements in civil war settings, but performing accurate simulations requires nonnegligible computational capacity. In this article, we present our approach to Flee parallelization for fast execution on multicore platforms, as well as discuss the computational complexity of the algorithm and its implementation. We benchmark parallelized code using supercomputers equipped with AMD EPYC Rome 7742 and Intel Xeon Platinum 8268 processors and investigate its performance across a range of alternative rule sets, different refinements in the spatial representation, and various numbers of agents representing displaced persons. We find that Flee scales excellently to up to 8192 cores for large cases, although very detailed location graphs can impose a large initialization time overhead. | - |
dc.description.sponsorship | European Commission’s ICT Activity of the (Grant Number: H2020) Program through the HiDALGO Project (Grant Number: 824115) | en_US |
dc.format.extent | 2135 - 2146 | - |
dc.format.medium | Electronic | - |
dc.language.iso | en_US | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.rights | Copyright © 2023 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works by sending a request to pubs-permissions@ieee.org. For more information, see https://www.ieee.org/publications/rights/rights-policies.html | - |
dc.rights.uri | https://www.ieee.org/publications/rights/rights-policies.html | - |
dc.subject | migration | en_US |
dc.subject | refugees | en_US |
dc.subject | global systems science | en_US |
dc.subject | global challenges | en_US |
dc.subject | parallelization | en_US |
dc.subject | HPC | en_US |
dc.subject | AMD Rome | en_US |
dc.subject | Intel Xeon | en_US |
dc.subject | benchmarks | en_US |
dc.subject | modeling | en_US |
dc.subject | computational complexity | en_US |
dc.title | Large-scale parallelization of Human Migration Simulation | en_US |
dc.type | Article | en_US |
dc.date.dateAccepted | 2023-07-04 | - |
dc.identifier.doi | https://doi.org/10.1109/TCSS.2023.3292932 | - |
dc.relation.isPartOf | IEEE Transactions on Computational Social Systems | - |
pubs.issue | 2 | - |
pubs.publication-status | Published online | - |
pubs.volume | 11 | - |
dc.identifier.eissn | 2329-924X | - |
dc.rights.holder | Institute of Electrical and Electronics Engineers (IEEE) | - |
Appears in Collections: | Dept of Computer Science Research Papers |
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FullText.pdf | Copyright © 2023 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works by sending a request to pubs-permissions@ieee.org. For more information, see https://www.ieee.org/publications/rights/rights-policies.html | 1.96 MB | Adobe PDF | View/Open |
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