Parallelisation strategies for agent based simulation of immune systems

Kabiri Chimeh, M. orcid.org/0000-0002-2561-7926, Heywood, P., Pennisi, M. et al. (2 more authors) (2019) Parallelisation strategies for agent based simulation of immune systems. BMC Bioinformatics, 20. 579.

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 The Authors. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Keywords: Agent based modeling; GPGPU; High-performance computing; Cellular modelling; Computational modelling; Parallel simulation; FLAME GPU
Dates:
  • Accepted: 29 October 2019
  • Published: 10 December 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/N018869/1
EUROPEAN COMMISSION - HORIZON 2020777123
Depositing User: Symplectic Sheffield
Date Deposited: 20 Jan 2020 10:12
Last Modified: 20 Jan 2020 10:17
Status: Published
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: https://doi.org/10.1186/s12859-019-3181-y

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