Grandison, A.J. ORCID: 0000-0002-9714-1605, Galea, E.R. ORCID: 0000-0002-0001-6665, Patel, M.K. and Ewer, J. ORCID: 0000-0003-0609-272X (2004) The development of parallel implementation for a CFD based fire field model utilising conventional office based PCs. Journal of Applied Fire Science, 12 (2). pp. 137-157. ISSN 1044-4300 (Print), 1541-4183 (Online) (doi:https://doi.org/10.2190/AGH5-EXUR-J110-HPHE)

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Abstract

Parallel processing techniques have been used in the past to provide high performance computing resources for activities such as fire-field modelling. This has traditionally been achieved using specialized hardware and software, the expense of which would be difficult to justify for many fire engineering practices. In this article we demonstrate how typical office-based PCs attached to a Local Area Network has the potential to offer the benefits of parallel processing with minimal costs associated with the purchase of additional hardware or software. It was found that good speedups could be achieved on homogeneous networks of PCs, for example a problem composed of ~100,000 cells would run 9.3 times faster on a network of 12 800MHz PCs than on a single 800MHz PC. It was also found that a network of eight 3.2GHz Pentium 4 PCs would run 7.04 times faster than a single 3.2GHz Pentium computer. A dynamic load balancing scheme was also devised to allow the effective use of the software on heterogeneous PC networks. This scheme also ensured that the impact between the parallel processing task and other computer users on the network was minimized.

Item Type:	Article
Additional Information:	[1] CMS Ref. No: 04/84.
Uncontrolled Keywords:	parallel processing techniques, fire-field modelling, office-based PCs, Local Area Networks, CFD
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Pre-2014 Departments:	School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Mechanics & Reliability Group School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Fire Safety Engineering Group School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:	Publisher Organisation
Last Modified:	04 Mar 2020 17:26
URI:	http://gala.gre.ac.uk/id/eprint/891

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