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Parallel performance in multi-physics simulation

Parallel performance in multi-physics simulation

McManus, Kevin, Cross, Mark, Walshaw, Chris ORCID logoORCID: https://orcid.org/0000-0003-0253-7779, Croft, Nick and Williams, Alison (2002) Parallel performance in multi-physics simulation. In: Computational Science - ICCS 2002: International Conference Amsterdam, The Netherlands, April 21–24, 2002 Proceedings. Lecture Notes in Computer Science, II (2330). Springer Berlin Heidelberg, Berlin, Heidelberg, Germany, pp. 806-815. ISBN 9783540435938 ISSN 0302-9743 (doi:10.1007/3-540-46080-2_85)

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Abstract

A comprehensive simulation of solidification/melting processes requires the simultaneous representation of free surface fluid flow, heat transfer, phase change, non-linear solid mechanics and, possibly, electromagnetics together with their interactions in what is now referred to as "multi-physics" simulation. A 3D computational procedure and software tool, PHYSICA, embedding the above multi-physics models using finite volume methods on unstructured meshes (FV-UM) has been developed. Multi-physics simulations are extremely compute intensive and a strategy to parallelise such codes has, therefore, been developed. This strategy has been applied to PHYSICA and evaluated on a range of challenging multi-physics problems drawn from actual industrial cases.

Item Type: Conference Proceedings
Title of Proceedings: Computational Science - ICCS 2002: International Conference Amsterdam, The Netherlands, April 21–24, 2002 Proceedings
Additional Information: [1] This paper was first presented at the International Conference Computational Science (ICCS 2002), held from 21-24 April 2002 in Amsterdam, The Netherlands. [2] ISBN: 978-3-540-43593-8 (Print); 978-3-540-46080-0 (Online).
Uncontrolled Keywords: theory of computation, software engineering/programming and operating systems, mathematics of computing, computer cmmunication networks, computational mathematics and numerical analysis, mathematical and computational physics
Subjects: Q Science > QA Mathematics > QA76 Computer software
Q Science > QC Physics
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 Science & Engineering Group
School of Computing & Mathematical Sciences > Computer & Computational Science Research Group
School of Computing & Mathematical Sciences > Department of Computer Science
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
School of Computing & Mathematical Sciences > eCentre
Related URLs:
Last Modified: 14 Oct 2016 09:00
URI: http://gala.gre.ac.uk/id/eprint/541

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