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Modelling continuum mechanics phenomena using three dimensional unstructured meshes on massively parallel processors

Modelling continuum mechanics phenomena using three dimensional unstructured meshes on massively parallel processors

McManus, Kevin, Johnson, Steve, Leggett, Peter and Cross, Mark (1998) Modelling continuum mechanics phenomena using three dimensional unstructured meshes on massively parallel processors. In: Parallel Computational Fluid Dynamics 1997: Recent Developments and Advances Using Parallel Computers. Elsevier B.V., pp. 553-560. ISBN 978-0-444-82849-1 (doi:10.1016/B978-044482849-1/50066-X)

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Abstract

The difficulties encountered in implementing large scale CM codes on multiprocessor systems are now fairly well understood. Despite the claims of shared memory architecture manufacturers to provide effective parallelizing compilers, these have not proved to be adequate for large or complex programs. Significant programmer effort is usually required to achieve reasonable parallel efficiencies on significant numbers of processors. The paradigm of Single Program Multi Data (SPMD) domain decomposition with message passing, where each processor runs the same code on a subdomain of the problem, communicating through exchange of messages, has for some time been demonstrated to provide the required level of efficiency, scalability, and portability across both shared and distributed memory systems, without the need to re-author the code into a new language or even to support differing message passing implementations. Extension of the methods into three dimensions has been enabled through the engineering of PHYSICA, a framework for supporting 3D, unstructured mesh and continuum mechanics modeling. In PHYSICA, six inspectors are used. Part of the challenge for automation of parallelization is being able to prove the equivalence of inspectors so that they can be merged into as few as possible.

Item Type: Conference Proceedings
Title of Proceedings: Parallel Computational Fluid Dynamics 1997: Recent Developments and Advances Using Parallel Computers
Pre-2014 Departments: School of Computing & Mathematical Sciences
Last Modified: 14 Oct 2016 08:59
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/275

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