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Converting best manual practice into generic automatable strategies for unstructured mesh parallelisation

Converting best manual practice into generic automatable strategies for unstructured mesh parallelisation

McManus, K., Johnson, S.P. and Cross, M. (1999) Converting best manual practice into generic automatable strategies for unstructured mesh parallelisation. Concurrency: Practice and Experience, 11 (11). pp. 593-614. ISSN 1040-3108 (doi:10.1002/(SICI)1096-9128(199909)11:11<593::AID-CPE446>3.0.CO;2-L)

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Abstract

The manual effort required to convert sequential computational mechanics programs into a useful, scalable parallel form is considerable. Tools that can assist in the conversion process are clearly required. Computer aided parallelisation tools (CAPTools) have been developed to generate efficient parallel code for real world structured grid application codes such as Computational Fluid Dynamics. Automatable single-program multi-data (SPMD) overlapping domain decomposition (DD) techniques established for structured grid codes have been adapted by the authors to manually parallelise unstructured mesh applications. Inspector loops have been used to provide generic techniques for the run-time support necessary to extend the capabilities of CAPTools to automatic implementation of SPMD DD techniques in the parallelisation of unstructured mesh codes. Copyright © 1999 John Wiley & Sons, Ltd.

Item Type: Article
Additional Information: [1] Published in Concurrency: Practice and Experience (September 1999) Volume 11, Issue 11 - Special Issue: Portable Software Tools for Parallel Architectures.
Uncontrolled Keywords: manual practice, unstructured mesh parallelisation
Subjects: Q Science > QA Mathematics
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 > Department of Computer Science
School of Computing & Mathematical Sciences > eCentre
Related URLs:
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/186

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