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Dynamic load balancing of distributed memory parallel computational mechanics using unstructured meshes for multi-physical modelling

Dynamic load balancing of distributed memory parallel computational mechanics using unstructured meshes for multi-physical modelling

Aravinthan, V., Johnson, S. P., McManus, K. and Walshaw, C. ORCID: 0000-0003-0253-7779 (1998) Dynamic load balancing of distributed memory parallel computational mechanics using unstructured meshes for multi-physical modelling. In: 8th International Parallel Computing Workshop, 7 - 8 September 1998, National University of Singapore, Singapore.

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Abstract

As the complexity of parallel applications increase, the performance limitations resulting from computational load imbalance become dominant. Mapping the problem space to the processors in a parallel machine in a manner that balances the workload of each processors will typically reduce the run-time. In many cases the computation time required for a given calculation cannot be predetermined even at run-time and so static partition of the problem returns poor performance. For problems in which the computational load across the discretisation is dynamic and inhomogeneous, for example multi-physics problems involving fluid and solid mechanics with phase changes, the workload for a static subdomain will change over the course of a computation and cannot be estimated beforehand. For such applications the mapping of loads to process is required to change dynamically, at run-time in order to maintain reasonable efficiency. The issue of dynamic load balancing are examined in the context of PHYSICA, a three dimensional unstructured mesh multi-physics continuum mechanics computational modelling code.

Item Type: Conference or Conference Paper (Paper)
Pre-2014 Departments: School of Computing & Mathematical Sciences
Last Modified: 14 Oct 2016 09:00
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/406

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