1 resultado para computational complexity
em Greenwich Academic Literature Archive - UK
Filtro por publicador
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- Université de Lausanne, Switzerland (82)
- Université de Montréal (1)
- Université de Montréal, Canada (15)
- University of Michigan (7)
- University of Queensland eSpace - Australia (50)
- University of Southampton, United Kingdom (5)
Resumo:
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.