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    Dynamic Load Balancing for Adaptive Meshes using Symmetric Broadcast Networks (1998)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: Many scientific applications involve grids that lack a uniform underlying structure. These applications are often dynamic in the sense that the grid structure significantly changes between successive phases of execution. In parallel computing environments, mesh adaptation of grids through selective refinement/coarsening has proven to be an effective approach. However, achieving load balance while minimizing inter-processor communication and redistribution costs is a difficult problem. Traditional dynamic load balancers are mostly inadequate because they lack a global view across processors. In this paper, we compare a novel load balancer that utilizes symmetric broadcast networks (SBN) to a successful global load balancing environment (PLUM) created to handle adaptive unstructured applications. Our experimental results on the IBM SP2 demonstrate that performance of the proposed SBN load balancer is comparable to results achieved under PLUM.
    Keywords: Communications and Radar
    Type: 12th ACM International Conference on Supercomputing; Jul 13, 1998 - Jul 17, 1998; Melbourne; Australia
    Format: text
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  • 2
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    Load Balancing Unstructured Adaptive Grids for CFD Problems (1996)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: Mesh adaption is a powerful tool for efficient unstructured-grid computations but causes load imbalance among processors on a parallel machine. A dynamic load balancing method is presented that balances the workload across all processors with a global view. After each parallel tetrahedral mesh adaption, the method first determines if the new mesh is sufficiently unbalanced to warrant a repartitioning. If so, the adapted mesh is repartitioned, with new partitions assigned to processors so that the redistribution cost is minimized. The new partitions are accepted only if the remapping cost is compensated by the improved load balance. Results indicate that this strategy is effective for large-scale scientific computations on distributed-memory multiprocessors.
    Keywords: Fluid Mechanics and Heat Transfer
    Type: NASA-CR-203270 , NAS 1.26:203270 , RIACS-TR-96-20 , SIAM Conference on Parallel Processing for Scientific Computing; Mar 13, 1997 - Mar 17, 1997; Minneapolis, MN; United States
    Format: application/pdf
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