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A Cluster Based Load-Balancing Method for Multi-Computer Based Solution-Adaptive Finite Element Graphs

机译:基于集群的多计算机负载自适应有限元图负载均衡方法

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Load imbalance can degrade the performance of a solution-adaptive finite element application program on a distributed memory multicomputer. To solve the load imbalance problem load of a refined finite element graph can be redistributed based on the current load of each processor. In this study, a load-balancing algorithm is applied to balance the computational load of each processor. A distributed method for load balancing is proposed which is based on the global load balancing information and current load distribution of the system. A simulation model is developed to compare the performance of the proposed method with the existing methods such as MCSTLB, BTLB and CBTLB methods. The execution time and the number of process migration required by different load balancing methods are used for performance evaluation. The experimental result shows that the proposed method is more efficient than that of the existing methods.
机译:负载不平衡会降低分布式内存多计算机上支持解决方案的有限元应用程序的性能。为了解决负载不平衡问题,可以基于每个处理器的当前负载来重新分配精炼有限元图的负载。在这项研究中,应用负载平衡算法来平衡每个处理器的计算负载。提出了一种基于全局负载均衡信息和系统当前负载分布的分布式负载均衡方法。建立了仿真模型,以比较该方法与现有方法(如MCSTLB,BTLB和CBTLB方法)的性能。性能评估使用了不同负载平衡方法所需的执行时间和进程迁移数。实验结果表明,该方法比现有方法具有更高的效率。

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