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A Repartition And Remapping Algorithm For Dynamic Load Balancing

机译:动态负载均衡的分区和重新映射算法

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A simple, effective repartition-based and remapping-based dynamic load balancing scheme, named RARB, was proposed and has been integrated into the flow solver to solve the load imbalance problems. As first major component of RARB, a modified Recursive Coordinate Bisection (RCB) partition algorithm is exploited to repartition the computational domain due to its simplicity and efficiency once the load imbalance is detected. Two heuristic rules have been used to facilitate remapping the new partitioned sub-domains to the processors with less data communication cost. Task migration from overloaded processors to underloaded processors is the second major component of RARB and is handled in parallel by a multi-level granularity procedure. In addition, three metrics have been used as an indicator of the global view of system load. Experiments conducted on a cluster of PCs show high efficiency and accuracy of the flow solver to accomplish complex flow computations, and the effectiveness of RARB to handle the load imbalance in grid adaptations.
机译:提出了一种简单有效的基于重分配和基于重映射的动态负载均衡方案,称为RARB,并将其集成到流求解器中以解决负载不平衡问题。作为RARB的第一个主要组成部分,一旦检测到负载不平衡,便会使用一种改进的递归坐标对分(RCB)分区算法对计算域进行重新划分,原因是它的简单性和效率。已经使用两个启发式规则来以较少的数据通信成本来将新的分区子域重新映射到处理器。从超负荷处理器到低负荷处理器的任务迁移是RARB的第二个主要组成部分,由多级粒度过程并行处理。此外,三个指标已用作系统负载全局视图的指标。在一组PC上进行的实验表明,流量求解器可以高效高效地完成复杂的流量计算,并且RARB可以有效地解决电网自适应中的负载不平衡问题。

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