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EVALUATIONS OF LOAD BALANCING METHODS FOR MOLECULAR ORBITAL CALCULATIONS ON A HETERO-CLUSTER SYSTEM

机译:异簇系统对分子轨道计算负荷平衡方法的评价

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The heterogeneous cluster systems allow us to get high performance and low cost using new CPUs and existing CPUs. In case of adding new nodes to a cluster system, we can get higher performance CPUs than existing them with lower cost. In order to execute an application on the heterogeneous cluster systems efficiently, the task scheduler have to strike a balance between node's performance and the amount of the tasks. The purpose of our work is to propose the best load balancing method(including the scheduler) of Molecular Orbital Calculations on the heterogeneous cluster system. In the task scheduler, we have implemented static load balancing and dynamic load balancing methods. This paper shows 2 improvements to bump up paral-lelization efficiency on the load balancing methods. One is scheduling multiple compute processes on static load balancing method, the other is improvement of network. As the result, EMDC achieved max 28.9% improvement of it in the multiple compute processes and also achieved 10% improvement of the parallelization efficiency in the network improvement.
机译:异构群集系统允许我们使用新的CPU和现有CPU来获得高性能和低成本。如果向集群系统添加新节点,我们可以获得比现有成本更低的更高的性能CPU。为了有效地在异构群集系统上执行应用程序,任务调度程序必须在节点的性能和任务量之间进行平衡。我们的作品的目的是提出在异构群体系统上提出分子轨道计算的最佳负载平衡方法(包括调度率)。在任务调度程序中,我们已经实现了静态负载平衡和动态负载平衡方法。本文显示了在负载平衡方法上撞击近距离释放效率的改进。一个是在静态负载均衡方法上调度多个计算过程,另一个是网络的改进。结果,EMDC在多个计算过程中实现了最多28.9%,并且还实现了网络改进中平行化效率的10%。

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