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An efficient load balancing method for multi-core systems with asymmetric memory architectures

机译:具有非对称内存架构的多核系统的高效负载平衡方法

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As the number of cores in a processor increases, asymmetrically distributed memory architecture is expected to become widely adopted. Running an application program in a distributed fashion on an asymmetric memory architecture effectively is a challenging task. In this paper, we propose a novel load balancing technique for multi-core systems with asymmetric memory architectures. The proposed method uses probabilistic information on the expected execution time of the child processes for each parent process. Also, to maximize the load balancing effect with low cost, the proposed method groups processes, and treats each group as a load balancing unit. The trade-off between load balancing effect of each load balancing unit and the cost is taken into account. To show the effectiveness of this paper, we present test cases in which the proposed method show better performance than that of existing load balancing methods.
机译:随着处理器中内核数量的增加,非对称分布的内存体系结构有望被广泛采用。在非对称内存架构上有效地以分布式方式运行应用程序是一项艰巨的任务。在本文中,我们为具有非对称内存架构的多核系统提出了一种新颖的负载均衡技术。所提出的方法使用关于每个父进程的子进程的预期执行时间的概率信息。而且,为了以低成本最大化负载平衡效果,所提出的方法将处理分组,并将每个组视为负载平衡单元。考虑了每个负载平衡单元的负载平衡效果与成本之间的权衡。为了显示本文的有效性,我们在测试案例中提出的方法显示出比现有负载平衡方法更好的性能。

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