分布式系统上SAMR应用的动态负载平衡

Z. Lan, V. Taylor, G. Bryan
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引用次数: 69

摘要

并行系统的动态负载平衡(DLB)问题得到了广泛的研究。然而,分布式系统的DLB相对较新。为了有效地利用分布式系统提供的计算资源,底层DLB方案必须同时处理分布式系统的异构和动态特性。在本文中,我们提出了一种用于分布式系统的结构化自适应网格细化(SAMR)应用的DLB方案。虽然所提出的方案可以考虑(1)处理器的异构性和(2)网络的异构性和动态负载,但本文的重点是后者。负载均衡过程分为两个阶段:全局负载均衡和局部负载均衡。我们还提供了一种启发式方法来评估全局再分配的计算增益和再分配成本。实验表明,与不考虑分布式系统异构和动态特性的并行DLB方案相比,采用分布式DLB方案的执行时间可缩短9-46%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Load Balancing of SAMR Applications on Distributed Systems
Dynamic load balancing (DLB) for parallel systems has been studied extensively; however, DLB for distributed systems is relatively new. To efficiently utilize computing resources provided by distributed systems, an underlying DLB scheme must address both heterogeneous and dynamic features of distributed systems. In this paper, we propose a DLB scheme for Structured Adaptive Mesh Refinement (SAMR) applications on distributed systems. While the proposed scheme can take into consideration (1) the heterogeneity of processors and (2) the heterogeneity and dynamic load of the networks, the focus of this paper is on the latter. The load-balancing processes are divided into two phases: global load balancing and local load balancing. We also provide a heuristic method to evaluate the computational gain and redistribution cost for global redistribution. Experiments show that by using our distributed DLB scheme, the execution time can be reduced by 9-46% as compared to using parallel DLB scheme which does not consider the heterogeneous and dynamic features of distributed systems.
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