Cooperation vs. coordination for lifeline-based global load balancing in APGAS

Jonas Posner, Claudia Fohry
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引用次数: 11

Abstract

Work stealing can be implemented in either a cooperative or a coordinated way. We compared the two approaches for lifeline-based global load balancing, which is the algorithm used by X10's Global Load Balancing framework GLB. We conducted our study with the APGAS library for Java, to which we ported GLB in a first step. Our cooperative variant resembles the original GLB framework, except that strict sequentialization is replaced by Java synchronization constructs such as critical sections. Our coordinated variant enables concurrent access to local task pools by using a split queue data structure. In experiments with modified versions of the UTS and BC benchmarks, the cooperative and coordinated APGAS variants had similar executions times, without a clear winner. Both variants outperformed the original GLB when compiled with Managed X10. Experiments were run on up to 128 nodes, to which we assigned up to 512 places.
基于生命线的APGAS全局负载平衡的合作与协调
窃取工作可以通过合作或协调的方式实现。我们比较了基于生命线的全局负载平衡的两种方法,这是X10的全局负载平衡框架GLB使用的算法。我们使用Java的APGAS库进行研究,第一步将GLB移植到该库。我们的协作变体类似于最初的GLB框架,只不过严格的顺序化被Java同步构造(如临界区)所取代。我们的协调变体通过使用拆分队列数据结构支持对本地任务池的并发访问。在修改版本的UTS和BC基准测试的实验中,协作和协调APGAS变体具有相似的执行时间,没有明显的赢家。当使用Managed X10编译时,这两个变体的性能都优于原始GLB。实验在多达128个节点上进行,我们为这些节点分配了多达512个位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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