用于优先执行任务的负载平衡策略

Amitabh Sinha, L. Kalé
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引用次数: 77

摘要

在以动态方式创建任务的并行应用程序中,负载平衡是实现最佳性能的关键因素。在许多计算中,例如状态空间搜索问题,任务具有优先级,如果在并行执行任务时遵循这些优先级,则可以更有效地实现计算的解决方案。对于这样的任务,只寻求平衡负载而不平衡整个系统上的高优先级任务的负载平衡方案可能会导致高优先级任务(即使在均衡负载环境中)集中在几个处理器上,从而导致低优先级的工作被完成。在这种情况下,需要一个负载平衡方案来平衡系统上的负载和高优先级任务。作者描述了一种更有效的优先级负载平衡策略的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A load balancing strategy for prioritized execution of tasks
Load balancing is a critical factor in achieving optimal performance in parallel applications where tasks are created in a dynamic fashion. In many computations, such as state space search problems, tasks have priorities, and solutions to the computation may be achieved more efficiently if these priorities are adhered to in the parallel execution of the tasks. For such tasks, a load balancing scheme that only seeks to balance load, without balancing high priority tasks over the entire system, might result in the concentration of high priority tasks (even in a balanced-load environment) on a few processors, thereby leading to low priority work being done. In such situations a load balancing scheme is desired which would balance both load and high priority tasks over the system. The authors describe the development of a more efficient prioritized load balancing strategy.<>
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