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Work-stealing and work-sharing are two basic paradigms for dynamic task scheduling. This paper introduces an adaptive and hierarchical task scheduling scheme (AHS) for multi-core clusters, in which work-stealing and work-sharing are adaptively used to achieve load balancing.Work-stealing has been widely used in task-based parallel programing languages and models, especially on shared memory systems...
Work-stealing has been widely used in task-based parallel programing for dynamic load balancing. The overhead of work-stealing on distributed memory systems is much higher than that on shared memory systems. To minimize the overhead of work-stealing on a multi-core cluster, we propose a hierarchical work-stealing framework, in which work-stealing is performed inside a node before across the node boundary...
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