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This paper presents a hybrid parallel task-placement strategy that combines work stealing and work dealing to improve workload distribution across nodes in distributed shared-memory machines. Existing work-dealing-based load balancers suffer from large performance penalties resulting from excessive task migration and from excessive communication among the nodes to determine the target node for a migrated task. This work employs a simple heuristic to determine the load status of a node and alsodoi:10.1145/2481268.2481277 dblp:conf/pldi/PaudelTA13 fatcat:h5lruyqmfvdkddzgtfgv2we33u