Work-stealing with configurable scheduling strategies

Abstract

Work-stealing systems are typically oblivious to the nature of the tasks they are scheduling. They do not know or take into account how long a task will take to execute or how many subtasks it will spawn. Moreover, task execution order is typically determined by an underlying task storage data structure, and cannot be changed. There are thus possibilities for optimizing task parallel executions by providing information on specific tasks and their preferred execution order to the scheduling system.