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READYS: A Reinforcement Learning Based Strategy for Heterogeneous Dynamic Scheduling
2021
2021 IEEE International Conference on Cluster Computing (CLUSTER)
In this paper, we propose READYS, a reinforcement learning algorithm for the dynamic scheduling of computations modeled as a Directed Acyclic Graph (DAGs). Our goal is to develop a scheduling algorithm in which allocation and scheduling decisions are made at runtime, based on the state of the system, as performed in runtime systems such as StarPU or ParSEC. Reinforcement Learning is a natural candidate to achieve this task, since its general principle is to build step by step a strategy that,
doi:10.1109/cluster48925.2021.00031
fatcat:3tvgsi75pzhw7awf6tqtfumkrm