Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters

Subho S. Banerjee, Saurabh Jha, Zbigniew Kalbarczyk, Ravishankar K. Iyer

Abstract: The problem of scheduling of workloads onto heterogeneous processors (e.g., CPUs, GPUs, FPGAs) is of fundamental importance in modern data centers. Current system schedulers rely on application/sys...