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

Subho S Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk +1

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 o…