Slim Scheduler: A Runtime-Aware RL and Scheduler System for Efficient CNN Inference

Ian Harshbarger, Calvin Chidambaram

Most neural network scheduling research focuses on optimizing static, end-to-end models of fixed width, overlooking dynamic approaches that adapt to heterogeneous hardware and fluc…