2 papers
cs.LG2023
Accelerating Exact Combinatorial Optimization via RL-based Initialization -- A Case Study in Scheduling
Jiaqi Yin, Cunxi Yu
Scheduling on dataflow graphs (also known as computation graphs) is an NP-hard problem. The traditional exact methods are limited by runtime complexity, while reinforcement learnin…
cs.AR2023
RESPECT: Reinforcement Learning based Edge Scheduling on Pipelined Coral Edge TPUs
Jiaqi Yin, Yingjie Li, Daniel Robinson +1
Deep neural networks (DNNs) have substantial computational and memory requirements, and the compilation of its computational graphs has a great impact on the performance of resourc…