RIFLING: A reinforcement learning‐based GPU scheduler for deep learning research and development platforms

M-DRL: Deep Reinforcement Learning Based Coflow Traffic Scheduler with MLFQ Threshold Adaption

(2021) Tianba Chen et al.   INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING

Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation

(2021) Zhouyou Gu et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

Deep Learning Research and Development Platform: Characterizing and Scheduling with QoS Guarantees on GPU Clusters

(2019) Zhaoyun Chen et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

Heterogeneous blocked CPU-GPU accelerate scheme for large scale extreme learning machine

(2017) Shijie Li et al.   NEUROCOMPUTING

A Reinforcement Learning-based Mixed Job Scheduler Scheme for Grid or IaaS Cloud

(2017) Delong Cui et al.   IEEE Transactions on Cloud Computing

DianNao family

(2016) Yunji Chen et al.   COMMUNICATIONS OF THE ACM

PR-ELM: Parallel regularized extreme learning machine based on cluster

(2016) Yueqing Wang et al.   NEUROCOMPUTING

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE