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ASTRAEA: A Fair Deep Learning Scheduler for Multi-tenant GPU Clusters
Horus: Interference-Aware and Prediction-Based Scheduling in Deep Learning Systems
Elastic Parameter Server: Accelerating ML Training With Scalable Resource Scheduling

Optimizing Task Placement and Online Scheduling for Distributed GNN Training Acceleration
AutoByte: Automatic Configuration for Optimal Communication Scheduling in DNN Training

Achieving μs-scale Preemption for Concurrent GPU-accelerated DNN Inferences
该论文提出面向DNN推理任务的强实时高并发GPU调度技术，支持对非实时任务的百微秒级抢占，可将系统整体吞吐量提高了1.1~4.3倍。

Online Scheduling of Distributed Machine Learning Jobs for Incentivizing Sharing in Multi-Tenant Systems

VELTAIR: towards high-performance multi-tenant deep learning services via adaptive compilation and scheduling

Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU

TNSE'22：Toward Efficient Online Scheduling for Distributed Machine Learning Systems

Out-Of-Order BackProp: An Effective Scheduling Technique for Deep Learning