Trade-Off Between Prediction Accuracy and Underestimation Rate in Job Runtime Estimates. - Yuping Fan; Paul Rich; William E. Allcock; Michael E. Papka; Zhiling Lan (CLUSTER, 2017)

Preliminary Interference Study About Job Placement and Routing Algorithms in the Fat-Tree Topology for HPC Applications. - Peixin Qiao; Xin Wang 115; Xu Yang 009; Yuping Fan; Zhiling Lan (CLUSTER, 2017)

Experience and Practice of Batch Scheduling on Leadership Supercomputers at Argonne. - William E. Allcock; Paul Rich; Yuping Fan; Zhiling Lan (JSSPP, 2017)

Joint Effects of Application Communication Pattern, Job Placement and Network Routing on Fat-Tree Systems. - Peixin Qiao; Xin Wang 115; Xu Yang 009; Yuping Fan; Zhiling Lan (ICPP Workshops, 2018)

System-wide trade-off modeling of performance, power, and resilience on petascale systems. - Li Yu 006; Zhou Zhou 006; Yuping Fan; Michael E. Papka; Zhiling Lan (J. Supercomput., 2018)

Scheduling Beyond CPUs for HPC. - Yuping Fan; Zhiling Lan; Paul Rich; William E. Allcock; Michael E. Papka; Brian Austin; David Paul (HPDC, 2019)

Deep Reinforcement Agent for Scheduling in HPC. - Yuping Fan; Zhiling Lan; J. Taylor Childers; Paul Rich; William E. Allcock; Michael E. Papka (IPDPS, 2021)

ROME: A Multi-Resource Job Scheduling Framework for Exascale HPC Systems. - Yuping Fan (CoRR, 2021)

Application Checkpoint and Power Study on Large Scale Systems. - Yuping Fan (CoRR, 2021)

Job Scheduling in High Performance Computing. - Yuping Fan (CoRR, 2021)

DRAS-CQSim: A reinforcement learning based framework for HPC cluster scheduling. - Yuping Fan; Zhiling Lan (Softw. Impacts, 2021)

MRSch: Multi-Resource Scheduling for HPC. - Boyang Li 018; Yuping Fan; Matthew T. Dearing; Zhiling Lan; Paul Rich; William E. Allcock; Michael E. Papka (CLUSTER, 2022)

Hybrid Workload Scheduling on HPC Systems. - Yuping Fan; Zhiling Lan; Paul Rich; William E. Allcock; Michael E. Papka (IPDPS, 2022)

Encoding for Reinforcement Learning Driven Scheduling. - Boyang Li 018; Yuping Fan; Michael E. Papka; Zhiling Lan (JSSPP, 2022)

DRAS: Deep Reinforcement Learning for Cluster Scheduling in High Performance Computing. - Yuping Fan; Boyang Li 018; Dustin Favorite; Naunidh Singh; John Taylor Childers; Paul Rich; William E. Allcock; Michael E. Papka; Zhiling Lan (IEEE Trans. Parallel Distributed Syst., 2022)

MRSch: Multi-Resource Scheduling for HPC. - Boyang Li 018; Yuping Fan; Matthew T. Dearing; Zhiling Lan; Paul Richy; William Allcocky; Michael E. Papka (CoRR, 2024)