Yuping Fan

Orcid: 0000-0002-9425-2780

According to our database1, Yuping Fan authored at least 16 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
MRSch: Multi-Resource Scheduling for HPC.
CoRR, 2024

2022
DRAS: Deep Reinforcement Learning for Cluster Scheduling in High Performance Computing.
IEEE Trans. Parallel Distributed Syst., 2022

Encoding for Reinforcement Learning Driven Scheduling.
Proceedings of the Job Scheduling Strategies for Parallel Processing, 2022

Hybrid Workload Scheduling on HPC Systems.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

MRSch: Multi-Resource Scheduling for HPC.
Proceedings of the IEEE International Conference on Cluster Computing, 2022

2021
DRAS-CQSim: A reinforcement learning based framework for HPC cluster scheduling.
Softw. Impacts, 2021

Job Scheduling in High Performance Computing.
CoRR, 2021

Application Checkpoint and Power Study on Large Scale Systems.
CoRR, 2021

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

Deep Reinforcement Agent for Scheduling in HPC.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

2019
Scheduling Beyond CPUs for HPC.
Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, 2019

2018
System-wide trade-off modeling of performance, power, and resilience on petascale systems.
J. Supercomput., 2018

Joint Effects of Application Communication Pattern, Job Placement and Network Routing on Fat-Tree Systems.
Proceedings of the 47th International Conference on Parallel Processing, 2018

2017
Experience and Practice of Batch Scheduling on Leadership Supercomputers at Argonne.
Proceedings of the Job Scheduling Strategies for Parallel Processing, 2017

Preliminary Interference Study About Job Placement and Routing Algorithms in the Fat-Tree Topology for HPC Applications.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

Trade-Off Between Prediction Accuracy and Underestimation Rate in Job Runtime Estimates.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017


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