Hybrid Workload Scheduling on HPC Systems

Author:

Fan Yuping1,Lan Zhiling1,Rich Paul2,Allcock William2,Papka Michael E.3

Affiliation:

1. Illinois Institute of Technology,Chicago,IL

2. Argonne National Laboratory,Lemont,IL

3. Northern Illinois University,Argonne National Laboratory

Funder

Office of Science

Publisher

IEEE

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. HOSHMAND: Accelerated AI-Driven Scheduler Emulating Conventional Task Distribution Techniques for Cloud Workloads;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

2. Improving batch schedulers with node stealing for failed jobs;Concurrency and Computation: Practice and Experience;2024-02-16

3. ACO-Optimized DRL Model for Energy-Efficient Resource Allocation in High-Performance Computing;Algorithms for Intelligent Systems;2024

4. Automated Data Management and Learning-Based Scheduling for Ray-Based Hybrid HPC-Cloud Systems;Lecture Notes in Computer Science;2024

5. ADSwitch: Adaptive CPU Scheduling for Distributed Systems;2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2023-12-21

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