A hybrid scheduling platform: a runtime prediction reliability aware scheduling platform to improve HPC scheduling performance

Author:

Naghshnejad MinaORCID,Singhal Mukesh

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

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. Multivariate LSTM for Execution Time Prediction in HPC for Distributed Deep Learning Training;2024 IEEE 27th International Symposium on Real-Time Distributed Computing (ISORC);2024-05-22

3. Load Balancing with Job-Size Testing: Performance Improvement or Degradation?;ACM Transactions on Modeling and Performance Evaluation of Computing Systems;2024-04-17

4. Performance-driven scheduling for malleable workloads;The Journal of Supercomputing;2024-01-29

5. Few-shot HPC application runtime prediction;2023 IEEE International Conference on Cluster Computing Workshops (CLUSTER Workshops);2023-10-31

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