Predicting faults in high performance computing systems

Author:

Jauk David1,Yang Dai1,Schulz Martin1

Affiliation:

1. Technical University of Munich, Garching, Germany

Funder

Bundesministerium für Bildung und Forschung

Publisher

ACM

Cited by 22 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. GRAAFE: GRaph Anomaly Anticipation Framework for Exascale HPC systems;Future Generation Computer Systems;2024-11

2. Fault‐tolerance approaches for distributed and cloud computing environments: A systematic review, taxonomy and future directions;Concurrency and Computation: Practice and Experience;2024-03-18

3. Multi-task Learning LSTM-based Traffic Prediction in Data Center Networks;2024 The 8th International Conference on Machine Learning and Soft Computing;2024-01-26

4. Using Benford's Law to Identify Unusual Failure Regions;Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis;2023-11-12

5. Application of multivariate time-series model for high performance computing (HPC) fault prediction;PLOS ONE;2023-10-17

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