Predictive Modeling for Job Power Consumption in HPC Systems

Author:

Borghesi Andrea,Bartolini Andrea,Lombardi Michele,Milano Michela,Benini Luca

Publisher

Springer International Publishing

Cited by 32 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. Predicting Cross-Architecture Performance of Parallel Programs;2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2024-05-27

2. An Efficient Energy Consumption Prediction Framework for High Performance Computing Cluster Jobs;2024 5th International Conference on Computer Engineering and Application (ICCEA);2024-04-12

3. PowerDis: Fine-Grained Power Monitoring Through Power Disaggregation Model;Lecture Notes in Computer Science;2024

4. Light-Weight Prediction for Improving Energy Consumption in HPC Platforms;Lecture Notes in Computer Science;2024

5. Job2Vec: A Self-Supervised Contrastive Learning Based HPC Job Power Consumption Prediction Framework;2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS);2023-12-17

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