An Online Incremental Learning Framework for HPC Job Power Consumption Prediction-Reference-Cited by-同舟云学术

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An Online Incremental Learning Framework for HPC Job Power Consumption Prediction

Published:2023-06-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 7th International Conference on High Performance Compilation, Computing and Communications
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Author:

Tian Xuesen¹^ORCID,Li Xiang¹^ORCID,Zhang Jie¹^ORCID,Zhao Zhigang¹^ORCID,Wang Chunxiao¹^ORCID,Wang Xiangkai¹^ORCID,Wang Jibin¹^ORCID

Affiliation:

1. Qilu University of Technology (Shandong Academy of Sciences), China and Shandong Computer Science Center (National Supercomputing Center in Jinan), China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3606043.3606068

Reference22 articles.

1. HPC Workload Characterization Using Feature Selection and Clustering

2. Energy Prediction of OpenMP Applications Using Random Forest Modeling Approach

3. Prediction and characterization of application power use in a high‐performance computing environment

4. Predicting the energy consumption in buildings using the optimized support vector regression model

5. Experimental analysis of task-based energy consumption in cloud computing systems

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