CHAOS: Composable Highly Accurate OS-based power models
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/6387512/6402886/06402920.pdf?arnumber=6402920
Cited by 8 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. Research on identification of server energy consumption characteristics via dirichlet max-margin factor analysis similarity preservation model;Frontiers in Energy Research;2023-01-10
2. Is Correlation Ranking Really Reliable for the Performance Counter Selection Conducted for Power Estimation?;Journal of Circuits, Systems and Computers;2017-04-03
3. Deriving Power Models for Architecture-Level Energy Efficiency Analyses;Computer Performance Engineering;2017
4. Learning-based power prediction for data centre operations via deep neural networks;Proceedings of the 5th International Workshop on Energy Efficient Data Centres;2016-06-21
5. Online Power Estimation of Graphics Processing Units;2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid);2016-05
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