Utilizing Hardware Performance Counters to Model and Optimize the Energy and Performance of Large Scale Scientific Applications on Power-Aware Supercomputers-Reference-Cited by-同舟云学术

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Utilizing Hardware Performance Counters to Model and Optimize the Energy and Performance of Large Scale Scientific Applications on Power-Aware Supercomputers

Published:2016-05 Issue: Volume: Page:
ISSN:
Container-title:2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
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Author:

Wu Xingfu,Taylor Valerie

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7518534/7529833/07530001.pdf?arnumber=7530001

Cited by 10 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. VESTA: Power Modeling with Language Runtime Events;Proceedings of the ACM on Programming Languages;2024-06-20

2. Online Machine Learning for Energy-Aware Multicore Real-Time Embedded Systems;IEEE Transactions on Computers;2022-02-01

3. System for Collecting Statistics on Power Consumption of Supercomputer Applications;Lecture Notes in Computer Science;2022

4. Load power estimation using a recurrent neural network for the purpose of computer power energy efficiency improvement;2021 IEEE Energy Conversion Congress and Exposition (ECCE);2021-10-10

5. Utilizing ensemble learning for performance and power modeling and improvement of parallel cancer deep learning CANDLE benchmarks;Concurrency and Computation: Practice and Experience;2021-07-22

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