EPPMiner-Reference-Cited by-同舟云学术

EPPMiner

Published:2017-05-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Eighth International Conference on Future Energy Systems
language:
Short-container-title:

Author:

Wang Qiang¹,Xu Pengfei¹,Zhang Yatao¹,Chu Xiaowen²

Affiliation:

1. Department of Computer Science, Hong Kong Baptist University, Hong Kong

2. Department of Computer Science, Hong Kong Baptist University, Hong Kong, HKBU Institute of Research and Continuing Education, Shenzhen, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3077839.3077858

Reference30 articles.

1. AMD. 2016. AMD CodeXL (CodeXL). [Online] http://gpuopen.com/compute-product/codexl/. (2016). AMD. 2016. AMD CodeXL (CodeXL). [Online] http://gpuopen.com/compute-product/codexl/. (2016).

2. Understanding GPU Power

3. Measuring GPU Power with the K20 Built-in Sensor

4. Rodinia: A benchmark suite for heterogeneous computing

5. Vincent Chow Xiaowen Chu Hai Liu and Yiu-Wing Leung. 2017. Energy Efficient Job Scheduling with DV FS for CPU -- GPU Heterogeneous Systems. In e-Energy. ACM. Vincent Chow Xiaowen Chu Hai Liu and Yiu-Wing Leung. 2017. Energy Efficient Job Scheduling with DV FS for CPU -- GPU Heterogeneous Systems. In e-Energy. ACM.

Cited by 6 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. Energy-Efficient Online Scheduling of Transformer Inference Services on GPU Servers;IEEE Transactions on Green Communications and Networking;2022-09

2. GPU-NEST: Characterizing Energy Efficiency of Multi-GPU Inference Servers;IEEE Computer Architecture Letters;2020-07-01

3. Models based on cellular automata for the analysis of biomedical systems;Control Applications for Biomedical Engineering Systems;2020

4. The Impact of GPU DVFS on the Energy and Performance of Deep Learning;Proceedings of the Tenth ACM International Conference on Future Energy Systems;2019-06-15

5. How to Make Profit;Proceedings of the 8th International Workshop on Runtime and Operating Systems for Supercomputers;2018-06-12