Analysis of DVFS Techniques for Improving the GPU Energy Efficiency-Reference-Cited by-同舟云学术

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Analysis of DVFS Techniques for Improving the GPU Energy Efficiency

Published:2015 Issue:04 Volume:04 Page:77-86
ISSN:2169-2637
Container-title:Open Journal of Energy Efficiency
language:
Short-container-title:OJEE

Author:

Mishra Ashish,Khare Nilay

Publisher

Scientific Research Publishing, Inc.

Subject

General Earth and Planetary Sciences,General Engineering,General Environmental Science

Cited by 12 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. Reinforcement Learning-Based Dynamic Voltage and Frequency Scaling for Energy-Efficient Computing;2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2024-04-26

2. GPU Shader Analysis and Power Optimization Model;Engineering, Technology & Applied Science Research;2024-02-08

3. Predict; Don't React for Enabling Efficient Fine-Grain DVFS in GPUs;Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 4;2023-03-25

4. SDN-DVFS: an enhanced QoS-aware load-balancing method in software defined networks;Cluster Computing;2022-01-11

5. GPU Power Capping for Energy-Performance Trade-Offs in Training of Deep Convolutional Neural Networks for Image Recognition;Computational Science – ICCS 2022;2022

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