The Impact of GPU DVFS on the Energy and Performance of Deep Learning
Author:
Affiliation:
1. Department of Computer Science, Hong Kong Baptist University, Hong Kong
Funder
Hong Kong RGC
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3307772.3328315
Reference48 articles.
1. Power and Performance Characterization and Modeling of GPU-Accelerated Systems
2. Understanding GPU Power
3. Energy Efficient Job Scheduling with DVFS for CPU-GPU Heterogeneous Systems
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3. PELSI: Power-Efficient Layer-Switched Inference;2023 IEEE 29th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA);2023-08-30
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