Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training

12 August 2022

Papers citing "Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training"

13 / 13 papers shown

Title
MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems Yinsicheng Jiang Yao Fu Yeqi Huang Ping Nie Zhan Lu ... Dayou Du Tairan Xu Kai Zou Edoardo Ponti Luo Mai MoE 12 0 0 16 May 2025
The ML.ENERGY Benchmark: Toward Automated Inference Energy Measurement and Optimization Jae-Won Chung Jiachen Liu Jeff J. Ma Ruofan Wu Oh Jun Kweon Yuxuan Xia Zhiyu Wu Mosharaf Chowdhury 28 0 0 09 May 2025
One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection Filippo Betello Antonio Purificato Vittoria Vineis Gabriele Tolomei Fabrizio Silvestri 41 0 0 02 May 2025
Green Prompting Marta Adamska Daria Smirnova Hamid Nasiri Zhengxin Yu Peter Garraghan 160 0 0 09 Mar 2025
MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI Arya Tschand Arun Tejusve Raghunath Rajan S. Idgunji Anirban Ghosh J. Holleman ... Rowan Taubitz Sean Zhan Scott Wasson David Kanter Vijay Janapa Reddi 62 3 0 15 Oct 2024
DeepEn2023: Energy Datasets for Edge Artificial Intelligence Xiaolong Tu Anik Mallik Haoxin Wang Jiang Xie 30 1 0 30 Nov 2023
Cost-effective On-device Continual Learning over Memory Hierarchy with Miro Xinyue Ma Suyeon Jeong Minjia Zhang Di Wang Jonghyun Choi Myeongjae Jeon CLL 16 13 0 11 Aug 2023
Verifiable Sustainability in Data Centers Syed Rafiul Hussain Patrick McDaniel Anshul Gandhi K. Ghose Kartik Gopalan Dongyoon Lee Yu Liu Zhen Liu Shuai Mu E. Zadok 34 1 0 22 Jul 2023
Energy-Efficient GPU Clusters Scheduling for Deep Learning Diandian Gu Xintong Xie Gang Huang Xin Jin Xuanzhe Liu GNN 24 7 0 13 Apr 2023
Chasing Low-Carbon Electricity for Practical and Sustainable DNN Training Zhenning Yang Luoxi Meng Jae-Won Chung Mosharaf Chowdhury AI4CE 29 2 0 04 Mar 2023
Carbon Emissions and Large Neural Network Training David A. Patterson Joseph E. Gonzalez Quoc V. Le Chen Liang Lluís-Miquel Munguía D. Rothchild David R. So Maud Texier J. Dean AI4CE 244 644 0 21 Apr 2021
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan A. De Rishabh K. Iyer OOD 88 188 0 27 Feb 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 281 2,889 0 15 Sep 2016