ALERT: Accurate Learning for Energy and Timeliness

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ALERT: Accurate Learning for Energy and Timeliness

31 October 2019

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Papers citing "ALERT: Accurate Learning for Energy and Timeliness"

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Title
Toward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference Baolin Li Yankai Jiang V. Gadepally Devesh Tiwari 104 15 0 19 Mar 2024
Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs Yeonhong Park Jake Hyun SangLyul Cho Bonggeun Sim Jae W. Lee MQ 129 20 0 16 Feb 2024
PolyThrottle: Energy-efficient Neural Network Inference on Edge Devices Minghao Yan Hongyi Wang Shivaram Venkataraman 63 0 0 30 Oct 2023
Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service Baolin Li S. Samsi V. Gadepally Devesh Tiwari 73 33 0 19 Apr 2023
Moby: Empowering 2D Models for Efficient Point Cloud Analytics on the Edge Jingzong Li Yik Hong Cai Libin Liu Yushun Mao Chun Jason Xue Hongchang Xu 56 4 0 18 Feb 2023
A Systematic Review of Green AI Roberto Verdecchia June Sallou Luís Cruz 117 166 0 26 Jan 2023
Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques Renjie Xu S. Razavi Rong Zheng 116 21 0 28 Nov 2022
DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks Simin Chen Mirazul Haque Cong Liu Wei Yang 110 22 0 10 Oct 2022
Understanding Time Variations of DNN Inference in Autonomous Driving Liangkai Liu Yanzhi Wang Weisong Shi AI4TS AI4CE 72 6 0 12 Sep 2022
Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training Jie You Jaehoon Chung Mosharaf Chowdhury 84 82 0 12 Aug 2022
NEAT: A Framework for Automated Exploration of Floating Point Approximations Saeid Barati Lee Ehudin Hank Hoffmann 36 2 0 17 Feb 2021
Comparing and Combining Approximate Computing Frameworks Saeid Barati G. Kindlmann Hank Hoffmann 24 0 0 16 Feb 2021
Learn Faster and Forget Slower via Fast and Stable Task Adaptation Farshid Varno Lucas May Petry Lisa Di-Jorio Stan Matwin CLL 70 2 0 02 Jul 2020