Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models

6 July 2020

Lasse F. Wolff Anthony

Papers citing "Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models"

50 / 133 papers shown

Title
Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices Luís Cruz J. Fernandes Maja H. Kirkeby Silverio Martínez-Fernández June Sallou ... Federica Sarro Raghavendra Selvan Karthik Vaidhyanathan Roberto Verdecchia Ivan P. Yamshchikov 54 0 0 02 Jun 2025
Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Taniya Kapoor Abhishek Chandra Anastasios Stamou Stephen J Roberts 74 1 0 18 May 2025
Diffused Responsibility: Analyzing the Energy Consumption of Generative Text-to-Audio Diffusion Models Riccardo Passoni Francesca Ronchini Luca Comanducci Romain Serizel Fabio Antonacci DiffM 73 0 0 12 May 2025
TD-Suite: All Batteries Included Framework for Technical Debt Classification Karthik Shivashankar Antonio Martini 57 0 0 15 Apr 2025
Efficient Reasoning Models: A Survey Sicheng Feng Gongfan Fang Xinyin Ma Xinchao Wang ReLM LRM 418 13 0 15 Apr 2025
MLKV: Efficiently Scaling up Large Embedding Model Training with Disk-based Key-Value Storage Yongjun He R. Waleffe Zhichao Han Johnu George Binhang Yuan ... Yinan Shan Yang Zhao Debojyoti Dutta Theodoros Rekatsinas Ce Zhang AIFin 95 0 0 02 Apr 2025
The HCI GenAI CO2ST Calculator: A Tool for Calculating the Carbon Footprint of Generative AI Use in Human-Computer Interaction Research Nanna Inie Jeanette Falk Raghavendra Selvan 139 0 0 01 Apr 2025
Green Prompting Marta Adamska Daria Smirnova Hamid Nasiri Zhengxin Yu Peter Garraghan 527 1 0 09 Mar 2025
AOLO: Analysis and Optimization For Low-Carbon Oriented Wireless Large Language Model Services Xiaoqi Wang Hongyang Du Yuehong Gao Dong In Kim 93 0 0 06 Mar 2025
Climate And Resource Awareness is Imperative to Achieving Sustainable AI (and Preventing a Global AI Arms Race) Pedram Bakhtiarifard Pınar Tözün Christian Igel Raghavendra Selvan 119 0 0 27 Feb 2025
Towards Sustainable Web Agents: A Plea for Transparency and Dedicated Metrics for Energy Consumption Lars Krupp Daniel Geißler P. Lukowicz Jakob Karolus LLMAG 128 0 0 25 Feb 2025
Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models S. Poddar Paramita Koley Janardan Misra Niloy Ganguly Saptarshi Ghosh Saptarshi Ghosh 149 0 0 08 Feb 2025
Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization Zishun Yu Tengyu Xu Di Jin Karthik Abinav Sankararaman Yun He ... Eryk Helenowski Chen Zhu Sinong Wang Hao Ma Han Fang LRM 230 11 0 29 Jan 2025
Evaluation of Bio-Inspired Models under Different Learning Settings For Energy Efficiency in Network Traffic Prediction Theodoros Tsiolakis Nikolaos Pavlidis V. Perifanis P. Efraimidis 90 0 0 23 Dec 2024
Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic Forecasting Nikolaos Pavlidis V. Perifanis Selim F. Yilmaz F. Wilhelmi M. Miozzo P. Efraimidis R. Koutsiamanis Pavol Mulinka Paolo Dini 69 2 0 05 Dec 2024
Unlocking the Potential of Global Human Expertise Elliot Meyerson Olivier Francon Darren Sargent Babak Hodjat Risto Miikkulainen 94 2 0 31 Oct 2024
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 130 3 0 15 Oct 2024
Utilizing Lyapunov Exponents in designing deep neural networks Tirthankar Mittra 42 0 0 08 Oct 2024
A second-order-like optimizer with adaptive gradient scaling for deep learning Jérôme Bolte Ryan Boustany Edouard Pauwels Andrei Purica ODL 65 0 0 08 Oct 2024
TensorSocket: Shared Data Loading for Deep Learning Training Ties Robroek Neil Kim Nielsen Pınar Tözün 56 2 0 27 Sep 2024
Efficient Bias Mitigation Without Privileged Information Mateo Espinosa Zarlenga Swami Sankaranarayanan Jerone T. A. Andrews Z. Shams M. Jamnik Alice Xiang 126 3 0 26 Sep 2024
TREB: a BERT attempt for imputing tabular data imputation Shuyue Wang Wenjun Zhou Han drk-m-s Jiang Shuo Wang Ren Zheng 59 0 0 16 Sep 2024
Normalizing Energy Consumption for Hardware-Independent Evaluation Constance Douwes Romain Serizel 70 1 0 09 Sep 2024
The Unseen AI Disruptions for Power Grids: LLM-Induced Transients Yuzhuo Li Mariam Mughees Yize Chen Yunwei Ryan Li 87 11 0 09 Sep 2024
AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling Siddhant Dutta Nouhaila Innan Sadok Ben Yahia Muhammad Shafique PINN 57 0 0 03 Sep 2024
Reporting and Analysing the Environmental Impact of Language Models on the Example of Commonsense Question Answering with External Knowledge Aida Usmanova Junbo Huang Debayan Banerjee Ricardo Usbeck 61 1 0 24 Jul 2024
A Quantum Leaky Integrate-and-Fire Spiking Neuron and Network D. Brand Francesco Petruccione 77 0 0 23 Jul 2024
Latent Pollution Model: The Hidden Carbon Footprint in 3D Image Synthesis Marvin Seyfarth S. Dar Sandy Engelhardt MedIm 39 0 0 20 Jul 2024
The Price of Prompting: Profiling Energy Use in Large Language Models Inference E. J. Husom Arda Goknil Lwin Khin Shar Sagar Sen 121 8 0 04 Jul 2024
Spiking Convolutional Neural Networks for Text Classification Changze Lv Jianhan Xu Xiaoqing Zheng 93 33 0 27 Jun 2024
BMRS: Bayesian Model Reduction for Structured Pruning Dustin Wright Christian Igel Raghavendra Selvan BDL MQ 136 1 0 03 Jun 2024
Responsible AI for Earth Observation Pedram Ghamisi Weikang Yu Andrea Marinoni C. Gevaert Claudio Persello ... Benjamin P. Horton Philippe Rufin P. Hostert Fabio Pacifici Peter M. Atkinson 69 5 0 31 May 2024
OpenCarbonEval: A Unified Carbon Emission Estimation Framework in Large-Scale AI Models Zhaojian Yu Yinghao Wu Zhuotao Deng Yansong Tang Xiao-Ping Zhang 77 2 0 21 May 2024
Green AI in Action: Strategic Model Selection for Ensembles in Production Nienke Nijkamp June Sallou Niels van der Heijden Luís Cruz 53 3 0 21 May 2024
Aggregate Representation Measure for Predictive Model Reusability Vishwesh Sangarya Richard M. Bradford Jung-Eun Kim 68 2 0 15 May 2024
A Survey on Transformers in NLP with Focus on Efficiency Wazib Ansar Saptarsi Goswami Amlan Chakrabarti MedIm 93 2 0 15 May 2024
A Benchmark Evaluation of Clinical Named Entity Recognition in French N. Bannour Christophe Servan Aurélie Névéol Xavier Tannier 46 0 0 28 Mar 2024
Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study Yuwen Yang Yuxiang Lu Suizhi Huang Shalayiding Sirejiding Hongtao Lu Yue Ding FedML 88 5 0 20 Feb 2024
Towards Equitable Agile Research and Development of AI and Robotics Andrew Hundt Julia Schuller Severin Kacianka 54 1 0 13 Feb 2024
Is Adversarial Training with Compressed Datasets Effective? Tong Chen Raghavendra Selvan AAML 160 0 0 08 Feb 2024
Adaptive Inference: Theoretical Limits and Unexplored Opportunities S. Hor Ying Qian Mert Pilanci Amin Arbabian 58 0 0 06 Feb 2024
Neuromorphic hardware for sustainable AI data centers Bernhard Vogginger A. Rostami Vaibhav Jain Sirine Arfa Andreas Hantsch ... Ulrike Faltings Hector A. Gonzalez Chen Liu Christian Mayr Wolfgang Maaß 83 10 0 04 Feb 2024
The Power of Training: How Different Neural Network Setups Influence the Energy Demand Daniel Geissler Bo Zhou Mengxi Liu Sungho Suh P. Lukowicz 62 9 0 03 Jan 2024
Survey on AI Ethics: A Socio-technical Perspective Dave Mbiazi Meghana Bhange Maryam Babaei Ivaxi Sheth Patrik Kenfack 97 5 0 28 Nov 2023
An Interdisciplinary Outlook on Large Language Models for Scientific Research James Boyko Joseph Cohen Nathan Fox Maria Han Veiga Jennifer I-Hsiu Li ... Andreas H. Rauch Kenneth N. Reid Soumi Tribedi Anastasia Visheratina Xin Xie 75 19 0 03 Nov 2023
PolyThrottle: Energy-efficient Neural Network Inference on Edge Devices Minghao Yan Hongyi Wang Shivaram Venkataraman 47 0 0 30 Oct 2023
A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification Luca Barbieri S. Savazzi Sanaz Kianoush M. Nicoli Luigi Serio 53 4 0 12 Oct 2023
Watt For What: Rethinking Deep Learning's Energy-Performance Relationship Shreyank N. Gowda Xinyue Hao Gen Li Laura Sevilla-Lara Shashank Narayana Gowda HAI 85 12 0 10 Oct 2023
Performance and energy balance: a comprehensive study of state-of-the-art sound event detection systems Francesca Ronchini Romain Serizel 54 11 0 05 Oct 2023
LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models Ahmad Faiz S. Kaneda Ruhan Wang Rita Osi Parteek Sharma Fan Chen Lei Jiang 82 65 0 25 Sep 2023