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
Activation Compression of Graph Neural Networks using Block-wise Quantization with Improved Variance Minimization Sebastian Eliassen Raghavendra Selvan GNN 100 4 0 21 Sep 2023
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI Dustin Wright Christian Igel Gabrielle Samuel Raghavendra Selvan 120 16 0 05 Sep 2023
The Quest of Finding the Antidote to Sparse Double Descent Victor Quétu Marta Milovanović 89 0 0 31 Aug 2023
Energy Concerns with HPC Systems and Applications Roblex Nana C. Tadonki Petr Dokladal Youssef Mesri 55 0 0 31 Aug 2023
Enhancing Energy-Awareness in Deep Learning through Fine-Grained Energy Measurement S. Rajput Tim Widmayer Ziyuan Shang M. Kechagia Federica Sarro Tushar Sharma 98 4 0 23 Aug 2023
CACTUS: a Comprehensive Abstraction and Classification Tool for Uncovering Structures L. Gherardini Varun Ravi Varma Karol Capała Roger Francis Woods José L. R. Sousa 63 3 0 23 Aug 2023
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare Karim Lekadir Aasa Feragen Abdul Joseph Fofanah Alejandro F Frangi Alena Buyx ... Yi Zeng Yunusa G Mohammed Yves Saint James Aquino Zohaib Salahuddin M. P. Starmans AI4TS 108 65 0 11 Aug 2023
Federated Learning: Organizational Opportunities, Challenges, and Adoption Strategies J. Delgado-Fernandez Martin Brennecke Tom Josua Barbereau Alexander Rieger Gilbert Fridgen FedML AI4CE 61 1 0 04 Aug 2023
Text Analysis Using Deep Neural Networks in Digital Humanities and Information Science Omri Suissa Avshalom Elmalech M. Zhitomirsky-Geffet AI4CE 57 48 0 30 Jul 2023
MAS: Towards Resource-Efficient Federated Multiple-Task Learning Weiming Zhuang Yonggang Wen Lingjuan Lyu Shuai Zhang FedML 69 16 0 21 Jul 2023
INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks Elena Tiukhova Emiliano Penaloza María Óskarsdóttir Bart Baesens M. Snoeck Cristián Bravo 76 2 0 16 Jul 2023
EnergAt: Fine-Grained Energy Attribution for Multi-Tenancy Hongyu Hè Michal Friedman Theodoros Rekatsinas 53 9 0 11 Jul 2023
The Ethical Implications of Generative Audio Models: A Systematic Literature Review J. Barnett 86 32 0 07 Jul 2023
Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems Baolin Li Rohan Basu Roy Daniel Wang S. Samsi V. Gadepally Devesh Tiwari 110 39 0 22 Jun 2023
Broadening the perspective for sustainable AI: Comprehensive sustainability criteria and indicators for AI systems Friederike Rohde Josephin Wagner A. Meyer Philipp Reinhard Marcus Voss U. Petschow Anne Mollen 59 3 0 22 Jun 2023
How to estimate carbon footprint when training deep learning models? A guide and review Lucía Bouza Aurélie Bugeau Loïc Lannelongue HAI 68 60 0 14 Jun 2023
Art and the science of generative AI: A deeper dive Ziv Epstein Aaron Hertzmann L. Herman Robert Mahari M. Frank ... Jessica Fjeld Hany Farid Neil Leach Alex Pentland Olga Russakovsky 101 321 0 07 Jun 2023
Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository Mining Study Joel Castaño Silverio Martínez-Fernández Xavier Franch Justus Bogner CVBM 98 37 0 18 May 2023
Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service Baolin Li S. Samsi V. Gadepally Devesh Tiwari 69 32 0 19 Apr 2023
Towards Energy Consumption and Carbon Footprint Testing for AI-driven IoT Services Demetris Trihinas L. Thamsen Jossekin Beilharz Moysis Symeonides 49 13 0 13 Apr 2023
Energy-Efficient GPU Clusters Scheduling for Deep Learning Diandian Gu Xintong Xie Gang Huang Xin Jin Xuanzhe Liu GNN 55 8 0 13 Apr 2023
Localise to segment: crop to improve organ at risk segmentation accuracy Abraham George Smith Denis Kutnár I. Vogelius S. Darkner Jens Petersen SSeg 69 2 0 10 Apr 2023
Data Aware Neural Architecture Search Emil Njor J. Madsen Xenofon Fafoutis 73 7 0 04 Apr 2023
Development and validation of a natural language processing algorithm to pseudonymize documents in the context of a clinical data warehouse X. Tannier Perceval Wajsburt Alice Calliger Basile Dura Alexandre Mouchet M. Hilka R. Bey 52 10 0 23 Mar 2023
Operating critical machine learning models in resource constrained regimes Raghavendra Selvan Julian Schon Erik Dam MedIm 85 8 0 17 Mar 2023
Ultra-low Precision Multiplication-free Training for Deep Neural Networks Chang-Shu Liu Rui Zhang Xishan Zhang Yifan Hao Zidong Du Xingui Hu Ling Li Qi Guo MQ 127 1 0 28 Feb 2023
SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks Rui-Jie Zhu Qihang Zhao Guoqi Li Jason K. Eshraghian BDL VLM 111 89 0 27 Feb 2023
Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning A. Luccioni Alex Hernandez-Garcia 93 52 0 16 Feb 2023
CatAlyst: Domain-Extensible Intervention for Preventing Task Procrastination Using Large Generative Models Riku Arakawa Hiromu Yakura Masataka Goto 82 25 0 11 Feb 2023
Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle Vanessa Mehlin Sigurd Schacht Carsten Lanquillon HAI MedIm 127 20 0 05 Feb 2023
A Systematic Review of Green AI Roberto Verdecchia June Sallou Luís Cruz 104 166 0 26 Jan 2023
Towards Sustainable Artificial Intelligence: An Overview of Environmental Protection Uses and Issues Arnault Pachot Céline Patissier 104 15 0 22 Dec 2022
MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy Gihun Lee Sangmook Kim Joonkee Kim Se-Young Yun MedIm 63 20 0 07 Dec 2022
Federated Learning for 5G Base Station Traffic Forecasting V. Perifanis Nikolaos Pavlidis R. Koutsiamanis P. Efraimidis AI4TS 90 45 0 28 Nov 2022
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges K. T. Baghaei Amirreza Payandeh Pooya Fayyazsanavi Shahram Rahimi Zhiqian Chen Somayeh Bakhtiari Ramezani FaML AI4TS 69 6 0 27 Nov 2022
Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model A. Luccioni S. Viguier Anne-Laure Ligozat 106 293 0 03 Nov 2022
EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search Pedram Bakhtiarifard Christian Igel Raghavendra Selvan 97 8 0 12 Oct 2022
The Cost of Training Machine Learning Models over Distributed Data Sources Elia Guerra F. Wilhelmi M. Miozzo Paolo Dini FedML 96 23 0 15 Sep 2022
Efficient Methods for Natural Language Processing: A Survey Marcos Vinícius Treviso Ji-Ung Lee Tianchu Ji Betty van Aken Qingqing Cao ... Emma Strubell Niranjan Balasubramanian Leon Derczynski Iryna Gurevych Roy Schwartz 154 114 0 31 Aug 2022
Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation Nicklas Boserup Raghavendra Selvan SSL 69 8 0 23 Aug 2022
Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training Jie You Jaehoon Chung Mosharaf Chowdhury 80 82 0 12 Aug 2022
Gradient Flows for L2 Support Vector Machine Training Christian Bauckhage H. Schneider Benjamin Wulff R. Sifa 62 0 0 08 Aug 2022
Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI S. Budennyy V. Lazarev N. Zakharenko A. Korovin Olga Plosskaya ... Ivan Oseledets I. Barsola Ilya M. Egorov A. Kosterina L. Zhukov 99 107 0 31 Jul 2022
Smart Multi-tenant Federated Learning Weiming Zhuang Yonggang Wen Shuai Zhang FedML 93 2 0 09 Jul 2022
An Energy and Carbon Footprint Analysis of Distributed and Federated Learning S. Savazzi V. Rampa Sanaz Kianoush M. Bennis 69 45 0 21 Jun 2022
Measuring the Carbon Intensity of AI in Cloud Instances Jesse Dodge Taylor Prewitt Rémi Tachet des Combes Erika Odmark Roy Schwartz Emma Strubell A. Luccioni Noah A. Smith Nicole DeCario Will Buchanan 90 199 0 10 Jun 2022
Metrics reloaded: Recommendations for image analysis validation Lena Maier-Hein Annika Reinke Patrick Godau M. Tizabi Florian Buettner ... Aleksei Tiulpin Sotirios A. Tsaftaris Ben Van Calster Gaël Varoquaux Paul F. Jäger 145 237 0 03 Jun 2022
Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review S. Salcedo-Sanz Jorge Pérez-Aracil G. Ascenso Javier Del Ser D. Casillas-Pérez ... D. Barriopedro R. García-Herrera Marcello Restelli M. Giuliani A. Castelletti AI4Cl 70 13 0 03 Jun 2022
Towards Climate Awareness in NLP Research Daniel Hershcovich Nicolas Webersinke Mathias Kraus J. Bingler Markus Leippold 123 34 0 10 May 2022
Spiking Graph Convolutional Networks Zulun Zhu Jiaying Peng Jintang Li Liang Chen Qi Yu Siqiang Luo GNN 62 46 0 05 May 2022