Visualizing the Carbon Intensity of Machine Learning Inference for Image Analysis on TensorFlow Hub

Author:

Yoo Taewon1ORCID,Lee Hyunmin2ORCID,Oh SeungYoung2ORCID,Kwon Hyosun3ORCID,Jung Hyunggu4ORCID

Affiliation:

1. Department of Software Convergence, Kyung Hee University, Republic of Korea

2. Department of Computer Science and Engineering, University of Seoul, Republic of Korea

3. Department of Industrial Design, Kookmin University, Republic of Korea

4. Department of Computer Science and Engineering, University of Seoul, Republic of Korea and Department of Artificial Intelligence, University of Seoul, Republic of Korea

Funder

National Research Foundation of Korea

Publisher

ACM

Reference52 articles.

1. Why is Developing Machine Learning Applications Challenging? A Study on Stack Overflow Posts

2. Lasse F.  Wolff Anthony , Benjamin Kanding , and Raghavendra Selvan . 2020 . Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models. arxiv:2007.03051 [cs.CY] Lasse F. Wolff Anthony, Benjamin Kanding, and Raghavendra Selvan. 2020. Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models. arxiv:2007.03051 [cs.CY]

3. What do Developers Know About Machine Learning: A Study of ML Discussions on StackOverflow

4. On the Dangers of Stochastic Parrots

5. S.  A. Budennyy , V.  D. Lazarev , N.  N. Zakharenko , A.  N. Korovin , O.  A. Plosskaya , D.  V. Dimitrov , V.  S. Akhripkin , I.  V. Pavlov , I.  V. Oseledets , I.  S. Barsola , I.  V. Egorov , A.  A. Kosterina , and L.  E. Zhukov . 2022. eco2AI: Carbon Emissions Tracking of Machine Learning Models as the First Step Towards Sustainable AI. Doklady Mathematics 106, 1 (01 Dec 2022 ), S118–S128. https://doi.org/10.1134/S1064562422060230 10.1134/S1064562422060230 S. A. Budennyy, V. D. Lazarev, N. N. Zakharenko, A. N. Korovin, O. A. Plosskaya, D. V. Dimitrov, V. S. Akhripkin, I. V. Pavlov, I. V. Oseledets, I. S. Barsola, I. V. Egorov, A. A. Kosterina, and L. E. Zhukov. 2022. eco2AI: Carbon Emissions Tracking of Machine Learning Models as the First Step Towards Sustainable AI. Doklady Mathematics 106, 1 (01 Dec 2022), S118–S128. https://doi.org/10.1134/S1064562422060230

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