The Environmental Cost of Engineering Machine Learning-Enabled Systems-Reference-Cited by-同舟云学术

The Environmental Cost of Engineering Machine Learning-Enabled Systems

Published:2024-04-22 Issue: Volume:8 Page:200-207
ISSN:
Container-title:Proceedings of the 4th Workshop on Machine Learning and Systems
language:
Short-container-title:

Author:

Chadli Kouider¹^ORCID,Botterweck Goetz²^ORCID,Saber Takfarinas³^ORCID

Affiliation:

1. Lero, the Science Foundation Ireland, Research Centre for Software, School of Computer Science, University Galway, Galway, Ireland

2. Lero, the Science Foundation Ireland, Research Centre for Software, School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland

3. Lero, the Science Foundation Ireland, Research Centre for Software, School of Computer Science, University of Galway, Galway, Ireland

Funder

Lero

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3642970.3655828

Reference69 articles.

1. Bilge Acun Benjamin Lee Fiodar Kazhamiaka Kiwan Maeng Udit Gupta Manoj Chakkaravarthy David Brooks and Carole-Jean Wu. 2023. Carbon explorer: A holistic framework for designing carbon aware datacenters. In ACM. 118--132.

2. Phyllis Ang, Bhuwan Dhingra, and Lisa Wu Wills. 2022. Characterizing the Efficiency vs. Accuracy Trade-off for Long-Context NLP Models. arXiv preprint arXiv:2204.07288 (2022).

3. Lasse F Wolff Anthony, Benjamin Kanding, and Raghavendra Selvan. 2020. Carbontracker: Tracking and predicting the carbon footprint of training deep learning models. arXiv preprint arXiv:2007.03051 (2020).

4. Rethinking the Concept of Sustainability

5. Christoph Becker Ruzanna Chitchyan Leticia Duboc Steve Easterbrook Martin Mahaux Birgit Penzenstadler Guillermo Rodriguez-Navas Camille Salinesi Norbert Seyff Colin Venters et al. 2014. The Karlskrona manifesto for sustainability design. arXiv preprint arXiv:1410.6968 (2014).

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