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The skyrocketing demand for artificial intelligence (AI) has created an enormous appetite for globally deployed power-hungry servers.
Fair end-to-end window-based congestion control
Jeonghoon Mo and Jean Walrand. 2000 · 2000
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Communication networks: an optimization, control, and stochastic networks perspective
Rayadurgam Srikant and Lei Ying. 2013 · 2013
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Exploiting Spatio-Temporal Diversity for Water Saving in Geo-Distributed Data Centers
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Enabling Sustainable Clouds: The Case for Virtualizing the Energy System. In Proceedings of the ACM Symposium on Cloud Computing (Seattle, WA, USA) (SoCC ’21) . Association for Computing Machinery, New York, NY, USA, 350–358
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On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?. In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (Virtual Event, Canada) (FAccT ’21) . Association for Computing Machinery, New York, NY, USA, 610–623
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CarbonCast: Multi-day Forecasting of Grid Carbon Intensity. In Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation . 198–207
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Measuring the Environmental Impacts of Artificial Intelligence Compute and Applications: The AI Footprint
OECD. 2022 · 2022
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The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink
David Patterson, Joseph Gonzalez, Urs Hölzle, Quoc Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David R. So, Maud Texier, and Jeff Dean. 2022 · 2022
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A Review on Fairness in Machine Learning
Dana Pessach and Erez Shmueli. 2022 · 2022
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Carbon-Aware Computing for Datacenters
Ana Radovanović, Ross Koningstein, Ian Schneider, Bokan Chen, Alexandre Duarte, Binz Roy, Diyue Xiao, Maya Haridasan, Patrick Hung, Nick Care, Saurav Talukdar, Eric Mullen, Kendal Smith, MariEllen Cottman, and Walfredo Cirne. 2023 · 2022
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Recommendation on the Ethics of Artificial Intelligence. In Policy Recommendation
UNESCO. 2022 · 2022
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FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
Lingjiao Chen, Matei Zaharia, and James Zou. 2023 · 2023
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Google. 2023 · 2023
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ISO/IEC TR 20226 Sustainability: Harnessing the Power of AI
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AI Now 2023 Landscape: Confronting Tech Power
Amba Kak and Sarah Myers West. 2023 · 2023
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DCFlex Initiative
EPRI. 2024 · 2024
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Making AI Less “Thirsty”: Uncovering and Addressing the Secret Water Footprint of AI Models
Pengfei Li, Jianyi Yang, Mohammad A. Islam, and Shaolei Ren. 2024 (accepted) · 2024
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Sustainable AI: Environmental Implications, Challenges and Opportunities. In Proceedings of Machine Learning and Systems , Vol. 4. 795–813
Carole-Jean Wu, Ramya Raghavendra, Udit Gupta, Bilge Acun, Newsha Ardalani, Kiwan Maeng, Gloria Chang, Fiona Aga, Jinshi Huang, Charles Bai, et al · 2022
Cited alongside, same era.
Carbon Explorer: A Holistic Framework for Designing Carbon Aware Datacenters. In Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2 (Vancouver, BC, Canada) (ASPLOS 2023) . Association for Computing Machinery, New York, NY, USA, 118–132
Bilge Acun, Benjamin Lee, Fiodar Kazhamiaka, Kiwan Maeng, Udit Gupta, Manoj Chakkaravarthy, David Brooks, and Carole-Jean Wu. 2023 · 2023
Cited alongside, same era.
Benefits and Risks of Generative Artificial Intelligence Report
California Government Operations Agency. 2023 · 2023
Cited alongside, same era.
About the U.S. Electricity System and its Impact on the Environment
U.S. EPA. [n. d.]
Cited in the paper.
Towards Environmentally Equitable AI via Geographical Load Balancing. In e-Energy
Pengfei Li, Jianyi Yang, Adam Wierman, and Shaolei Ren. 2024 · 2024
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CDN-Shifter: Leveraging Spatial Workload Shifting to Decarbonize Content Delivery Networks. In Proceedings of the 2024 ACM Symposium on Cloud Computing . 505–521
Jorge Murillo, Walid A Hanafy, David Irwin, Ramesh Sitaraman, and Prashant Shenoy. 2024 · 2024
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