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Sustainable AI: Environmental Implications, Challenges and Opportunities
v1v2 (latest)

Sustainable AI: Environmental Implications, Challenges and Opportunities

Conference on Machine Learning and Systems (MLSys), 2021
30 October 2021
Carole-Jean Wu
Ramya Raghavendra
Udit Gupta
Bilge Acun
Newsha Ardalani
Kiwan Maeng
Gloria Chang
Fiona Aga Behram
James Huang
Charles Bai
M. Gschwind
Anurag Gupta
Myle Ott
Anastasia Melnikov
Salvatore Candido
David Brooks
Geeta Chauhan
Benjamin C. Lee
Hsien-Hsin S. Lee
Bugra Akyildiz
Maximilian Balandat
Joe Spisak
R. Jain
Michael G. Rabbat
K. Hazelwood
ArXiv (abs)PDFHTML

Papers citing "Sustainable AI: Environmental Implications, Challenges and Opportunities"

42 / 192 papers shown
MP-Rec: Hardware-Software Co-Design to Enable Multi-Path Recommendation
MP-Rec: Hardware-Software Co-Design to Enable Multi-Path RecommendationInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2023
Samuel Hsia
Udit Gupta
Bilge Acun
Newsha Ardalani
Pan Zhong
Gu-Yeon Wei
David Brooks
Carole-Jean Wu
205
20
0
21 Feb 2023
Counting Carbon: A Survey of Factors Influencing the Emissions of
  Machine Learning
Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning
A. Luccioni
Alex Hernandez-Garcia
236
70
0
16 Feb 2023
The Framework Tax: Disparities Between Inference Efficiency in NLP
  Research and Deployment
The Framework Tax: Disparities Between Inference Efficiency in NLP Research and DeploymentConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Jared Fernandez
Jacob Kahn
Clara Na
Yonatan Bisk
Emma Strubell
FedML
306
13
0
13 Feb 2023
Towards energy-efficient Deep Learning: An overview of energy-efficient
  approaches along the Deep Learning Lifecycle
Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle
Vanessa Mehlin
Sigurd Schacht
Carsten Lanquillon
HAIMedIm
244
25
0
05 Feb 2023
The Flan Collection: Designing Data and Methods for Effective
  Instruction Tuning
The Flan Collection: Designing Data and Methods for Effective Instruction TuningInternational Conference on Machine Learning (ICML), 2023
Shayne Longpre
Le Hou
Tu Vu
Albert Webson
Hyung Won Chung
...
Denny Zhou
Quoc V. Le
Barret Zoph
Jason W. Wei
Adam Roberts
ALM
409
849
0
31 Jan 2023
Can Persistent Homology provide an efficient alternative for Evaluation
  of Knowledge Graph Completion Methods?
Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods?The Web Conference (WWW), 2023
Anson Bastos
Kuldeep Singh
Abhishek Nadgeri
Johannes Hoffart
Toyotaro Suzumura
Manish Singh
243
3
0
30 Jan 2023
Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and
  Toxicity
Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and Toxicity
Terry Yue Zhuo
Yujin Huang
Chunyang Chen
Zhenchang Xing
SILM
500
133
0
30 Jan 2023
Is TinyML Sustainable? Assessing the Environmental Impacts of Machine
  Learning on Microcontrollers
Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on MicrocontrollersCommunications of the ACM (CACM), 2023
Yasmine Omri
Matthew P. Stewart
Colby R. Banbury
Mark Mazumder
Pete Warden
Brian Plancher
Vijay Janapa Reddi
350
26
0
27 Jan 2023
A Green(er) World for A.I
A Green(er) World for A.IIEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPS), 2022
Dan Zhao
Nathan C. Frey
Joseph McDonald
Matthew Hubbell
David Bestor
Michael Jones
Andrew Prout
V. Gadepally
S. Samsi
142
9
0
27 Jan 2023
A Systematic Review of Green AI
A Systematic Review of Green AI
Roberto Verdecchia
June Sallou
Luís Cruz
381
248
0
26 Jan 2023
Data Distillation: A Survey
Data Distillation: A Survey
Noveen Sachdeva
Julian McAuley
DD
368
95
0
11 Jan 2023
FlexShard: Flexible Sharding for Industry-Scale Sequence Recommendation
  Models
FlexShard: Flexible Sharding for Industry-Scale Sequence Recommendation Models
Geet Sethi
Pallab Bhattacharya
Dhruv Choudhary
Carole-Jean Wu
Christos Kozyrakis
233
5
0
08 Jan 2023
Mystique: Enabling Accurate and Scalable Generation of Production AI
  Benchmarks
Mystique: Enabling Accurate and Scalable Generation of Production AI BenchmarksInternational Symposium on Computer Architecture (ISCA), 2022
Mingyu Liang
Wenyin Fu
Louis Feng
Zhongyi Lin
P. Panakanti
Shengbao Zheng
Srinivas Sridharan
Christina Delimitrou
181
16
0
16 Dec 2022
A Rubric for Human-like Agents and NeuroAI
A Rubric for Human-like Agents and NeuroAIPhilosophical Transactions of the Royal Society of London. Biological Sciences (Phil. Trans. R. Soc. B), 2022
Ida Momennejad
264
20
0
08 Dec 2022
FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient
  Federated Learning
FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated LearningIEEE International Symposium on Workload Characterization (IISWC), 2022
Young Geun Kim
Carole-Jean Wu
FedML
216
5
0
30 Nov 2022
Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language
  Model
Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language ModelJournal of machine learning research (JMLR), 2022
A. Luccioni
S. Viguier
Anne-Laure Ligozat
602
421
0
03 Nov 2022
Desiderata for next generation of ML model serving
Desiderata for next generation of ML model serving
Sherif Akoush
Andrei Paleyes
A. V. Looveren
Clive Cox
301
8
0
26 Oct 2022
Legal-Tech Open Diaries: Lesson learned on how to develop and deploy
  light-weight models in the era of humongous Language Models
Legal-Tech Open Diaries: Lesson learned on how to develop and deploy light-weight models in the era of humongous Language Models
Stelios Maroudas
Sotiris Legkas
Prodromos Malakasiotis
Ilias Chalkidis
VLMAILawALMELM
262
5
0
24 Oct 2022
The Future of Consumer Edge-AI Computing
The Future of Consumer Edge-AI ComputingIEEE pervasive computing (PC), 2022
Stefanos Laskaridis
Stylianos I. Venieris
Alexandros Kouris
Rui Li
Nicholas D. Lane
402
16
0
19 Oct 2022
Green Learning: Introduction, Examples and Outlook
Green Learning: Introduction, Examples and OutlookJournal of Visual Communication and Image Representation (JVCIR), 2022
C.-C. Jay Kuo
A. Madni
255
89
0
03 Oct 2022
Efficient Methods for Natural Language Processing: A Survey
Efficient Methods for Natural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL), 2022
Marcos Vinícius Treviso
Ji-Ung Lee
Tianchu Ji
Betty van Aken
Qingqing Cao
...
Emma Strubell
Niranjan Balasubramanian
Leon Derczynski
Iryna Gurevych
Roy Schwartz
370
140
0
31 Aug 2022
Efficient Self-Supervision using Patch-based Contrastive Learning for
  Histopathology Image Segmentation
Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation
Nicklas Boserup
Raghavendra Selvan
SSL
242
9
0
23 Aug 2022
Understanding Scaling Laws for Recommendation Models
Understanding Scaling Laws for Recommendation Models
Newsha Ardalani
Carole-Jean Wu
Zeliang Chen
Bhargav Bhushanam
Adnan Aziz
165
47
0
17 Aug 2022
Zeus: Understanding and Optimizing GPU Energy Consumption of DNN
  Training
Zeus: Understanding and Optimizing GPU Energy Consumption of DNN TrainingSymposium on Networked Systems Design and Implementation (NSDI), 2022
Jie You
Jaehoon Chung
Mosharaf Chowdhury
292
121
0
12 Aug 2022
Training Overparametrized Neural Networks in Sublinear Time
Training Overparametrized Neural Networks in Sublinear Time
Yichuan Deng
Han Hu
Zhao Song
Omri Weinstein
Danyang Zhuo
BDL
271
30
0
09 Aug 2022
Sustainable Computing -- Without the Hot Air
Sustainable Computing -- Without the Hot AirACM SIGEnergy Energy Informatics Review (SEIR), 2022
Noman Bashir
David Irwin
Prashant J. Shenoy
Abel Souza
217
22
0
30 Jun 2022
Measuring the Carbon Intensity of AI in Cloud Instances
Measuring the Carbon Intensity of AI in Cloud InstancesConference on Fairness, Accountability and Transparency (FAccT), 2022
Jesse Dodge
Taylor Prewitt
Rémi Tachet des Combes
Erika Odmark
Roy Schwartz
Emma Strubell
A. Luccioni
Noah A. Smith
Nicole DeCario
Will Buchanan
231
245
0
10 Jun 2022
Adversarial Text Normalization
Adversarial Text NormalizationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Joanna Bitton
Maya Pavlova
Ivan Evtimov
AAML
187
3
0
08 Jun 2022
Machine Learning Sensors
Machine Learning Sensors
Pete Warden
Matthew P. Stewart
Brian Plancher
Colby R. Banbury
Yasmine Omri
Emma Chen
Zain Asgar
Sachin Katti
Vijay Janapa Reddi
181
14
0
07 Jun 2022
Position: Tensor Networks are a Valuable Asset for Green AI
Position: Tensor Networks are a Valuable Asset for Green AIInternational Conference on Machine Learning (ICML), 2022
Eva Memmel
Clara Menzen
Jetze T. Schuurmans
Frederiek Wesel
Kim Batselier
309
9
0
25 May 2022
Towards Climate Awareness in NLP Research
Towards Climate Awareness in NLP ResearchConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Daniel Hershcovich
Nicolas Webersinke
Mathias Kraus
J. Bingler
Markus Leippold
414
44
0
10 May 2022
OPT: Open Pre-trained Transformer Language Models
OPT: Open Pre-trained Transformer Language Models
Susan Zhang
Stephen Roller
Naman Goyal
Mikel Artetxe
Moya Chen
...
Daniel Simig
Punit Singh Koura
Anjali Sridhar
Tianlu Wang
Luke Zettlemoyer
VLMOSLMAI4CE
867
4,378
0
02 May 2022
MRKL Systems: A modular, neuro-symbolic architecture that combines large
  language models, external knowledge sources and discrete reasoning
MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning
Ehud D. Karpas
Omri Abend
Yonatan Belinkov
Barak Lenz
Opher Lieber
...
Erez Schwartz
Gal Shachaf
Shai Shalev-Shwartz
Amnon Shashua
Moshe Tenenholtz
LLMAG
255
106
0
01 May 2022
Data-Centric Green AI: An Exploratory Empirical Study
Data-Centric Green AI: An Exploratory Empirical StudyICT for Sustainability (ICT4S), 2022
Roberto Verdecchia
Luís Cruz
June Sallou
Michelle Lin
James Wickenden
Estelle Hotellier
218
61
0
06 Apr 2022
RecShard: Statistical Feature-Based Memory Optimization for
  Industry-Scale Neural Recommendation
RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale Neural RecommendationInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2022
Geet Sethi
Bilge Acun
Niket Agarwal
Christos Kozyrakis
Caroline Trippel
Carole-Jean Wu
234
78
0
25 Jan 2022
Carbon Explorer: A Holistic Approach for Designing Carbon Aware
  Datacenters
Carbon Explorer: A Holistic Approach for Designing Carbon Aware DatacentersInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2022
Bilge Acun
Benjamin C. Lee
Fiodar Kazhamiaka
Kiwan Maeng
Manoj Chakkaravarthy
Udit Gupta
David Brooks
Carole-Jean Wu
282
146
0
25 Jan 2022
On Sampling Collaborative Filtering Datasets
On Sampling Collaborative Filtering DatasetsWeb Search and Data Mining (WSDM), 2022
Noveen Sachdeva
Carole-Jean Wu
Julian McAuley
191
18
0
13 Jan 2022
Efficient Large Scale Language Modeling with Mixtures of Experts
Efficient Large Scale Language Modeling with Mixtures of ExpertsConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Mikel Artetxe
Shruti Bhosale
Naman Goyal
Todor Mihaylov
Myle Ott
...
Jeff Wang
Luke Zettlemoyer
Mona T. Diab
Zornitsa Kozareva
Ves Stoyanov
MoE
475
224
0
20 Dec 2021
Edge-Native Intelligence for 6G Communications Driven by Federated
  Learning: A Survey of Trends and Challenges
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and ChallengesIEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2021
Mohammad M. Al-Quraan
Lina S. Mohjazi
Lina Bariah
A. Centeno
A. Zoha
Sami Muhaidat
Mérouane Debbah
Muhammad Ali Imran
187
93
0
14 Nov 2021
Unraveling the Hidden Environmental Impacts of AI Solutions for
  Environment
Unraveling the Hidden Environmental Impacts of AI Solutions for Environment
Anne-Laure Ligozat
J. Lefèvre
Aurélie Bugeau
Jacques Combaz
152
145
0
22 Oct 2021
Looper: An end-to-end ML platform for product decisions
Looper: An end-to-end ML platform for product decisions
I. Markov
Hanson Wang
Nitya Kasturi
Shaun Singh
Szeto Wai Yuen
...
Michael Belkin
Sal Uryasev
Sam Howie
E. Bakshy
Norm Zhou
OffRL
372
17
0
14 Oct 2021
QuaRL: Quantization for Fast and Environmentally Sustainable
  Reinforcement Learning
QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning
Srivatsan Krishnan
Maximilian Lam
Sharad Chitlangia
Zishen Wan
Gabriel Barth-Maron
Aleksandra Faust
Vijay Janapa Reddi
MQ
273
33
0
02 Oct 2019
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