Energy and Emissions of Machine Learning on Smartphones vs. the Cloud-Reference-Cited by-同舟云学术

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Energy and Emissions of Machine Learning on Smartphones vs. the Cloud

Published:2024-01-25 Issue:2 Volume:67 Page:86-97
ISSN:0001-0782
Container-title:Communications of the ACM
language:en
Short-container-title:Commun. ACM

Author:

Patterson David¹,Gilbert Jeffrey M.²,Gruteser Marco³,Robles Efren³,Sekar Krishna³,Wei Yong³,Zhu Tenghui³

Affiliation:

1. University of California, Berkeley, CA, USA

2. Google in Cambridge, MA, USA

3. Google in Mountain View, CA, USA

Abstract

A Google case study finds ML training in the cloud can reduce CO 2 e emissions up to 100×.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/3624719

Reference38 articles.

1. A survey on energy estimation and power modeling schemes for smartphone applications

2. Smart at what cost?

3. Alphabet. CDP Climate Change Response, Aug. 2022.

4. Apple. Use Clean Energy Charging on your iPhone, June 2023.

5. Bankmycell. How Many Smartphones Are In The World? 2022.

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