David Patterson, Jeffrey M. Gilbert, Marco Gruteser, Efren Robles, Krishna Sekar, Yong Wei, Tenghui Zhu
{"title":"Energy and Emissions of Machine Learning on Smartphones vs. the Cloud","authors":"David Patterson, Jeffrey M. Gilbert, Marco Gruteser, Efren Robles, Krishna Sekar, Yong Wei, Tenghui Zhu","doi":"10.1145/3624719","DOIUrl":null,"url":null,"abstract":"\n A Google case study finds ML training in the cloud can reduce CO\n 2\n e emissions up to 100×.\n","PeriodicalId":11,"journal":{"name":"ACS Chemical Biology","volume":"3 8","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Chemical Biology","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3624719","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
A Google case study finds ML training in the cloud can reduce CO
2
e emissions up to 100×.
期刊介绍：
ACS Chemical Biology provides an international forum for the rapid communication of research that broadly embraces the interface between chemistry and biology.
The journal also serves as a forum to facilitate the communication between biologists and chemists that will translate into new research opportunities and discoveries. Results will be published in which molecular reasoning has been used to probe questions through in vitro investigations, cell biological methods, or organismic studies.
We welcome mechanistic studies on proteins, nucleic acids, sugars, lipids, and nonbiological polymers. The journal serves a large scientific community, exploring cellular function from both chemical and biological perspectives. It is understood that submitted work is based upon original results and has not been published previously.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
