Scan me!
用微信扫描二维码
分享至好友和朋友圈
    [会议]2023 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement  Joel Castaño, Silverio Martínez-Fernández, Xavier Franch, Justus Bogner

摘要: Background: The rise of machine learning (ML) systems has exacerbated their carbon footprint due to increased capabilities and model sizes. However, there is scarce knowledge on how the carbon footprint of ML models is actually me... 展开

翻译摘要
作者 Joel Castaño   Silverio Martínez-Fernández   Xavier Franch   Justus Bogner  
作者单位
文集名称 2023 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement
出版年 2023
会议名称 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement  
页码 1-12 开始页/总页数 1 / 12
会议地点 New Orleans(US) 会议年 2023
关键词 Training   Correlation   Green products   Carbon dioxide   Energy efficiency   Software measurement   Data mining  
馆藏号 IEL35260 (10304838)
相关作者
相关关键词