Achieving Green AI with Energy-Efficient Deep Learning Using Neuromorphic Computing
Tao Luo, Weng‐Fai Wong, Rick Siow Mong Goh, Anh Tuan, Zhixian Chen, Haizhou Li, Wenyu Jiang, Wei‐Yun Yau
Abstract
research-article Free Access Share on Achieving Green AI with Energy-Efficient Deep Learning Using Neuromorphic Computing Authors: Tao Luo Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (ASTAR), in Singapore Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (ASTAR), in SingaporeView Profile , Weng-Fai Wong National University of Singapore (NUS), Singapore National University of Singapore (NUS), SingaporeView Profile , Rick Siow Mong Goh Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (ASTAR), in Singapore Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (ASTAR), in SingaporeView Profile , Anh Tuan Do Institute of Microelectronics (IME), Agency for Science, Technology and Research (ASTAR), in Singapore Institute of Microelectronics (IME), Agency for Science, Technology and Research (ASTAR), in SingaporeView Profile , Zhixian Chen Institute of Microelectronics (IME), Agency for Science, Technology and Research (ASTAR), in Singapore Institute of Microelectronics (IME), Agency for Science, Technology and Research (ASTAR), in SingaporeView Profile , Haizhou Li National University of Singapore (NUS), Singapore National University of Singapore (NUS), SingaporeView Profile , Wenyu Jiang Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (ASTAR), in Singapore Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (ASTAR), in SingaporeView Profile , Weiyun Yau Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (ASTAR), in Singapore Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (ASTAR), in SingaporeView Profile Authors Info & Claims Communications of the ACMVolume 66Issue 7July 2023pp 52–57https://doi.org/10.1145/3588591Published:22 June 2023Publication History 0citation2,473DownloadsMetricsTotal Citations0Total Downloads2,473Last 12 Months2,473Last 6 weeks2,043 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteView all FormatsPDF