The N3XT approach to energy-efficient abundant-data computing

• Main Authors: Mohamed M. Sabry Aly, Wu, Tony F., Bartolo, Andrew, Malviya, Yash H., Hwang, William, Hills, Gage, Markov, Igor, Wootters, Mary, Shulaker, Max M., Wong, Philip H.-S., Mitra, Subhasish
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; CNTFETs; Energy Efficiency
• Online Access: https://hdl.handle.net/10356/143253
• Institution: Nanyang Technological University

The world's appetite for analyzing massive amounts of structured and unstructured data has grown dramatically. The computational demands of these abundant-data applications, such as deep learning, far exceed the capabilities of today's computing systems and are unlikely to be met with isol...