Designing efficient DNNs via hardware-aware neural architecture search and beyond

• Main Authors: Luo, Xiangzhong, Liu, Di, Huai, Shuo, Kong, Hao, Chen, Hui, Liu, Weichen
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Deep Neural Networks; Neural Architecture Search
• Online Access: https://hdl.handle.net/10356/155785
• Institution: Nanyang Technological University

Hardware systems integrated with deep neural networks (DNNs) are deemed to pave the way for future artificial intelligence (AI). However, manually designing efficient DNNs involves non-trivial computation resources since significant trial-and-errors are required to finalize the network configuration...