On hardware-aware design and optimization of edge intelligence

• Main Authors: Huai, Shuo, Kong, Hao, Luo, Xiangzhong, Liu, Di, Subramaniam, Ravi, Makaya, Christian, Lin, Qian, Liu, Weichen
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; Computational Modeling; Hardware
• Online Access: https://hdl.handle.net/10356/171735
• Institution: Nanyang Technological University

Edge intelligence systems, the intersection of edge computing and artificial intelligence (AI), are pushing the frontier of AI applications. However, the complexity of deep learning models and heterogeneity of edge devices make the design of edge intelligence systems a challenging task. Hardware-agn...