EDLAB : a benchmark for edge deep learning accelerators

• Main Authors: Kong, Hao, Huai, Shuo, Liu, Di, Zhang, Lei, Chen, Hui, Zhu, Shien, Li, Shiqing, Liu, Weichen, Rastogi, Manu, Subramaniam, Ravi, Athreya, Madhu, Lewis, M. Anthony
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Benchmark; Deep Learning; Edge Accelerator; Deployment
• Online Access: https://hdl.handle.net/10356/155807
• Institution: Nanyang Technological University

A new trend tends to deploy deep learning algorithms to edge environments to mitigate privacy and latency issues from cloud computing. Diverse edge deep learning accelerators are devised to speed up the inference of deep learning algorithms on edge devices. Various edge deep learning accelerator...