Design of energy-efficient convolution neural network accelerator

• Main Author: Shao, Yuhan
• Other Authors: Kim Tae Hyoung
• Format: Thesis-Master by Coursework
• Language: English
• Published: Nanyang Technological University 2025
• Subjects: Engineering; Internet of Things; Convolutional neural networks; Very large scale integration; Eyeriss architecture; Hardware accelerator; Energy-efficient memory hierarchies; Parallel processing unit
• Online Access: https://hdl.handle.net/10356/182747
• Institution: Nanyang Technological University

The rapid growth of Internet of Things (IoT) devices has created a need for efficient, low power computing solutions that can handle tasks like image and speech recognition. Convolutional Neural Networks (CNNs) are key for these intelligent tasks because they perform well in many machine learnin...