Computation and memory optimized spectral domain convolutional neural network for throughput and energy-efficient inference

• Main Authors: Rizvi, Shahriyar Masud, Ab. Rahman, Ab. Al-Hadi, Sheikh, Usman Ullah, Fuad, Kazi Ahmed Asif, Shehzad, Hafiz Muhammad Faisal
• Format: Article
• Published: Springer 2023
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/105057/; http://dx.doi.org/10.1007/s10489-022-03756-1
• Institution: Universiti Teknologi Malaysia

Conventional convolutional neural networks (CNNs) present a high computational workload and memory access cost (CMC). Spectral domain CNNs (SpCNNs) offer a computationally efficient approach to compute CNN training and inference. This paper investigates CMC of SpCNNs and its contributing components...