Optimizing FPGA-based CNN accelerator for energy efficiency with an extended Roofline model

• Main Authors: Ayat, Sayed Omid, Hani, M. Khalil, Ab. Rahman, Ab. Al-Hadi
• Format: Article
• Published: Turkiye Klinikleri Journal of Medical Sciences 2018
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/85533/; http://dx.doi.org/10.3906/ELK-1706-222
• Institution: Universiti Teknologi Malaysia

In recent years, the convolutional neural network (CNN) has found wide acceptance in solving practical computer vision and image recognition problems. Also recently, due to its exibility, faster development time, and energy efficiency, the field-programmable gate array (FPGA) has become an attractiv...