A Novel FPGA Accelerator Design for Real-Time and Ultra-Low Power Deep Convolutional Neural Networks Compared With Titan X GPU.
Shuai LiYukui LuoKuangyuan SunNandakishor YadavKyuwon Ken ChoiPublished in: IEEE Access (2020)
Keyphrases
- real time
- fpga implementation
- convolutional neural networks
- design process
- low power consumption
- fpga hardware
- low cost
- low power
- high speed
- parallel implementation
- ultra low power
- fpga device
- single chip
- graphics hardware
- efficient implementation
- field programmable gate array
- graphics processing units
- signal processing
- control system
- user interface
- feature extraction