A survey of field programmable gate array (FPGA)-based graph convolutional neural network accelerators: challenges and opportunities.
Shun LiYuxuan TaoEnhao TangTing XieRuiqi ChenPublished in: PeerJ Comput. Sci. (2022)
Keyphrases
- field programmable gate array
- convolutional neural network
- hardware implementation
- embedded systems
- parallel computing
- programmable logic
- image processing algorithms
- hardware design
- hardware architecture
- face detection
- digital signal processors
- high end
- computing systems
- hardware software
- neural network
- low power consumption
- host computer
- fpga device
- massively parallel
- software systems
- detection method
- low cost
- image segmentation
- image processing
- reconfigurable hardware
- artificial intelligence
- fpga technology
- hardware software co design