Algorithm-hardware co-design of binary neural network for efficient super resolution on FPGA

Key Points

• The efficient super resolution achieved on FPGA demonstrates significant improvements in processing speed.
• Notably, the algorithm, combined with hardware co-design, allows for enhanced performance in neural network tasks.
• Analysis involved a systematic approach using binary neural networks to optimize FPGA resources for better applications.
• This co-design approach highlights the potential benefits of merging algorithm development with hardware specifications for performance.