FPGA-Optimized Neural Architecture Search for Enhanced Hardware Efficiency (FONAS)

Searched for the set of efficient deep neural architectures (FPGANets) for image classification with two constraints: arithmetic intensity and latency for FPGA. This approach outperformed many existing networks in terms of both latency and accuracy on ImageNet-1k.