A full-stack LUT-as-neuron FPGA framework reports up to 205× lower latency than BNN accelerators and higher LUT efficiency than prior differentiable LUT networks at competitive binary accuracy.
Neuroblend: Towards low-power yet accurate neural network-based inference engine blending binary and fixed-point convolutions,
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FPGN: Redefining Ultra-Fast Programmable Gate-based Neural Acceleration with Differentiable LUTs
A full-stack LUT-as-neuron FPGA framework reports up to 205× lower latency than BNN accelerators and higher LUT efficiency than prior differentiable LUT networks at competitive binary accuracy.