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.
Acceleration of fpga based convolutional neural network for human activity classification using millimeter-wave radar,
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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.