computation skipping

EANN: Energy Adaptive Neural Networks

1 min read · Tue, May 5 2020

Circuits truncated accumulation neuron skipping computation skipping FPGA

Salma Hassan, et al., "EANN: Energy Adaptive Neural Networks." Electronics 9 (5), 2020, 746. This paper proposes an Energy Adaptive Feedforward Neural Network (EANN). It uses multiple approximation techniques in the hardware implementation of the neuron unit. The used techniques are precision scaling, approximate multiplier, computation skipping, neuron skipping, activation function approximation and truncated accumulation. The proposed EANN system applies the partial dynamic reconfiguration (PDR) feature supported by the FPGA platform to reconfigure the hardware elements of the neural network