A Novel Approximate Hamming Weight Computing for Spiking Neural Networks: an FPGA Friendly Architecture

Kaveh Akbarzadeh-Sherbaf, Mikaeel Bahmani, Danial Ghiaseddin +2

Hamming weights of sparse and long binary vectors are important modules in many scientific applications, particularly in spiking neural networks that are of our interest. To improv…