XpulpNN: Enabling Energy Efficient and Flexible Inference of Quantized Neural Networks on RISC-V Based IoT End Nodes
Angelo Garofalo, Giuseppe Tagliavini, Francesco Conti, L. Benini, D. Rossi
IEEE Transactions on Emerging Topics in Computing