XpulpNN: Enabling Energy Efficient and Flexible Inference of Quantized Neural Networks on RISC-V based IoT End Nodes.

Angelo Garofalo, Giuseppe Tagliavini, Francesco Conti, Luca Benini, Davide Rossi

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