End-to-End DNN Inference on a Massively Parallel Analog In Memory Computing Architecture

Nazareno Bruschi, Giuseppe Tagliavini, Angelo Garofalo +4

The demand for computation resources and energy efficiency of Convolutional Neural Networks (CNN) applications requires a new paradigm to overcome the "Memory Wall". Analog In-Memo…