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Resistive Crossbar Arrays present an elegant implementation solution for Deep Neural Networks acceleration. The Matrix-Vector Multiplication, which is the corner-stone of DNNs, is carried out in O(1) compared to O(N 2 ) steps for digital realizations of O(log 2 (N )) steps for in-memory associative processors. However, the IR drop problem, caused by the inevitable interconnect wire resistance in RCAs remains a daunting challenge. In this paper, we propose a fast and efficient training anddoi:10.1109/access.2020.3044652 fatcat:3akhrmwkf5exhesqbxpvqfoc6i