SCRAMBLE: A Secure and Configurable, Memristor-Based Neuromorphic Hardware Leveraging 3D Architecture

Authors: N. Rangarajan, S. Patnaik, M. Nabeel, M. Ashraf, S. Rai, G. Raut, H. Abunahla, B. Mohammad, S. K. Vishvakarma, A. Kumar, J. Knechtel, O. Sinanoglu

2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), pp. 308-313; Jul. 2022