@inproceedings{a9d2401dd07146819a7383d0fb6a3bc7,
title = "Low power in-memory computing based on dual-mode SOT-MRAM",
abstract = "In this paper, we propose a novel Spin Orbit Torque Magnetic Random Access Memory (SOT-MRAM) array design that could simultaneously work as non-volatile memory and implement a reconfigurable in-memory logic (AND, OR) without add-on logic circuits to memory chip as in traditional logic-in-memory designs. The computed logic output could be simply read out like a normal MRAM bit-cell using the shared memory peripheral circuits. Such intrinsic in-memory logic could be used to process data within memory to greatly reduce power-hungry and long distance data communication in conventional Von-Neumann computing systems. We further employ in-memory data encryption using Advanced Encryption Standard (AES) algorithm as a case study to demonstrate the efficiency of the proposed design. The device to architecture co-simulation results show that the proposed design can achieve 70.15% and 80.87% lower energy consumption compared to CMOS-ASIC and CMOL-AES implementations, respectively. It offers almost similar energy consumption as recent DW-AES implementation, but with 60.65% less area overhead.",
keywords = "In-memory computing, SOT-MRAM, giant spin hall effect, magnetic tunnel junction, memory architecture",
author = "Farhana Parveen and Shaahin Angizi and Zhezhi He and Deliang Fan",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 22nd IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2017 ; Conference date: 24-07-2017 Through 26-07-2017",
year = "2017",
month = aug,
day = "11",
doi = "10.1109/ISLPED.2017.8009200",
language = "English (US)",
series = "Proceedings of the International Symposium on Low Power Electronics and Design",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ISLPED 2017 - IEEE/ACM International Symposium on Low Power Electronics and Design",
address = "United States",
}