Leveraging Dual-Mode Magnetic Crossbar For Ultra-Low Energy In-Memory Data Encryption
Keywords
In-memory encryption; Magnetic coupling; Magnetic crossbar
Abstract
The logic-in-memory architecture is highly promising for high-throughput data-driven applications. This paper presents a novel dual-mode magnetic crossbar architecture consisting of perpendicularly cross-coupled magnetic racetrack nanowires, which could morph between non-volatile multi-bit racetrack memory mode and in-memory data encryption mode. The proposed magnetic crossbar is able to automatically perform parallel in-memory bit-wise XOR computations of the data stored in the racetrack memories with the help of magnetic coupling physics without complex peripheral circuits, which could be leveraged to design energy efficient in-memory data encryption engine. We employ Advanced Encryption Standard (AES) algorithm to elucidate the efficiency of the proposed design. The device-to-architecture level simulation results show that the proposed architecture can achieve 70% and 17.5% lower energy consumption compared to CMOSASIC and recent domain wall (DW) AES implementations, respectively. In addition, the AES encryption speed increases by 29.7% compared to the DW-AES implementation.
Publication Date
5-10-2017
Publication Title
Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI
Volume
Part F127756
Number of Pages
83-88
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1145/3060403.3060460
Copyright Status
Unknown
Socpus ID
85021185931 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85021185931
STARS Citation
He, Zhezhi; Angizi, Shaahin; Parveen, Farhana; and Fan, Deliang, "Leveraging Dual-Mode Magnetic Crossbar For Ultra-Low Energy In-Memory Data Encryption" (2017). Scopus Export 2015-2019. 7517.
https://stars.library.ucf.edu/scopus2015/7517