Design and Evaluation of a Spintronic In-Memory Processing Platform for Nonvolatile Data Encryption

被引:36
作者
Angizi, Shaahin [1 ]
He, Zhezhi [1 ]
Bagherzadeh, Nader [2 ]
Fan, Deliang [1 ]
机构
[1] Univ Cent Florida, Dept Elect & Comp Engn, Orlando, FL 32816 USA
[2] Univ Calif Irvine, Dept Elect Engn & Comp Sci, Irvine, CA 92697 USA
基金
美国国家科学基金会;
关键词
Advanced encryption standard (AES); domain wall motion (DWM); in-memory processing platform; spin Hall effect (SHE); LOGIC; MRAM;
D O I
10.1109/TCAD.2017.2774291
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we propose an energy-efficient reconfigurable platform for in-memory processing based on novel four-terminal spin Hall effect-driven domain wall motion devices that could be employed as both nonvolatile memory cell and inmemory logic unit. The proposed designs lead to unity of memory and logic. The device to system level simulation results show that, with 28% area increase in memory structure, the proposed inmemory processing platform achieves a write energy similar to 15.6 Whit with 79% reduction compared to that of SOT-MRAM counterpart while keeping the identical 1 ns writing speed. In addition, the proposed in-memory logic scheme improves the operating energy by 61.3%, as compared with the recent nonvolatile inmemory logic designs. An extensive reliability analysis is also performed over the proposed circuits. We employ advanced encryption standard (AES) algorithm as a case study to elucidate the efficiency of the proposed platform at application level. Simulation results exhibit that the proposed platform can show up to 75.7% and 30.4% lower energy consumption compared to CMOS-ASIC and recent pipelined domain wall (DW) AES implementations, respectively. In addition, the AES energy-delay product can show 15.1% and 6.1% improvements compared to the DW-AES and CMOS-ASIC implementations, respectively.
引用
收藏
页码:1788 / 1801
页数:14
相关论文
共 41 条
[1]   Impact of technology scaling on leakage power in nano-scale bulk CMOS digital standard cells [J].
Abbas, Zia ;
Olivieri, Mauro .
MICROELECTRONICS JOURNAL, 2014, 45 (02) :179-195
[2]   Efficient CMOL Gate Designs for Cryptography Applications [J].
Abid, Z. ;
Alma'aitah, A. ;
Barua, M. ;
Wang, W. .
IEEE TRANSACTIONS ON NANOTECHNOLOGY, 2009, 8 (03) :315-321
[3]  
Angizi Shaahin, 2017, 2017 IEEE Computer Society Annual Symposium on VLSI (ISVLSI). Proceedings, P45, DOI 10.1109/ISVLSI.2017.18
[4]   Energy Efficient In-Memory Computing Platform Based on 4-Terminal Spin Hall Effect-Driven Domain Wall Motion Devices [J].
Angizi, Shaahin ;
He, Zhezhi ;
Fan, Deliang .
PROCEEDINGS OF THE GREAT LAKES SYMPOSIUM ON VLSI 2017 (GLSVLSI' 17), 2017, :77-82
[5]  
Angizi S, 2017, INT SYM QUAL ELECT, P391, DOI 10.1109/ISQED.2017.7918347
[6]  
[Anonymous], COMPUTING MEMORY SPI
[7]  
[Anonymous], 2013, 2013 IEEE INT EL DEV
[8]  
[Anonymous], OP AMP NOISE RELATIO
[9]  
[Anonymous], P IEEE INT EL DEV M
[10]  
[Anonymous], P IEEE INT EL DEV M