An Energy-Efficient Computing-in-Memory (CiM) Scheme Using Field-Free Spin-Orbit Torque (SOT) Magnetic RAMs

doi:10.1109/TETC.2023.3237541

	An Energy-Efficient Computing-in-Memory (CiM) Scheme Using Field-Free Spin-Orbit Torque (SOT) Magnetic RAMs
	Wu, Bi 1,2,3; Zhu, Haonan 1,2; Reis, Dayane 4; Wang, Zhaohao 5; Wang, Ying 6; Chen, Ke 1,2; Liu, Weiqiang 1,2; Lombardi, Fabrizio 7; Hu, Xiaobo Sharon 3
	2023-04-01
发表期刊	IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING
ISSN	2168-6750
卷号	11 期号:2 页码:331-342
摘要	The separation of memory and computing units in the von Neumann architecture leads to undesirable energy consumption due to data movement and insufficient memory bandwidth. Energy-efficient in-memory computing platforms have the potential to address such issues. Due to its non-volatility and advantageous features over CMOS (such as low power, near-zero leakage current and high integration density), spin-based devices have been advocated for in-memory computing. This paper proposes a field-free Spin Orbit Torque (FF-SOT) MRAM based computing-in-memory (CiM) scheme that realizes XNOR/XOR logic and a cascading adder. This novel FF-SOT-CiM design does not require expensive peripheral circuits for computation while using the same memory cell design as a SOT-MRAM. Furthermore, FF-SOT-CiM does not require additional write cycles to save the result of its computations in the memory. The design offers higher write speed and; lower operating energy compared to CiM schemes based on other technologies; it also alleviates the source degeneration effect by leveraging an advanced switching mechanism. Extensive simulation results show that the proposed FF-SOT-CiM achieves up to 3.1x (2.6x) latency (energy) reduction compared to SRAM-based CiM, with negligible hardware overhead when performing in-memory XOR. ADD operations; the proposed FF-SOT-CiM can be to 5.0X and 1.5X faster and 3.4X and 1.1X more energy efficient than existing STT-based and FeFET-based schemes, respectively.
关键词	Random access memory Magnetic tunneling Switches Torque Microprocessors Adders Simulation Computing-in-memory full adder magnetic random access memory spin orbit torque (SOT) XNOR/XOR
DOI	10.1109/TETC.2023.3237541
收录类别	SCI
语种	英语
资助项目	Natural Science Foundation of Jiangsu Province[BK20210286] ; National Natural Science Foundation of China[62201254] ; National Natural Science Foundation of China[62022041] ; Fundamental Research Funds for the Central Universities[NP2022103]
WOS研究方向	Computer Science ; Telecommunications
WOS类目	Computer Science, Information Systems ; Telecommunications
WOS记录号	WOS:001004277000006
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：7[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/21234
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Wu, Bi; Liu, Weiqiang
作者单位	1.Nanjing Univ Aeronaut & Astronaut, Coll Elect & Informat Engn, Nanjing 211106, Peoples R China 2.Minist Ind & Informat Technol, Key Lab Aerosp Integrated Circuits & Microsyst, Nanjing 211106, Peoples R China 3.Univ Notre Dame, Dept Comp Sci & Engn, Notre Dame, IN 46656 USA 4.Univ S Florida, Dept Comp Sci & Engn, Tampa, FL 33620 USA 5.Beihang Univ, Fert Beijing Res Inst, Beijing Adv Innovat Ctr Big Data & Brain Comp, Sch Integrated Circuit Sci & Engn, Beijing 100191, Peoples R China 6.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 7.Northeastern Univ, Dept Elect & Comp Engn, Boston, MA 02115 USA
推荐引用方式 GB/T 7714	Wu, Bi,Zhu, Haonan,Reis, Dayane,et al. An Energy-Efficient Computing-in-Memory (CiM) Scheme Using Field-Free Spin-Orbit Torque (SOT) Magnetic RAMs[J]. IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING,2023,11(2):331-342.
APA	Wu, Bi.,Zhu, Haonan.,Reis, Dayane.,Wang, Zhaohao.,Wang, Ying.,...&Hu, Xiaobo Sharon.(2023).An Energy-Efficient Computing-in-Memory (CiM) Scheme Using Field-Free Spin-Orbit Torque (SOT) Magnetic RAMs.IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING,11(2),331-342.
MLA	Wu, Bi,et al."An Energy-Efficient Computing-in-Memory (CiM) Scheme Using Field-Free Spin-Orbit Torque (SOT) Magnetic RAMs".IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING 11.2(2023):331-342.