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author:

Lu, Yang (Lu, Yang.) [1] | Wang, Zhi Yuan (Wang, Zhi Yuan.) [2] | Yang, Ye Cheng (Yang, Ye Cheng.) [3] | Wang, Shao Hao (Wang, Shao Hao.) [4]

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EI

Abstract:

Magnetic random-access memory (MRAM)-based computing-in-memory (CIM) schemes can be divided into write-based CIM and read-based CIM. Compared with read-based CIM, the write-based CIM can perform more operations such as AND, OR, majority (MAJ) gate, and full adder (FA). However, write-based CIM schemes require a large number of memory cells and multiple processing cycles. In this paper, we proposed a compact write-based CIM scheme by using a one transistor one high-speed switch magnetic tunnel junction (IT-IHSS-MTJ) memory cell to implement NAND, NOR, XOR, and MAJ gates within two write cycles and one read cycle. Moreover, we also demonstrated that FA operation can also be performed using three 1 T-IHSS-MTJ cells within six cycles. According to the simulation results performed using the SMIC 40 nm CMOS process and the HSS-MTJ SPICE model, we have demonstrated that these logic functions can be achieved. When compared to the write-based CIM using SOT-MRAM, the proposed CIM requires fewer cells and shorter latency to achieve the same logic operations. © 2024 IEEE.

Keyword:

Adders Cells Computation theory Computer circuits Cytology Magnetic recording Memory architecture MRAM devices Semiconductor storage SPICE Tunnel junctions

Community:

  • [ 1 ] [Lu, Yang]Joint Institute of Microelectronics, Jinjiang Science and Education Park, Fuzhou University, FZU-Jinjiang, Jinjiang, Fujian, China
  • [ 2 ] [Wang, Zhi Yuan]Joint Institute of Microelectronics, Jinjiang Science and Education Park, Fuzhou University, FZU-Jinjiang, Jinjiang, Fujian, China
  • [ 3 ] [Yang, Ye Cheng]Joint Institute of Microelectronics, Jinjiang Science and Education Park, Fuzhou University, FZU-Jinjiang, Jinjiang, Fujian, China
  • [ 4 ] [Wang, Shao Hao]Joint Institute of Microelectronics, Jinjiang Science and Education Park, Fuzhou University, FZU-Jinjiang, Jinjiang, Fujian, China

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Year: 2024

Page: 666-670

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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