Spintronic Content Addressable Memory With Integrated Boolean Logic and Arithmetic Functions

To address growing data processing demands, traditional von Neumann architectures face increased power consumption and delay issues. In response, this paper presents a novel latch-based hybrid CMOS/MTJ content-addressable memory (TCAM) designed to perform Boolean logic, as well as full adder (FA) and full subtractor (FS) operations, within a computing-in-memory (CIM) architecture. The proposed cell efficiently compares 4-bit encoded data in TCAM mode while supporting 8-bit data processing in computing mode, improving area efficiency. Additionally, the reduced number of active paths between the power supply and ground during the read phase significantly lowers power consumption. Complemented by peripheral circuits, a scalable array architecture has been developed to demonstrate the system’s feasibility. Post-layout simulations using 40 nm technology in Cadence Virtuoso and HSPICE show that the proposed design reduces power consumption and PDP by up to 35% in TCAM mode and up to 65% in COMPUTING mode compared to previous solutions. Furthermore, Monte Carlo simulations confirm the design’s robust resilience to process variations, highlighting its potential for reliable, energy-efficient operation. Also, the suggested design in the presence of temperature variations is investigated, and PDP results for temperatures range 0° C to 100° C show design resilience. In addition, our results indicate that the proposed strategy significantly reduces power consumption in neural network applications compared to its counterparts.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3551411
Citations
3
Primary Topic
Network Packet Processing and Optimization
Type
article
Field-Weighted Citation Impact
6.81
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article

Spintronic Content Addressable Memory With Integrated Boolean Logic and Arithmetic Functions

Mohammad Hossein Moaiyeri, Sayed Masoud Sayedi, Zahra Mehdizadeh Taheri
3 citations
IEEE Access
Network Packet Processing and Optimization
6.81
article

Spintronic Content Addressable Memory With Integrated Boolean Logic and Arithmetic Functions

Mohammad Hossein Moaiyeri, Sayed Masoud Sayedi, Zahra Mehdizadeh Taheri
article en
3 citations

Abstract

To address growing data processing demands, traditional von Neumann architectures face increased power consumption and delay issues. In response, this paper presents a novel latch-based hybrid CMOS/MTJ content-addressable memory (TCAM) designed to perform Boolean logic, as well as full adder (FA) and full subtractor (FS) operations, within a computing-in-memory (CIM) architecture. The proposed cell efficiently compares 4-bit encoded data in TCAM mode while supporting 8-bit data processing in computing mode, improving area efficiency. Additionally, the reduced number of active paths between the power supply and ground during the read phase significantly lowers power consumption. Complemented by peripheral circuits, a scalable array architecture has been developed to demonstrate the system’s feasibility. Post-layout simulations using 40 nm technology in Cadence Virtuoso and HSPICE show that the proposed design reduces power consumption and PDP by up to 35% in TCAM mode and up to 65% in COMPUTING mode compared to previous solutions. Furthermore, Monte Carlo simulations confirm the design’s robust resilience to process variations, highlighting its potential for reliable, energy-efficient operation. Also, the suggested design in the presence of temperature variations is investigated, and PDP results for temperatures range 0° C to 100° C show design resilience. In addition, our results indicate that the proposed strategy significantly reduces power consumption in neural network applications compared to its counterparts.

IEEE AccessVol. 13
Isfahan University of Technology (IR), Shahid Beheshti University (IR)
Openalex Percentile: Top 4%
Network Packet Processing and Optimization
6.81
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Spintronic Content Addressable Memory With Integrated Boolean Logic and Arithmetic Functions — Mohammad Hossein Moaiyeri, Sayed Masoud Sayedi, et al. · IEEE Access (2025) | TGRS Research Map | TGRS