Energy-Efficient MAC Operation Using Double Data Rate SOT-Based Magnetic RAM

In a von Neumann architecture, the processor and memory share the same bus for data transfer, which causes a significant performance bottleneck when accessing memory. In-memory computing overcomes this limitation but still faces challenges, particularly the large latency in performing computations within memory. To address this issue, a double data rate (DDR) architecture that leverages spin-orbit torque technology (SOT) has been integrated into the memory design, enabling simultaneous write and read operations at both clock levels. SOT-magnetic random-access memory (MRAM) based DDR technology presents a promising approach for developing high-density and low power consumption in non-volatile memory, making it a more efficient memory solution. Furthermore, the presented DDR-SOT-based MRAM has been used to design the multiply and accumulate computation (MAC). The performance metrics in terms of latency and power dissipation are also calculated. The proposed circuit consumes <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$7.9 \mu \mathrm{W}$</tex> of power with a latency of 90 ps, making it a suitable candidate for enhancing the performance of neural network applications.

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Publication Details

Published
2025-07-13
DOI
https://doi.org/10.1109/nano63165.2025.11113782
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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article

Energy-Efficient MAC Operation Using Double Data Rate SOT-Based Magnetic RAM

Sandeep Soni, Sourajeet Roy, Anubha Sehgal, Alok Kumar Shukla
Advanced Memory and Neural Computing
article

Energy-Efficient MAC Operation Using Double Data Rate SOT-Based Magnetic RAM

Sandeep Soni, Sourajeet Roy, Anubha Sehgal, Alok Kumar Shukla
article en

Abstract

In a von Neumann architecture, the processor and memory share the same bus for data transfer, which causes a significant performance bottleneck when accessing memory. In-memory computing overcomes this limitation but still faces challenges, particularly the large latency in performing computations within memory. To address this issue, a double data rate (DDR) architecture that leverages spin-orbit torque technology (SOT) has been integrated into the memory design, enabling simultaneous write and read operations at both clock levels. SOT-magnetic random-access memory (MRAM) based DDR technology presents a promising approach for developing high-density and low power consumption in non-volatile memory, making it a more efficient memory solution. Furthermore, the presented DDR-SOT-based MRAM has been used to design the multiply and accumulate computation (MAC). The performance metrics in terms of latency and power dissipation are also calculated. The proposed circuit consumes <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$7.9 \mu \mathrm{W}$</tex> of power with a latency of 90 ps, making it a suitable candidate for enhancing the performance of neural network applications.

Indian Institute of Technology Roorkee (IN)
Affordable and clean energy
Openalex Percentile: Top 81%
Advanced Memory and Neural Computing
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