An improved STT-MRAM energy consumption simulation model

Abstract Spin-transfer torque magnetic random access memory (STT-MRAM) shows promising prospects for the next generation of embedded non-volatile memory. In this paper, an improved model for calculation of the power consumption of STT-MRAM is proposed and verified. In the proposed model, the unique asymmetry properties of magnetic tunnel junction (MTJ) devices during STT-MRAM read and write operations are taken into account. To more comprehensively calculate the energy consumption, the impact of temperature variation on the switching property of the MTJ device is considered. A comparison with NVSim on the power calculation is presented. The results indicate that the proposed model can provide energy consumption simulation results with higher accuracy. The results of the read/write delay and the leakage power can be simultaneously provided. An analysis of the results based on the proposed model is conducted. The proposed model shows potential applications for architectural design of power grids in STT-MRAM with large scale storage capacity.

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Publication Details

Journal
Semiconductor Science and Technology
Published
2025-02-20
DOI
https://doi.org/10.1088/1361-6641/adb882
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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article

An improved STT-MRAM energy consumption simulation model

Tian Qiang, Yanfeng Jiang, Yaogeng Liu
Semiconductor Science and Technology
Advanced Memory and Neural Computing
article

An improved STT-MRAM energy consumption simulation model

Tian Qiang, Yanfeng Jiang, Yaogeng Liu
article en

Abstract

Abstract Spin-transfer torque magnetic random access memory (STT-MRAM) shows promising prospects for the next generation of embedded non-volatile memory. In this paper, an improved model for calculation of the power consumption of STT-MRAM is proposed and verified. In the proposed model, the unique asymmetry properties of magnetic tunnel junction (MTJ) devices during STT-MRAM read and write operations are taken into account. To more comprehensively calculate the energy consumption, the impact of temperature variation on the switching property of the MTJ device is considered. A comparison with NVSim on the power calculation is presented. The results indicate that the proposed model can provide energy consumption simulation results with higher accuracy. The results of the read/write delay and the leakage power can be simultaneously provided. An analysis of the results based on the proposed model is conducted. The proposed model shows potential applications for architectural design of power grids in STT-MRAM with large scale storage capacity.

Semiconductor Science and TechnologyVol. 40(3)
Jiangnan University (CN)
Affordable and clean energy
Openalex Percentile: Top 98%
Advanced Memory and Neural Computing
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