Area Efficient Skyrmion Logic Based Approximate Adder Architecture Design Methodology

IF 5.4 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Transactions on Emerging Topics in Computing Pub Date : 2024-08-02 DOI:10.1109/TETC.2024.3434723
Santhosh Sivasubramani;Bibekananda Paikaray;Mahathi Kuchibhotla;Arabinda Haldar;Chandrasekhar Murapaka;Amit Acharyya
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Abstract

In this study, the first of its kind skyrmion logic based area efficient approximate nanomagnetic (APN) adder architecture design methodology is introduced along with its implementation using theoretical modelling and micromagnetic simulations. We propose here for the first time, skyrmion based APN adder architecture design using only one majority gate reconfigured runtime (RR) using single layout. This low complex device structure is modelled using three inputs with the bilayer ferromagnet/heavy metal utilizing the exploitation of output reversal mechanism using magnetic tunnel junctions (MTJs) for read and write of skyrmions. The implementation is performed using this same device where current is passed through a metallic gate for control mechanism to achieve various logic functionalities. We also introduce here the boolean optimzation followed by mapping logic for the demonstration of skyrmion RRAPN adder alongside the majority logic gate. This proposed RRAPN adder architecture design possess low complexity in terms of utilization of resources aiding towards the reduction of number of majority logic gates ($ \sim$$60 \%$ device footprint reduction) and evaluated against standard error metrics. RRAPN adder architecture design proposed has its advantages with miniaturisation aided by enhanced lithographic process nodes, creating a new potential for nanomagnetic logic devices.
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基于面积效率 Skyrmion 逻辑的近似加法器架构设计方法
在本研究中,介绍了首个基于skyrmion逻辑的区域高效近似纳米磁(APN)加法器结构设计方法,并使用理论建模和微磁仿真实现了该方法。本文首次提出了基于skyrmion的APN加法架构设计,该架构仅使用单一布局的多数门重新配置运行时(RR)。这种低复杂的器件结构使用三输入层铁磁体/重金属进行建模,利用利用磁隧道结(MTJs)进行skyrmions读写的输出反转机制。该实现使用相同的器件,其中电流通过用于控制机制的金属门来实现各种逻辑功能。我们还在这里介绍了布尔优化,然后是映射逻辑,用于演示skyrmion RRAPN加法器以及多数逻辑门。提出的RRAPN加法器架构设计在资源利用率方面具有较低的复杂性,有助于减少多数逻辑门的数量($ \sim$$60 \%$设备占用减少),并根据标准误差指标进行评估。提出的RRAPN加法器结构设计具有微型化的优点,通过增强光刻工艺节点,为纳米磁逻辑器件创造了新的潜力。
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来源期刊
IEEE Transactions on Emerging Topics in Computing
IEEE Transactions on Emerging Topics in Computing Computer Science-Computer Science (miscellaneous)
CiteScore
12.10
自引率
5.10%
发文量
113
期刊介绍: IEEE Transactions on Emerging Topics in Computing publishes papers on emerging aspects of computer science, computing technology, and computing applications not currently covered by other IEEE Computer Society Transactions. Some examples of emerging topics in computing include: IT for Green, Synthetic and organic computing structures and systems, Advanced analytics, Social/occupational computing, Location-based/client computer systems, Morphic computer design, Electronic game systems, & Health-care IT.
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Front Cover Table of Contents IEEE Transactions on Emerging Topics in Computing Publication Information Multi-View Partial Multi-Label Learning via Class Activation Specific Features Collaborative Learning HIFLA: Hilbert-Inspired Federated Learning via Action Principles
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