基于纳米磁逻辑的组合子系统设计模型的开发

Neha Oraon, M. Rao
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引用次数: 0

摘要

磁逻辑(ML)被认为是当前CMOS技术的可行替代方案,该技术不断缩小尺寸以在芯片中容纳更多电路。在机器学习中,磁畴被认为是呈现逻辑电平,而不是基于CMOS的数字电路中使用的电荷。利用单畴磁点的自旋来表示逻辑电平,利用相邻磁点之间的磁耦合来实现计算输出。机器学习设计包括沿铁磁和反铁磁顺序排列点,以实现所需的数字输出。从点的形状、点之间的间距以及原始数字门的数量等方面对最佳尺寸进行了广泛的研究。在本文中,磁点被布置成基于进位纹波的全加法器电路。在开源微磁模拟器上设计了1位和2位全加法器电路,并利用瞬态能量分布提出了基于机器学习的高阶加法器子系统的足迹、延迟和能量模型。将所提出的基于ML的加法器电路与其他CMOS技术相关的加法器电路进行了比较。所提出的模型为设计基于机器学习的大型数字系统提供了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of design models for nanomagnetic logic based combinatorial subsystem
Magnetic logic (ML) is considered a feasible alternative to the current CMOS technology, which is constantly shrinking in size to accommodate more circuitry in a chip. In ML, the magnetic domains are considered to render logic levels instead of electric charge used in CMOS based digital circuits. The spins in single domain magnetic dots are used to represent logic levels and magnetic coupling between neighboring dots is employed to realize the computational output. The ML design involves arranging dots along ferromagnetic and antiferromagnetic ordering to achieve a desired digital output. The optimum dimensions with shape of the dots, spacing between the dots, and few primitive digital gates were extensively studied in the past. In this paper, magnetic dots were arranged to exhibit carry ripple based full adder circuits. One bit and two bit full adder circuit was designed in an open source micromagnetic simulator and transient energy profile is used to propose footprint, delay and energy models for ML based higher order adder subsystems. The proposed ML based adder circuit was compared with other CMOS technology related adder circuits. The proposed model offers insights to design a large ML based digital system.
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