Optimizations for a Current-Controlled Memristor- Based Neuromorphic Synapse Design

IF 3.7 2区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Journal on Emerging and Selected Topics in Circuits and Systems Pub Date : 2023-09-05 DOI:10.1109/JETCAS.2023.3312163

Hritom Das;Rocco D. Febbo;Charles P. Rizzo;Nishith N. Chakraborty;James S. Plank;Garrett S. Rose

引用次数: 0

Abstract

The synapse is a key element of neuromorphic computing in terms of efficiency and accuracy. In this paper, an optimized current-controlled memristive synapse circuit is proposed. Our proposed synapse demonstrates reliability in the face of process variation and the inherent stochastic behavior of memristors. Up to an 82% energy optimization can be seen during the SET operation over prior work. In addition, the READ process shows up to 54% energy savings. Our current-controlled approach also provides more reliable programming over traditional programming methods. This design is demonstrated with a 4-bit memory precision configuration. Using a spiking neural network (SNN), a neuromorphic application analysis was performed with this precision configuration. Our optimized design showed up to a 82% improvement in control applications and a 2.7x improvement in classification applications compared with other design cases.

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优化基于电流控制 Memristor 的神经形态突触设计

就效率和精度而言，突触是神经形态计算的关键要素。本文提出了一种优化的电流控制忆阻器突触电路。面对工艺变化和忆阻器固有的随机行为，我们提出的突触表现出了可靠性。与之前的研究相比，我们在 SET 操作过程中实现了高达 82% 的能量优化。此外，READ 过程可节省高达 54% 的能源。与传统编程方法相比，我们的电流控制方法还能提供更可靠的编程。该设计使用 4 位内存精度配置进行了演示。利用尖峰神经网络（SNN），对这种精度配置进行了神经形态应用分析。与其他设计方案相比，我们的优化设计在控制应用方面提高了 82%，在分类应用方面提高了 2.7 倍。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Journal on Emerging and Selected Topics in Circuits and Systems ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

8.50

自引率

2.20%

发文量

期刊介绍： The IEEE Journal on Emerging and Selected Topics in Circuits and Systems is published quarterly and solicits, with particular emphasis on emerging areas, special issues on topics that cover the entire scope of the IEEE Circuits and Systems (CAS) Society, namely the theory, analysis, design, tools, and implementation of circuits and systems, spanning their theoretical foundations, applications, and architectures for signal and information processing.