Efficient Ternary Logic Circuits Optimized by Ternary Arithmetic Algorithms

IF 5.1 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Transactions on Emerging Topics in Computing Pub Date : 2023-10-19 DOI:10.1109/TETC.2023.3321050
Guangchao Zhao;Zhiwei Zeng;Xingli Wang;Abdelrahman G. Qoutb;Philippe Coquet;Eby G. Friedman;Beng Kang Tay;Mingqiang Huang
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Abstract

Multi-valued logic (MVL) circuits, especially the ternary logic circuits, have attracted great attention in recent years due to their higher information density than binary logic systems. However, the basic construction method for MVL circuit standard cells and the CMOS fabrication possibility/compatibility issues are still to be addressed. In this work, we propose various ternary arithmetic circuits (adders and multipliers) with embedded ternary arithmetic algorithms to improve the efficiency. First, ternary cycling gates are designed to optimize both the arithmetic algorithms and logic circuits of ternary adders. Second, optimized ternary Boolean truth table is used to simplify the circuit complexity. Third, high-speed ternary Wallace tree multipliers are implemented with task dividing policy. Significant improvements in propagation delay and power-delay-product (PDP) have been achieved as compared with previous works. In particular, the ternary full adder shows 11 aJ PDP at 0.5 GHz, which is the best result among all the reported works using the same simulation platform. And an average PDP improvement of 36.8% in the ternary multiplier is also achieved. Furthermore, the proposed methods have been successfully explored using standard CMOS 180nm silicon devices, indicating its great potential for the practical application of ternary computing in the near future.
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通过三元算术算法优化的高效三元逻辑电路
近年来,多值逻辑(MVL)电路,尤其是三元逻辑电路,因其信息密度高于二元逻辑系统而备受关注。然而,MVL 电路标准单元的基本构造方法和 CMOS 制造的可能性/兼容性问题仍有待解决。在这项工作中,我们提出了各种具有嵌入式三元运算算法的三元运算电路(加法器和乘法器),以提高效率。首先,设计了三元循环门,以优化三元加法器的算术算法和逻辑电路。其次,使用优化的三元布尔真值表来简化电路复杂度。第三,利用任务划分策略实现了高速三元华莱士树乘法器。与之前的研究相比,传播延迟和功率-延迟-乘积(PDP)有了显著改善。其中,三元全加法器在 0.5 GHz 时的功率延迟积(PDP)为 11 aJ,这是在使用相同仿真平台的所有报告作品中取得的最佳结果。三元乘法器的平均 PDP 也提高了 36.8%。此外,利用标准 CMOS 180nm 硅器件成功探索了所提出的方法,这表明在不久的将来,它在三元计算的实际应用中将大有可为。
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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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Table of Contents Front Cover IEEE Transactions on Emerging Topics in Computing Information for Authors Special Section on Emerging Social Computing DALTON - Deep Local Learning in SNNs via local Weights and Surrogate-Derivative Transfer
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