CMOS可逆逻辑:基于概率器件模型和随机计算的双向运算

IF 2.3 Q3 NANOSCIENCE & NANOTECHNOLOGY
N. Onizawa, T. Hanyu
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引用次数: 3

摘要

最近,CMOS可逆逻辑被提出,它是基于概率器件模型的新计算范式之一。它是基于随机计算设计的,提供输入和输出之间的双向运算,并已应用于几个关键问题,如整数分解和机器学习(ML)。本文介绍了CMOS可逆逻辑从原理到应用的概述。首先,通过一个简单的设计实例说明了其原理,并介绍了自动设计工具的设计流程。其次,使用随机计算设计CMOS可逆逻辑的硬件,然后在现场可编程门阵列(FPGA)或专用集成电路(ASIC)上实现的两个应用中进行评估。最后,本文以未来的挑战结束。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CMOS Invertible Logic: Bidirectional operation based on the probabilistic device model and stochastic computing
Recently, CMOS invertible logic has been presented and is one of the new computing paradigms based on a probabilistic device model. It is designed based on stochastic computing that provides bidirectional operations between inputs and outputs and has been applied for several critical issues, such as integer factorization and machine learning (ML). This article presents an overview of CMOS invertible logic from principle to application. First, the principle is explained with a simple design example, and a design flow is introduced, as is an automatic design tool. Second, the hardware of CMOS invertible logic is designed using stochastic computing and then evaluated in two applications implemented on a field-programmable gate array (FPGA) or application-specific integrated circuits (ASICs). Finally, this article ends with future challenges.
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来源期刊
IEEE Nanotechnology Magazine
IEEE Nanotechnology Magazine NANOSCIENCE & NANOTECHNOLOGY-
CiteScore
2.90
自引率
6.20%
发文量
46
期刊介绍: IEEE Nanotechnology Magazine publishes peer-reviewed articles that present emerging trends and practices in industrial electronics product research and development, key insights, and tutorial surveys in the field of interest to the member societies of the IEEE Nanotechnology Council. IEEE Nanotechnology Magazine will be limited to the scope of the Nanotechnology Council, which supports the theory, design, and development of nanotechnology and its scientific, engineering, and industrial applications.
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