4.8 Article

Scalable massively parallel computing using continuous-time data representation in nanoscale crossbar array

期刊

NATURE NANOTECHNOLOGY
卷 16, 期 10, 页码 1079-+

出版社

NATURE PORTFOLIO
DOI: 10.1038/s41565-021-00943-y

关键词

-

资金

  1. National Natural Science Foundation of China [62034004, 61625402, 61974176, 61921005]
  2. Strategic Priority Research Program of the Chinese Academy of Sciences [XDB44000000]
  3. National Key R&D Program of China [2019YFB2205400, 2019YFB2205402]
  4. Fundamental Research Funds for the Central Universities [020414380179, 020414380171]
  5. AIQ foundation

向作者/读者索取更多资源

The growth of intelligent devices in the Internet of Things has created a need for real-time processing of large volumes of analogue data. Utilizing continuous data representation and frequency multiplexing in nanoscale crossbar arrays enables the implementation of a scalable massively parallel computing scheme for direct processing of analogue information.
The growth of connected intelligent devices in the Internet of Things has created a pressing need for real-time processing and understanding of large volumes of analogue data. The difficulty in boosting the computing speed renders digital computing unable to meet the demand for processing analogue information that is intrinsically continuous in magnitude and time. By utilizing a continuous data representation in a nanoscale crossbar array, parallel computing can be implemented for the direct processing of analogue information in real time. Here, we propose a scalable massively parallel computing scheme by exploiting a continuous-time data representation and frequency multiplexing in a nanoscale crossbar array. This computing scheme enables the parallel reading of stored data and the one-shot operation of matrix-matrix multiplications in the crossbar array. Furthermore, we achieve the one-shot recognition of 16 letter images based on two physically interconnected crossbar arrays and demonstrate that the processing and modulation of analogue information can be simultaneously performed in a memristive crossbar array. Continuous-time data representation and frequency multiplexing enable the implementation of a scalable massively parallel computing scheme in a nanoscale crossbar array for applications in intelligent edge devices.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据