.png){kind=icon}
返回
A Novel Convolution Computing Paradigm Based on NOR Flash Array With High Computing Speed and Energy Efficiency
.png){kind=icon}
OA
AI
DOI：10.1109/TCSI.2018.2885574.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Convolution is one of the key operations in signal processing and machine learning applications. In this paper, we propose a novel convolution computing paradigm based on the NOR Flash array (NFA) that is capable of executing the 2-D convolution computing in one clock cycle. In order to demonstrate the feasibility and efficiency of the proposed convolution computing paradigm, the feature extraction task on an image with the size of 20 x 20 is executed using the NFA structure. We also prove the NOR Flash-driven convolution computing is capable of processing the image with a larger size. This paper presents a new approach to realize convolution computing with high speed and energy efficiency for the signal processing and convolution neural network.
Keyword:
Convolution
Flash memories
in-memory computing
digital signal processing
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.2
论文数:
9.8K
被引数:
2.2W
机构
引用论文
.png){kind=icon}
分享收藏
查看更多内容