一种新的基于NOR闪存阵列的高计算速度和高能效的卷积计算范式

2018 IEEE International Symposium on Circuits and Systems (ISCAS) Pub Date : 2018-05-27 DOI:10.1109/ISCAS.2018.8351030

Runze Han, P. Huang, Y. Xiang, C. Liu, Zhen Dong, Z. Su, Y. B. Liu, L. Liu, X. Liu, Jinfeng Kang

{"title":"一种新的基于NOR闪存阵列的高计算速度和高能效的卷积计算范式","authors":"Runze Han, P. Huang, Y. Xiang, C. Liu, Zhen Dong, Z. Su, Y. B. Liu, L. Liu, X. Liu, Jinfeng Kang","doi":"10.1109/ISCAS.2018.8351030","DOIUrl":null,"url":null,"abstract":"A novel convolution computing paradigm based on the NOR Flash Array is proposed. Significant improvements both in computing speed and energy consumption are achieved compared to CMOS-based logic computing paradigms. Regarding to the feature extraction task from a 256×256 image, the computing speed of 3.9×104 frame per second (fps) and the energy consumption of 0.057nJ/pixel are achieved using the proposed computing paradigm.","PeriodicalId":6569,"journal":{"name":"2018 IEEE International Symposium on Circuits and Systems (ISCAS)","volume":"68 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A Novel Convolution Computing Paradigm Based on NOR Flash Array with High Computing Speed and Energy Efficient\",\"authors\":\"Runze Han, P. Huang, Y. Xiang, C. Liu, Zhen Dong, Z. Su, Y. B. Liu, L. Liu, X. Liu, Jinfeng Kang\",\"doi\":\"10.1109/ISCAS.2018.8351030\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel convolution computing paradigm based on the NOR Flash Array is proposed. Significant improvements both in computing speed and energy consumption are achieved compared to CMOS-based logic computing paradigms. Regarding to the feature extraction task from a 256×256 image, the computing speed of 3.9×104 frame per second (fps) and the energy consumption of 0.057nJ/pixel are achieved using the proposed computing paradigm.\",\"PeriodicalId\":6569,\"journal\":{\"name\":\"2018 IEEE International Symposium on Circuits and Systems (ISCAS)\",\"volume\":\"68 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Symposium on Circuits and Systems (ISCAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCAS.2018.8351030\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Symposium on Circuits and Systems (ISCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCAS.2018.8351030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 7

摘要

提出了一种新的基于NOR闪存阵列的卷积计算范式。与基于cmos的逻辑计算范式相比，在计算速度和能耗方面都取得了显著的改进。对于256×256图像的特征提取任务，采用该计算范式实现了3.9×104帧/秒(fps)的计算速度和0.057nJ/像素的能量消耗。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

A Novel Convolution Computing Paradigm Based on NOR Flash Array with High Computing Speed and Energy Efficient

A novel convolution computing paradigm based on the NOR Flash Array is proposed. Significant improvements both in computing speed and energy consumption are achieved compared to CMOS-based logic computing paradigms. Regarding to the feature extraction task from a 256×256 image, the computing speed of 3.9×104 frame per second (fps) and the energy consumption of 0.057nJ/pixel are achieved using the proposed computing paradigm.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2018 IEEE International Symposium on Circuits and Systems (ISCAS)

自引率

0.00%

发文量