An Efficient Racetrack Memory-Based Processing-In-Memory Architecture for Convolutional Neural Networks | |
Liu, Bicheng; Gu, Shouzhen; Chen, Mingsong; Kang, Wang; Hu, Jingtong; Zhuge, Qingfeng; Sha, Edwin H-M | |
2017 | |
会议名称 | 2017 15TH IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL AND DISTRIBUTED PROCESSING WITH APPLICATIONS AND 2017 16TH IEEE INTERNATIONAL CONFERENCE ON UBIQUITOUS COMPUTING AND COMMUNICATIONS (ISPA/IUCC 2017) |
会议日期 | 2017-01-01 |
关键词 | Bandwidth Complex networks Convolution Domain walls Energy efficiency Magnetic storage Network architecture Neural networks Ubiquitous computing Computing techniques Convolutional neural network Full adders Memory bandwidths Memory wall Processing in memory Skyrmion State of the art Memory architecture |
页码 | 383-390 |
收录类别 | CPCI-S |
URL标识 | 查看原文 |
WOS记录号 | WOS:000464435000051 |
内容类型 | 会议论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/5943615 |
专题 | 北京航空航天大学 |
推荐引用方式 GB/T 7714 | Liu, Bicheng,Gu, Shouzhen,Chen, Mingsong,et al. An Efficient Racetrack Memory-Based Processing-In-Memory Architecture for Convolutional Neural Networks[C]. 见:2017 15TH IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL AND DISTRIBUTED PROCESSING WITH APPLICATIONS AND 2017 16TH IEEE INTERNATIONAL CONFERENCE ON UBIQUITOUS COMPUTING AND COMMUNICATIONS (ISPA/IUCC 2017). 2017-01-01. |
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