Zobrazeno 1 - 10
of 121
pro vyhledávání: '"YOUGUANG ZHANG"'
Autor:
Luis Sanchez-Tejerina, Giovanni Finocchio, Youguang Zhang, Mario Carpentieri, Weisheng Zhao, Yue Zhang, Pedram Khalili Amiri, Xueqiang Feng, Zhizhong Zhang, Albert Fert, Kun Zhang, Zilu Wang, Lei Chen, Yong Xu, Zhenyi Zheng, Jiacheng Shi, Bin Hong, Victor Lopez-Dominguez
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
Nature Communications
Nature Communications
Current-induced spin-orbit torques (SOTs) are of interest for fast and energy-efficient manipulation of magnetic order in spintronic devices. To be deterministic, however, switching of perpendicularly magnetized materials by SOT requires a mechanism
Autor:
Youguang Zhang, Yining Bai, Guanda Wang, Kun Zhang, Lei Chen, Georgios Ch. Sirakoulis, Yue Zhang, Zhenyi Zheng, Chenyu Lian, Jinkai Wang, Zhizhong Zhang
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 68:1193-1205
The data transfer bottleneck in Von Neumann architecture owing to the separation between processor and memory hinders the development of high-performance computing. The computing in memory (CIM) concept is widely considered as a promising solution fo
Autor:
Youguang Zhang, Ying Wang, Chao Wang, Deming Zhang, Bi Wu, Dijun Liu, Zhaohao Wang, Xiaobo Sharon Hu
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 67:4660-4669
Continued scaling of Complementary Metal Oxide Semiconductor (CMOS) integrated circuit technology is slowing down due to physical limitations, while the static power of CMOS based memory is increasing as the transistors shrink. As an alternative memo
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 17:923-927
This letter preliminarily assesses the accuracy of ocean wind products from the Ku-band scatterometer (HSCAT) onboard the recently launched Chinese satellite HY-2B. The wind vectors derived from HSCAT during the period from November 15, 2018 to April
Publikováno v:
Marine Geodesy. 43:396-413
In the present study, the qualities of the HY-2B along-track significant wave heights (SWH) are assessed, including precision and accuracy. A quality evaluation based on 1 Hz standard deviations is...
Autor:
Shaohua Yan, Zhenyi Zheng, Qunwen Leng, Kun Zhang, Yue Zhang, Guanda Wang, Zhizhong Zhang, Jiang Nan, Youguang Zhang, Weisheng Zhao
Publikováno v:
IEEE Access, Vol 8, Pp 87584-87591 (2020)
Magnetoresistance (MR) effects have been intensively investigated and widely recognized as an effective path for realizing information sensing, storage, and processing. In particular, giant MR (GMR) effect discovered in ferromagnetic/nonmagnetic mult
Autor:
Ying Wang, Pengcheng Dai, Weisheng Zhao, Youguang Zhang, Chao Wang, Jianlei Yang, Yuanqing Cheng, Bi Wu, Dijun Liu, Zhaohao Wang, Xiaobo Sharon Hu
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 67:108-120
High capacity last-level caches (LLCs) are being used to help alleviate the growing speed gap between the processor and main memory. However, traditional CMOS based memory technologies (SRAM, DRAM, et al.) for such LLCs consume high static power. Non
Publikováno v:
IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 27:2668-2679
Convolution neural networks (CNNs) have demonstrated superior capability in computer vision, speech recognition, autonomous driving, and so forth, which are opening up an artificial intelligence (AI) era. However, conventional CNNs require significan
Autor:
Xing Chen, Xichao Zhang, Wang Kang, Weisheng Zhao, Daoqian Zhu, Zhaohao Wang, Youguang Zhang, Yan Zhou, Bi Wu
Publikováno v:
ACM Journal on Emerging Technologies in Computing Systems. 16:1-17
Racetrack memory (RM), a new storage scheme in which information flows along a nanotrack, has been considered as a potential candidate for future high-density storage device instead of hard disk drive (HDD). The first RM technology, which was propose
Publikováno v:
IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 27:2046-2059
Emerging nonvolatile memories (NVMs), including resistive RAM (RRAM), phase-change memory (PCM), and magnetic RAM (MRAM), have opened up new pathways for Computing-In-Memory (CIM). Those NVM technologies can achieve energy-efficient computational ope