Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Wei-Chen Wei"'
Autor:
Wei-Chen Wei, Chuan-Jia Jhang, Yi-Ren Chen, Cheng-Xin Xue, Syuan-Hao Sie, Jye-Luen Lee, Hao-Wen Kuo, Chih-Cheng Lu, Meng-Fan Chang, Kea-Tiong Tang
Publikováno v:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 6, Iss 1, Pp 45-52 (2020)
Nonvolatile computing-in-memory (nvCIM) exhibits high potential for neuromorphic computing involving massive parallel computations and for achieving high energy efficiency. nvCIM is especially suitable for deep neural networks, which are required to
Externí odkaz:
https://doaj.org/article/150e34966e584bc78db48c13b4a4632c
Autor:
Wei-Chen Wei, 魏瑋辰
95
Recently, due to the rising and flourishing of the computer networks development. Application of smart card becomes even more and more universality and functionality. Hence, the remote user authentication scheme over an insecure channel gets
Recently, due to the rising and flourishing of the computer networks development. Application of smart card becomes even more and more universality and functionality. Hence, the remote user authentication scheme over an insecure channel gets
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/77060785923650343601
Autor:
Arnal, Bastien, Perez, Camilo, Wei, Chen-Wei, Xia, Jinjun, Lombardo, Michael, Pelivanov, Ivan, Matula, Thomas J., Pozzo, Lilo D., O’Donnell, Matthew
Publikováno v:
In Photoacoustics March 2015 3(1):3-10
Autor:
Arnal, Bastien, Wei, Chen-Wei, Perez, Camilo, Nguyen, Thu-Mai, Lombardo, Michael, Pelivanov, Ivan, Pozzo, Lilo D., O’Donnell, Matthew
Publikováno v:
In Photoacoustics March 2015 3(1):11-19
Publikováno v:
In Photoacoustics June 2014 2(2):63-74
Autor:
Ta-Wei Liu, Meng-Fan Chang, Yu-Der Chih, Je-Syu Liu, Chin-Yi Su, Ting-Wei Chang, Shih-Ying Wei, Tsung-Yuan Huang, Cheng-Xin Xue, Wei-Chen Wei, Je-Min Hung, Chun-Ying Lee, Tai-Hsing Wen, Mon-Shu Ho, Yi-Ren Chen, Yen-Kai Chen, Kea-Tiong Tang, Yun-Chen Lo, Jing-Hong Wang, Sheng-Po Huang, Chou Chung-Cheng, Shih-Hsih Teng, Chung-Chuan Lo, Chih-Cheng Hsieh, Ren-Shuo Liu, Hui-Yao Kao, Yen-Cheng Chiu, Tzu-Hsiang Hsu
Publikováno v:
Nature Electronics. 4:81-90
The development of small, energy-efficient artificial intelligence edge devices is limited in conventional computing architectures by the need to transfer data between the processor and memory. Non-volatile compute-in-memory (nvCIM) architectures hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3aab41f92e0ac34bcb2ba8315a23432a
https://doi.org/10.1038/s41928-020-00505-5
https://doi.org/10.1038/s41928-020-00505-5
Autor:
Yen-Cheng Chiu, Ren-Shuo Liu, Yung-Ning Tu, Jing-Hong Wang, Jia-Jing Chen, Meng-Fan Chang, Kea-Tiong Tang, Shyh-Shyuan Sheu, Chih-Cheng Hsieh, Ruhui Liu, Sih-Han Li, Wei-Hsing Huang, Jian-Wei Su, Chih-I Wu, Wei-Chen Wei, Je-Min Hung, Zhixiao Zhang, Xin Si
Publikováno v:
IEEE Journal of Solid-State Circuits. 55:2790-2801
Previous SRAM-based computing-in-memory (SRAM-CIM) macros suffer small read margins for high-precision operations, large cell array area overhead, and limited compatibility with many input and weight configurations. This work presents a 1-to-8-bit co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0471c2c0fb34f073a3effa2a1e717b1a
https://doi.org/10.1109/jssc.2020.3005754
https://doi.org/10.1109/jssc.2020.3005754
Autor:
Chih-Cheng Lu, Meng-Fan Chang, Cheng-Xin Xue, Wei-Chen Wei, Jye-Luen Lee, Hao-Wen Kuo, Syuan-Hao Sie, Kea-Tiong Tang, Chuan-Jia Jhang, Yi-Ren Chen
Publikováno v:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 6, Iss 1, Pp 45-52 (2020)
Nonvolatile computing-in-memory (nvCIM) exhibits high potential for neuromorphic computing involving massive parallel computations and for achieving high energy efficiency. nvCIM is especially suitable for deep neural networks, which are required to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0abd966434b714e8e65a93bf03ec68e4
https://doi.org/10.1109/jxcdc.2020.2992306
https://doi.org/10.1109/jxcdc.2020.2992306
Autor:
Tung-Cheng Chang, Jing-Hong Wang, Je-Syu Liu, Chrong Jung Lin, Wei-En Lin, Ya-Chin King, Cheng-Xin Xue, Tsung-Yuan Huang, Chun-Ying Lee, Ren-Shuo Liu, Meng-Fan Chang, Wei-Hao Chen, Kea-Tiong Tang, Hui-Yao Kao, Wei-Yu Lin, Yen-Cheng Chiu, Jiafang Li, Ting-Wei Chang, Chih-Cheng Hsieh, Wei-Chen Wei
Publikováno v:
IEEE Journal of Solid-State Circuits. 55:203-215
Computing-in-memory (CIM) based on embedded nonvolatile memory is a promising candidate for energy-efficient multiply-and-accumulate (MAC) operations in artificial intelligence (AI) edge devices. However, circuit design for NVM-based CIM (nvCIM) impo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c96f057734226fed9313c80462b4cb70
https://doi.org/10.1109/jssc.2019.2951363
https://doi.org/10.1109/jssc.2019.2951363
Autor:
Wei-Hsing Huang, Ren-Shuo Liu, Yung-Ning Tu, Shimeng Yu, Yen-Cheng Chiu, Meng-Fan Chang, Qiang Li, Xiaoyu Sun, Jia-Jing Chen, Jing-Hong Wang, Rui Liu, Chih-Cheng Hsieh, Kea-Tiong Tang, Wei-Chen Wei, Xin Si, Ssu-Yen Wu
Publikováno v:
IEEE Journal of Solid-State Circuits. 55:189-202
Computation-in-memory (CIM) is a promising candidate to improve the energy efficiency of multiply-and-accumulate (MAC) operations of artificial intelligence (AI) chips. This work presents an static random access memory (SRAM) CIM unit-macro using: 1)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de6d636f7ec83afda423834139c7f52c
https://doi.org/10.1109/jssc.2019.2952773
https://doi.org/10.1109/jssc.2019.2952773