Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Cheng-Xin Xue"'
Autor:
Akshay Krishna Ramanathan, Srivatsa Srinivasa Rangachar, Hariram Thirucherai Govindarajan, Je-Min Hung, Chun-Ying Lee, Cheng-Xin Xue, Sheng-Po Huang, Fu-Kuo Hsueh, Chang-Hong Shen, Jia-Min Shieh, Wen-Kuan Yeh, Mon-Shu Ho, Jack Sampson, Meng-Fan Chang, Vijaykrishnan Narayanan
Publikováno v:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 7, Iss 1, Pp 79-87 (2021)
The compare operation is widely used in many applications, from fundamental sorting to primitive operations in the database and AI systems. We present SRAM-based 3-D-CAM circuit designs using a monolithic 3-D (M3D) integration process for realizing b
Externí odkaz:
https://doaj.org/article/07f164221d6348c2a5e1b6f7338a62ae
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:
Peng Chen, Cheng-Xin Xue, Yier Jin, Yi-Chun Shih, Chieh-Pu Lo, Chun-Ying Lee, Je-Min Hung, Hsiao-Yu Huang, Ssu-Yen Wu, Meng-Fan Chang, Yu-Der Chih, Shih-Hsih Teng, Tsung-Yung Jonathan Chang, Kuang-Tang Chang, Hui-Yao Kao, Yen-Cheng Chiu, Tung-Cheng Chang
Publikováno v:
IEEE Journal of Solid-State Circuits. 57:1936-1949
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d1f28e76a6523b9097699109c8cda7a
https://doi.org/10.1109/jssc.2021.3112182
https://doi.org/10.1109/jssc.2021.3112182
Autor:
Sung-En Hsieh, Chun-Hao Wei, Cheng-Xin Xue, Hung-Wei Lin, Wei-Hsuan Tu, En-Jui Chang, Kai-Taing Yang, Po-Heng Chen, Wei-Nan Liao, Li Lian Low, Chia-Da Lee, Allen-CL Lu, Jenwei Liang, Chih-Chung Cheng, Tzung-Hung Kang
Publikováno v:
2023 IEEE International Solid- State Circuits Conference (ISSCC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5108eb87c233050a135d0c1f6ae2aa57
https://doi.org/10.1109/isscc42615.2023.10067335
https://doi.org/10.1109/isscc42615.2023.10067335
Autor:
Je-Min Hung, Cheng-Xin Xue, Hui-Yao Kao, Yen-Hsiang Huang, Fu-Chun Chang, Sheng-Po Huang, Ta-Wei Liu, Chuan-Jia Jhang, Chin-I Su, Win-San Khwa, Chung-Chuan Lo, Ren-Shuo Liu, Chih-Cheng Hsieh, Kea-Tiong Tang, Mon-Shu Ho, Chung-Cheng Chou, Yu-Der Chih, Tsung-Yung Jonathan Chang, Meng-Fan Chang
Publikováno v:
Nature Electronics. 4:921-930
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52227e09234d412d36985e0433026723
https://doi.org/10.1038/s41928-021-00676-9
https://doi.org/10.1038/s41928-021-00676-9
Autor:
Wen-Kuan Yeh, Je-Min Hung, Cheng-Xin Xue, Hariram Thirucherai Govindarajan, Akshay Krishna Ramanathan, Srivatsa Srinivasa Rangachar, Sheng-Po Huang, Chun-Ying Lee, Meng-Fan Chang, Chang-Hong Shen, Fu-Kuo Hsueh, Jia-Min Shieh, Vijaykrishnan Narayanan, John Sampson, Mon-Shu Ho
Publikováno v:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 7, Iss 1, Pp 79-87 (2021)
The compare operation is widely used in many applications, from fundamental sorting to primitive operations in the database and AI systems. We present SRAM-based 3-D-CAM circuit designs using a monolithic 3-D (M3D) integration process for realizing b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acc01b6abe741a0177fe8ecffadbdbef
https://doi.org/10.1109/jxcdc.2021.3087745
https://doi.org/10.1109/jxcdc.2021.3087745
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 68:1773-1786
When applied to artificial intelligence edge devices, the conventionally von Neumann computing architecture imposes numerous challenges (e.g., improving the energy efficiency), due to the memory-wall bottleneck involving the frequent movement of data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abc9364389996ad80a7b44b4388253fb
https://doi.org/10.1109/tcsi.2021.3064189
https://doi.org/10.1109/tcsi.2021.3064189
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:
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