Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ssu-Yen Wu"'
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
Autor:
Yung-Ning Tu, William Shih, Jing-Hong Wang, Wei-Chiang Shih, Xin Si, Yajuan He, Yen-Chi Chou, Nan-Chun Lien, Yen-Lin Chung, Meng-Fan Chang, Qiang Li, Jian-Wei Su, Ta-Wei Liu, Ssu-Yen Wu, Pei-Jung Lu, Ren-Shuo Liu, Chih-Cheng Hsieh, Ruhui Liu, Chung-Chuan Lo, Kea-Tiong Tang, Wei-Hsing Huang
Publikováno v:
IEEE Journal of Solid-State Circuits. 56:2817-2831
This article presents a computing-in-memory (CIM) structure aimed at improving the energy efficiency of edge devices running multi-bit multiply-and-accumulate (MAC) operations. The proposed scheme includes a 6T SRAM-based CIM (SRAM-CIM) macro capable
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)
Autor:
Yun-Chen Lo, Yen-Chi Chou, Meng-Fan Chang, Qiang Li, Kea-Tiong Tang, Ruhui Liu, Wei-Chen Wei, Tzu-Hsiang Hsu, Yen-Kai Chen, Ssu-Yen Wu, Zhixiao Zhang, Xin Si, Wei-Chiang Shih, Yajuan He, Chung-Chuan Lo, Syuan-Hao Sie, Jing-Hong Wang, Chih-Cheng Hsieh, Ta-Wei Liu, Yung-Ning Tu, William Shih, Ren-Shuo Liu, Nan-Chun Lien, Jian-Wei Su, Wei-Hsing Huanq, Pei-Jung Lu, Tai-Hsing Wen
Publikováno v:
ISSCC
Advanced AI edge chips require multibit input (IN), weight (W), and output (OUT) for CNN multiply-and-accumulate (MAC) operations to achieve an inference accuracy that is sufficient for practical applications. Computing-in-memory (CIM) is an attracti
Autor:
Kuang-Tang Chang, Peng Chen, Cheng-Xin Xue, Chun-Ying Lee, Tung-Cheng Chang, Shih-Hsih Teng, Hsiao-Yu Huang, Ssu-Yen Wu, Meng-Fan Chang, Hui-Yao Kao, Yen-Cheng Chiu, Je-Min Hung
Publikováno v:
ISSCC
Many security-aware mobile devices, using the secure hash algorithm (SHA) or the advanced encryption standard (AES) for data encryption, require short read-access time (t AC ) and wide-IO from nonvolatile memory (NVM) for high-read bandwidth and SHA/
Autor:
Xi Chen, Shixuan Zheng, Win-San Khwa, Peng Ouyang, Ssu-Yen Wu, Yonggang Liu, Meng-Fan Chang, Leibo Liu, Ruiqi Guo, Shouyi Yin, Li Xiudong, Jia-Jing Chen, Shaojun Wei
Publikováno v:
VLSI Circuits
This work presents a 65nm CMOS speech recognition processor, named Thinker-IM, which employs 16 computing-in-memory (SRAM-CIM) macros for binarized recurrent neural network (RNN) computation. Its major contributions are: 1) A novel digital-CIM mixed
Publikováno v:
ICICS
Epilepsy is the most common psychological disorders in humans. Patients suffering from epilepsy usually experience behavioral symptoms, such as involuntary movement and rage reaction. Conventional monitoring with electroencephalogram and video is unp
Publikováno v:
BioCAS
Epilepsy is the most common psychological disorders in humans. Patients suffering from epilepsy usually experience behavioral symptoms, such as involuntary movement and rage reaction. Conventional monitoring with EEG and video is unpleasant for patie