唐光明  研究员  

研究方向:

所属部门:高通量计算机研究中心、处理器芯片重点实验室

导师类别:博导计算机系统结构

联系方式:tangguangming@ict.ac.cn

个人网页:

简       历:

唐光明在日本京都大学取得博士学位,于20169月加入计算技术研究所,带领团队聚焦于新原理处理器研究,相关研究工作已被IEEE国际器件与系统路线图(IRDS 2018、2020、2021、2022、2023、2024)收录。

202209今:中科院计算所,研究员 

201609 — 202209月:中科院计算所,副研究员 

201310 — 201609月:京都大学,情报学研究科,博士生(国家公派日本政府博生生奖学金

201210 — 201309月:京都大学,情报学研究科,研究生(国家公派日本政府博生生奖学金

201009 — 201306月:北京航空航天大学,电子信息工程学院,博士生

201003 — 201009月:等待入学(在导师实验室从事研究工作)

200709 — 200907月:北京航空航天大学,软件学院,硕士生

200209 — 201003月:贵州大学,计算机学院,助教、讲师

200107 — 200209月:贵州工业大学,计算机学院工作

199709 — 200107月:贵州工业大学,计算机学院,本科生

主要论著:

[1] Tang, Guang-Ming; Studies on Datapath Circuits for Superconductor Bit-Slice Microprocessors, Kyoto University Press, 2016.

[2] Tang, Guang-Ming*; Takata, Kensuke; Tanaka, Masamitsu; Fujimaki, Akira; Takagi, Kazuyoshi; Takagi, Naofumi; 4-bit Bit-Slice Arithmetic Logic Unit for 32-bit RSFQ Microprocessors, IEEE Transactions on Applied Superconductivity, 2016, 26(1).

[3] Tang, Guang-Ming*; Takagi, Kazuyoshi; Takagi, Naofumi; RSFQ 4-bit bit-slice integer multiplier, IEICE Transactions on Electronics, 2016, E99C (6): 697-702.

[4] Tang, Guang-Ming*; Takagi, Kazuyoshi; Takagi, Naofumi; 32×32-Bit 4-Bit Bit-Slice Integer Multiplier for RSFQ Microprocessors (Invited Paper), IEEE Transactions on Applied Superconductivity, 2017, 27(3).

[5] Tang, Guang-Ming*; Qu, Pei-Yao; Ye, Xiao-Chun; Fan, Dong-Rui; Sun, Ning-Hui; 32-Bit 4×4 Bit-Slice RSFQ Matrix Multiplier, IEEE Transactions on Applied Superconductivity, 2018, 28(7).

[6] Tang, Guang-Ming*; Qu, Pei-Yao; Ye, Xiao-Chun; Fan, Dong-Rui; Logic Design of a 16-bit Bit-Slice Arithmetic Logic Unit for 32-/64-bit RSFQ Microprocessors, IEEE Transactions on Applied Superconductivity, 2018, 28(4).

[7] Tang, Guang-Ming*; Qu, Pei-Yao; Zheng, Xiang-Yu; Yang, Jia-Hong; Ye, Xiao-Chun; Fan, Dong-Rui; Sun, Ning-Hui; Bit-Slice Butterfly Processing Units for 64-Point RSFQ FFT Processors, IEEE Transactions on Applied Superconductivity, 2020, 30(1).

[8] Yang, Jia-Hong; Tang, Guang-Ming*; Zheng, Xiang-Yu; Ye, Xiao-Chun; Fan, Dong-Rui; Zhang, Zhi-Min; Sun, Ning-Hui; Distributed Self-Clock: A Suitable Architecture for SFQ Circuits, IEEE Transactions on Applied Superconductivity, 2020, 30(7).

[9] Qu, Pei-Yao; Tang, Guang-Ming*; Yang, Jia-Hong; Ye, Xiao-Chun; Fan, Dong-Rui; Zhang, Zhi-Min; Sun, Ning-Hui; Design of an 8-bit Bit-Parallel RSFQ Microprocessor, IEEE Transactions on Applied Superconductivity, 2020, 30(7).

[10] Zhou, Yan; Tang, Guang-Ming*; Yang, Jia-Hong; Yu, Pei-Shi; Peng, Chang-Gen; Logic Design and Simulation of a 128-b AES Encryption Accelerator Based on Rapid Single-Flux-Quantum Circuits, IEEE Transactions on Applied Superconductivity, 2021, 31(6).  

[11] Qiu, Rui-di; Qu, Pei-yao; Zheng Xiang-yu; Tang, Guang-Ming*; Design of a finite impulse response filter for rapid single-flux-quantum signal processors based on stochastic computing (Journal Cover Paper), Superconductivity, Vol. 6, 2023.

[12] Liu, Zeshi; Chen, Shuo; Qu, Peiyao; Liu, Huanli; Niu, Minghui; Ying, Liliang; Ren, Jie; Tang, Guangming*; You, Haihang*; SUSHI: Ultra-High-Speed and Ultra-Low-Power Neuromorphic Chip Using Superconducting Single-Flux-Quantum Circuits, In Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), pp:614–627; Toronto, Canada; Oct. 2023.

[13] Yuan, Chenbo; Qu, Peiyao; Li, Lingyun; Liu, Huanli; Liang, Tianhang; Jiang, ZheLong; Chen, Gang*; Tang, Guangming*; Heterogeneous Gene Sequence Alignment System Based on 12-GHz Superconducting Chip; IEEE Transactions on Applied Superconductivity, 2024, 34(9).

[14] Qu, Pei-Yao; Liu, Huan-Li; Zheng, Xiang-Yu; Yang, Jia-Hong; Ying, Li-Liang; Ren, Jie; You, Hai-Hang*, Tang, Guangming*; An energy-efficient 32-bit bit-parallel superconducting SFQ specialized processor; Superconductivity, Vol. 10, 2024.

[15] Ren, Jing; Qu, Pei-Yao; Yang, Jia-Hong; Zheng, Xiang-Yu; Zhang, Hui; Ren, Jie;  Tang, Guang-Ming*; High performance rapid single-flux-quantum bit-slice arithmetic logic unit; Superconductivity, Vol. 11, 2024.

科研项目:

获奖及荣誉:

2023 TOP 100 Chips Achievement Award by International Open Benchmark Council