event agenda
Date: August 25th (Friday)
time |
theme |
10:00-10:05 |
Introduction Ma Kaisheng Assistant Professor, Institute of Interdisciplinary Information, Tsinghua University, member of Qingyuan Association |
| 10:05-10:50 | Homomorphic Encryption Acceleration Based on Commodity Hardware Zhang Mingzhe, associate researcher of the State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, member of Qingyuan Association |
10:50-11:20 |
Interaction |
11:20-11:50 |
host dialogue guest |
Guest profile: Zhang Mingzhe, associate researcher at the State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences. The main research directions include domain-specific accelerators, new non-volatile memories, hardware security, and homomorphic encryption acceleration. The GPU-based homomorphic encryption acceleration scheme TensorFHE and the FPGA-based homomorphic encryption acceleration scheme Poseidon have created similar platform homomorphic The highest performance record for encrypted computing. He has successively worked in the Institute of Software, the Institute of Computing Technology and the Institute of Information Engineering of the Chinese Academy of Sciences, participated in the research and development of a variety of general-purpose and special-purpose processors, and worked in computer architecture academics such as MICRO, HPCA, DAC, PACT, IEEE TC, and IEEE TCAD. He has published more than 30 papers in conferences and journals, and served as a reviewer for TPC Member/ERC of top conferences in ISCA, MICRO, HPCA and other fields, as well as TC, TCAD, TOS and other journals. Member of Qingyuan Association of Beijing Zhiyuan Research Institute, executive member of CCF Information Storage Technology Committee and Fault-Tolerant Computing Committee. Presided over the National Natural Science Foundation of China, the Chinese Academy of Sciences leading special sub-projects and other projects.
Moderator profile: Ma Kaisheng, assistant professor and doctoral supervisor at the Institute of Interdisciplinary Information, Tsinghua University. In 2018, he graduated with a Ph.D. from the Department of Computer Science and Engineering of Pennsylvania State University. The main research directions are: chiplet post-Moore era architecture, autonomous driving related algorithms and chips, etc. He has published more than 70 papers in top conferences in the fields of computer artificial intelligence, architecture, and chips, such as NeurIPS, ICLR, ICML, ICCV, ECCV, CVPR, ISCA, ASPLOS, MICRO, HPCA, DAC, and ISSCC. He has won the 2015 HPCA Best Paper Award, the 2018 EDAA Best Dissertation Award, the 2020 Springer Nature Chinese Researcher High Impact Award, and the 2022 CCF Integrated Circuit Early Career Award.
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