高鸣宇 - 清华大学 - 交叉信息研究院

个人简介

Mingyu Gao is a tenure-track assistant professor of computer science in the Institute for Interdisciplinary Information Sciences (IIIS) at Tsinghua University in Beijing, China. He leads the Innovative Data-centric Efficient Architecture Lab (IDEAL). His research interests lie in the fields of computer architecture and systems, including efficient memory architectures, scalable data processing, and hardware system security, with a special emphasis on data-intensive applications. He has published in top-tier computer architecture conferences including ISCA, ASPLOS, HPCA, and PACT, and won the paper award of IEEE Micro 2016 Top Picks in Computer Architecture. Mingyu received his PhD in Electrical Engineering at Stanford University in June, 2018. He also received a Master of Science degree in Electrical Engineering at Stanford University in 2014, and a Bachelor of Science degree in Microelectronics at Tsinghua University in China in 2012.

研究领域

计算机系统与体系结构，人工智能和大数据计算系统、新型存储架构、硬件系统安全

近期论文

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Conference Papers Haohui Mai, Jiacheng Zhao, Hongren Zheng, Yiyang Zhao, Zibin Liu, Mingyu Gao, Cong Wang, Huimin Cui, Xiaobing Feng, and Christos Kozyrakis, "Honeycomb: Secure and Efficient GPU Executions via Static Validation," in Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation (OSDI), pp. 155-172, Boston, MA, USA, Jul 2023. Boyu Tian, Qihang Chen, and Mingyu Gao, "ABNDP: Co-optimizing Data Access and Load Balance in Near-Data Processing," in Proceedings of the 28th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Volume 3, pp. 3-17, Vancouver, Canada, Mar 2023. Weiliang Ma, Qian Xiong, Xuanhua Shi, Xiaosong Ma, Hai Jin, Haozhao Kuang, Mingyu Gao, Ye Zhang, Haichen Shen, and Weifang Hu, "GZKP: A GPU Accelerated Zero-Knowledge Proof System," in Proceedings of the 28th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Volume 2, pp. 340-353, Vancouver, Canada, Mar 2023. Zhiyao Li, Jiaxiang Li, Taijie Chen, Dimin Niu, Hongzhong Zheng, Yuan Xie, and Mingyu Gao, "Spada: Accelerating Sparse Matrix Multiplication with Adaptive Dataflow," in Proceedings of the 28th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Volume 2, pp. 747-761, Vancouver, Canada, Mar 2023. Yiwei Li, and Mingyu Gao, "Baryon: Efficient Hybrid Memory Management with Compression and Sub-Blocking," in Proceedings of the 29th Symposium on High Performance Computer Architecture (HPCA), pp. 137-151, Montreal, Canada, Feb 2023. Xing Zhou, Zhilei Xu, Cong Wang, and Mingyu Gao, "PPMLAC: High Performance Chipset Architecture for Secure Multi-Party Computation," in Proceedings of the 49th International Symposium on Computer Architecture (ISCA), pp. 87-101, New York, NY, USA, Jun 2022. Qihang Chen, Boyu Tian, and Mingyu Gao, "FINGERS: Exploiting Fine-Grained Parallelism in Graph Mining Accelerators," in Proceedings of the 27th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), pp. 43-55, Lausanne, Switzerland, Feb 2022. Mark Zhao, Mingyu Gao, and Christos Kozyrakis, "ShEF: Shielded Enclaves for Cloud FPGAs," in Proceedings of the 27th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), pp. 1070-1085, Lausanne, Switzerland, Feb 2022. Haojie Wang, Jidong Zhai, Mingyu Gao, Zixuan Ma, Shizhi Tang, Liyan Zheng, Yuanzhi Li, Kaiyuan Rong, Yuanyong Chen, and Zhihao Jia, "PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections," in Proceedings of the 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI), pp. 37-54, Virtual, Jul 2021. Ye Zhang, Shuo Wang, Xian Zhang, Jiangbin Dong, Xingzhong Mao, Fan Long, Cong Wang, Dong Zhou, Mingyu Gao, and Guangyu Sun, "PipeZK: Accelerating Zero-Knowledge Proof with a Pipelined Architecture," in Proceedings of the 48th International Symposium on Computer Architecture (ISCA), pp. 416-428, Virtual, Jun 2021. Zhihao Jia, Sina Lin, Mingyu Gao, Matei Zaharia, and Alex Aiken, "Improving the Accuracy, Scalability, and Performance of Graph Neural Networks with Roc," in Proceedings of the 3rd Conference on Machine Learning and Systems (MLSys), pp. 187-198, Austin, TX, USA, Mar 2020. Xuan Yang, Mingyu Gao, Qiaoyi Liu, Jeff Setter, Jing Pu, Ankita Nayak, Steven Bell, Kaidi Cao, Heonjae Ha, Priyanka Raina, Christos Kozyrakis, and Mark Horowitz, "Interstellar: Using Halide’s Scheduling Language to Analyze DNN Accelerators," in Proceedings of the 25th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), pp. 369-383, Lausanne, Switzerland, Mar 2020. Mingyu Gao, Xuan Yang, Jing Pu, Mark Horowitz, and Christos Kozyrakis, "TANGRAM: Optimized Coarse-Grained Dataflow for Scalable NN Accelerators," in Proceedings of the 24th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), pp. 807-820, Providence, RI, USA, Apr 2019. Zhihao Jia, James Thomas, Todd Warszawski, Mingyu Gao, Matei Zaharia, and Alex Aiken, "Optimizing DNN Computation with Relaxed Graph Substitutions," in Proceedings of the 2nd Conference on Machine Learning and Systems (MLSys), pp. 27-39, Palo Alto, CA, USA, Apr 2019. Mingxing Zhang, Youwei Zhuo, Chao Wang, Mingyu Gao, Yongwei Wu, Kang Chen, Christos Kozyrakis, and Xuehai Qian, "GraphP: Reducing Communication of PIM-based Graph Processing with Efficient Data Partition," in Proceedings of the 24th Symposium on High Performance Computer Architecture (HPCA), pp. 544-557, Vienna, Austria, Feb 2018. William Hwang, Mohamed M. Sabry Aly, Yash H. Malviya, Mingyu Gao, Tony F. Wu, Christos Kozyrakis, H.-S. Philip Wong, and Subhasish Mitra, "3D Nanosystems Enable Embedded Abundant-Data Computing," in Proceedings of the 12th International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), pp. 1-2, Seoul, South Korea, Oct 2017. (invited) Mingyu Gao, Jing Pu, Xuan Yang, Mark Horowitz, and Christos Kozyrakis, "TETRIS: Scalable and Efficient Neural Network Acceleration with 3D Memory," in Proceedings of the 22nd International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), pp. 751-764, Xi'an, China, Apr 2017. Mingyu Gao, Christina Delimitrou, Dimin Niu, Krishna T. Malladi, Hongzhong Zheng, Bob Brennan, and Christos Kozyrakis, "DRAF: A Low-Power DRAM-Based Reconfigurable Acceleration Fabric," in Proceedings of the 43rd International Symposium on Computer Architecture (ISCA), pp. 506-518, Seoul, South Korea, Jun 2016. Selected in IEEE Micro 2016 Top Picks Special Issue Mingyu Gao, and Christos Kozyrakis, "HRL: Efficient and Flexible Reconfigurable Logic for Near-Data Processing," in Proceedings of the 22nd Symposium on High Performance Computer Architecture (HPCA), pp. 126-137, Barcelona, Spain, Mar 2016. Mingyu Gao, Grant Ayers, and Christos Kozyrakis, "Practical Near-Data Processing for In-memory Analytics Frameworks," in Proceedings of the 24th International Conference on Parallel Architectures and Compilation Techniques (PACT), pp. 113-124, San Francisco, CA, USA, Oct 2015. Journal Papers Ke Wang, Guanqun Yang, Yiwei Li, Huanchen Zhang, and Mingyu Gao, "When Tree Meets Hash: Reducing Random Reads for Index Structures on Persistent Memories," in Proceedings of the ACM on Management of Data (SIGMOD), vol. 1, no. 1, pp. 105:1-105:26, May 2023. Xiang Li, Nuozhou Sun, Yunqian Luo, and Mingyu Gao, "SODA: A Set of Fast Oblivious Algorithms in Distributed Secure Data Analytics," in Proceedings of the VLDB Endowment (VLDB), vol. 16, no. 7, pp. 1671-1684, 2023. Xiang Li, Fabing Li, and Mingyu Gao, "Flare: A Fast, Secure, and Memory-Efficient Distributed Analytics Framework," in Proceedings of the VLDB Endowment (VLDB), vol. 16, no. 6, pp. 1439-1452, 2023. Mingyu Gao, Christina Delimitrou, Dimin Niu, Krishna T. Malladi, Hongzhong Zheng, Bob Brennan, and Christos Kozyrakis, "DRAF: A Low-Power DRAM-Based Reconfigurable Acceleration Fabric," in IEEE Micro, vol. 37, no. 3, pp. 70-78, 2017. Mohamed M. Sabry Aly, Mingyu Gao, Gage Hills, Chi-Shuen Lee, Greg Pitner, Max M. Shulaker, Tony F. Wu, Mehdi Asheghi, Jeff Bokor, Franz Franchetti, Kenneth E. Goodson, Christos Kozyrakis, Igor Markov, Kunle Olukotun, Larry Pileggi, Eric Pop, Jan Rabaey, Christopher Re, H.-S. Philip Wong, and Subhasish Mitra, "Energy-Efficient Abundant-Data Computing: The N3XT 1,000x," in Computer, vol. 48, no. 12, pp. 24-33, 2015. Workshop Papers, Preprints, Patents, and Others Zhiyao Li, and Mingyu Gao, "KAPLA: Pragmatic Representation and Fast Solving of Scalable NN Accelerator Dataflow," arXiv preprint arXiv:2306.15676, Jun 2023. Chenggang Zhao, Genghan Zhang, and Mingyu Gao, "Canvas: End-to-End Kernel Architecture Search in Neural Networks," arXiv preprint arXiv:2304.07741, Apr 2023. Jiechen Zhao, Natalie Enright Jerger, and Mingyu Gao, "What Can Chiplets Bring to Multi-Tenant Clouds?," Cloud@MICRO Workshop in conjunction with MICRO, Oct 2021. Mingyu Gao, Hongzhong Zheng, and Krishna T. Malladi, "DRAM-Based Reconfigurable Logic," US Patent 9,954,533, Apr 2018. Mingyu Gao, Hongzhong Zheng, Krishna T. Malladi, and Robert Brennan, "Reconfigurable Logic Architecture," US Patent 9,577,644, Feb 2017. Mingyu Gao, Hongzhong Zheng, and Krishna T. Malladi, "Space-Multiplexing DRAM-Based Reconfigurable Logic," US Patent 9,503,095, Nov 2016.