Shanghai Qi Zhi Institute PI, Assistant Professor at IIIS, Tsinghua.
Ph.D. and M.S. in Electrical Engineering from Stanford University, and B.S. in Micro-Nano Electronics from Tsinghua University. Research interests include computer architecture and systems, with a particular focus on new storage architectures, specialized computing systems, and hardware system security for data-intensive applications such as artificial intelligence and big data analysis. Has published multiple papers in top international conferences (ISCA, ASPLOS, HPCA, PACT, etc.) and has been granted three U.S. patents.
Memory & Storage Systems
New memory architectures including near-data processing, hybrid memories, and tiered memory hierarchies
Hardware Security
Hardware support for privacy-preserving computing, e.g., cryptographic accelerators and processor trusted execution environments
Domain-Specific Acceleration
Domain-specific accelerators for artificial intelligence, graph processing, and data analytics
7. Cheng Wang, Mingyu Gao, SAM: A Scalable Accelerator for Number Theoretic Transform Using Multi-Dimensional Decomposition, ICCAD, 2023 查看PDF
6. Ke Wang, Guanqun Yang, Yiwei Li, Huanchen Zhang, Mingyu Gao, When Tree Meets Hash: Reducing Random Reads for Index Structures on Persistent Memories, SIGMOD, 2023 查看PDF
5.Yiwei Li, Mingyu Gao, Baryon: Efficient Hybrid Memory Management with Compression and Sub-Blocking, HPCA, 2023 查看PDF
4. Boyu Tian, Qihang Chen, Mingyu Gao, ABNDP: Co-optimizing Data Access and Load Balance in Near-Data Processing, ASPLOS, 2023 查看PDF
3. Zhiyao Li, Jiaxiang Li, Taijie Chen, Dimin Niu, Hongzhong Zheng, Yuan Xie, Mingyu Gao, Spada: Accelerating Sparse Matrix Multiplication with Adaptive Dataflow, ASPLOS, 2023 查看PDF
2. Xiang Li, Nuozhou Sun, Yunqian Luo, Mingyu Gao, SODA: A Set of Fast Oblivious Algorithms in Distributed Secure Data Analytics, VLDB, 2023 查看PDF
1. Xiang Li, Fabing Li, Mingyu Gao, Flare: A Fast, Secure, and Memory-Efficient Distributed Analytics Framework, VLDB, 2023 查看PDF
