Mingyu Gao

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 27

Top Topics

Precision Recall

Data Processing

Matrix Multiplication

Graph Pattern Matching

Top Venues

Publications

Shuangyu Cai, Boyu Tian, Huanchen Zhang, Mingyu Gao
PimPam: Efficient Graph Pattern Matching on Real Processing-in-Memory Hardware. Proc. ACM Manag. Data 2 (3) (2024)
Carsten Baum, Jens Berlips, Walther Chen, Hongrui Cui, Ivan Damgård, Jiangbin Dong, Kevin M. Esvelt, Mingyu Gao, Dana Gretton, Leonard Foner, Martin Kysel, Kaiyi Zhang, Juanru Li, Xiang Li, Omer Paneth, Ronald L. Rivest, Francesca Sage-Ling, Adi Shamir, Yue Shen, Meicen Sun, Vinod Vaikuntanathan, Lynn Van Hauwe, Theia Vogel, Benjamin Weinstein-Raun, Yun Wang, Daniel Wichs, Stephen Wooster, Andrew C. Yao, Yu Yu, Haoling Zhang
A system capable of verifiably and privately screening global DNA synthesis. CoRR (2024)
Yiwei Li, Boyu Tian, Mingyu Gao
Trimma: Trimming Metadata Storage and Latency for Hybrid Memory Systems. CoRR (2024)
Boyu Tian, Yiwei Li, Li Jiang, Shuangyu Cai, Mingyu Gao
NDPBridge: Enabling Cross-Bank Coordination in Near-DRAM-Bank Processing Architectures. ISCA (2024)
Jingwei Cai, Zuotong Wu, Sen Peng, Yuchen Wei, Zhanhong Tan, Guiming Shi, Mingyu Gao, Kaisheng Ma
Gemini: Mapping and Architecture Co-exploration for Large-scale DNN Chiplet Accelerators. HPCA (2024)
Zhiyao Li, Jiaxiang Li, Taijie Chen, Dimin Niu, Hongzhong Zheng, Yuan Xie, Mingyu Gao
Spada: Accelerating Sparse Matrix Multiplication with Adaptive Dataflow. ASPLOS (2) (2023)
Zhiyao Li, Mingyu Gao
KAPLA: Pragmatic Representation and Fast Solving of Scalable NN Accelerator Dataflow. CoRR (2023)
Boyu Tian, Qihang Chen, Mingyu Gao
ABNDP: Co-optimizing Data Access and Load Balance in Near-Data Processing. ASPLOS (3) (2023)
Haohui Mai, Jiacheng Zhao, Hongren Zheng, Yiyang Zhao, Zibin Liu, Mingyu Gao, Cong Wang, Huimin Cui, Xiaobing Feng, Christos Kozyrakis
Honeycomb: Secure and Efficient GPU Executions via Static Validation. OSDI (2023)
Ke Wang, Guanqun Yang, Yiwei Li, Huanchen Zhang, Mingyu Gao
When Tree Meets Hash: Reducing Random Reads for Index Structures on Persistent Memories. Proc. ACM Manag. Data 1 (1) (2023)
Haojie Wang, Jidong Zhai, Mingyu Gao, Feng Zhang, Tuowei Wang, Zixuan Ma, Shizhi Tang, Liyan Zheng, Wen Wang, Kaiyuan Rong, Yuanyong Chen, Zhihao Jia
Optimizing DNNs With Partially Equivalent Transformations and Automated Corrections. IEEE Trans. Computers 72 (12) (2023)
Weiliang Ma, Qian Xiong, Xuanhua Shi, Xiaosong Ma, Hai Jin, Haozhao Kuang, Mingyu Gao, Ye Zhang, Haichen Shen, Weifang Hu
GZKP: A GPU Accelerated Zero-Knowledge Proof System. ASPLOS (2) (2023)
Mark Zhao, Mingyu Gao, Christos Kozyrakis
ShEF: shielded enclaves for cloud FPGAs. ASPLOS (2022)
Xing Zhou, Zhilei Xu, Cong Wang, Mingyu Gao
PPMLAC: high performance chipset architecture for secure multi-party computation. ISCA (2022)
Haojie Wang, Jidong Zhai, Mingyu Gao, Zixuan Ma, Shizhi Tang, Liyan Zheng, Yuanzhi Li, Kaiyuan Rong, Yuanyong Chen, Zhihao Jia
PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections. OSDI (2021)
Mark Zhao, Mingyu Gao, Christos Kozyrakis
ShEF: Shielded Enclaves for Cloud FPGAs. CoRR (2021)
Xuan Yang, Mingyu Gao, Qiaoyi Liu, Jeff Setter, Jing Pu, Ankita Nayak, Steven Bell, Kaidi Cao, Heonjae Ha, Priyanka Raina, Christos Kozyrakis, Mark Horowitz
Interstellar: Using Halide's Scheduling Language to Analyze DNN Accelerators. ASPLOS (2020)
Zhihao Jia, Sina Lin, Mingyu Gao, Matei Zaharia, Alex Aiken
Improving the Accuracy, Scalability, and Performance of Graph Neural Networks with Roc. MLSys (2020)
Zhihao Jia, James J. Thomas, Todd Warszawski, Mingyu Gao, Matei Zaharia, Alex Aiken
Optimizing DNN Computation with Relaxed Graph Substitutions. MLSys (2019)
Mingyu Gao, Xuan Yang, Jing Pu, Mark Horowitz, Christos Kozyrakis
TANGRAM: Optimized Coarse-Grained Dataflow for Scalable NN Accelerators. ASPLOS (2019)
Xuan Yang, Mingyu Gao, Jing Pu, Ankita Nayak, Qiaoyi Liu, Steven Bell, Jeff Setter, Kaidi Cao, Heonjae Ha, Christos Kozyrakis, Mark Horowitz
DNN Dataflow Choice Is Overrated. CoRR (2018)
Mingxing Zhang, Youwei Zhuo, Chao Wang, Mingyu Gao, Yongwei Wu, Kang Chen, Christos Kozyrakis, Xuehai Qian
GraphP: Reducing Communication for PIM-Based Graph Processing with Efficient Data Partition. HPCA (2018)
William Hwang, Mohamed M. Sabry Aly, Yash H. Malviya, Mingyu Gao, Tony F. Wu, Christos Kozyrakis, H.-S. Philip Wong, Subhasish Mitra
abundant-data computing: special session paper. CODES+ISSS (2017)
Mingyu Gao, Christina Delimitrou, Dimin Niu, Krishna T. Malladi, Hongzhong Zheng, Bob Brennan, Christos Kozyrakis
DRAF: A Low-Power DRAM-Based Reconfigurable Acceleration Fabric. IEEE Micro 37 (3) (2017)
Mingyu Gao, Jing Pu, Xuan Yang, Mark Horowitz, Christos Kozyrakis
TETRIS: Scalable and Efficient Neural Network Acceleration with 3D Memory. ASPLOS (2017)
Mingyu Gao, Christos Kozyrakis
HRL: Efficient and flexible reconfigurable logic for near-data processing. HPCA (2016)
Mingyu Gao, Christina Delimitrou, Dimin Niu, Krishna T. Malladi, Hongzhong Zheng, Bob Brennan, Christos Kozyrakis
DRAF: A Low-Power DRAM-Based Reconfigurable Acceleration Fabric. ISCA (2016)
Mohamed M. Sabry, Mingyu Gao, Gage Hills, Chi-Shuen Lee, Greg Pitner, Max M. Shulaker, Tony F. Wu, Mehdi Asheghi, Jeffrey Bokor, Franz Franchetti, Kenneth E. Goodson, Christos Kozyrakis, Igor L. Markov, Kunle Olukotun, Larry T. Pileggi, Eric Pop, Jan M. Rabaey, Christopher Ré, H.-S. Philip Wong, Subhasish Mitra
Energy-Efficient Abundant-Data Computing: The N3XT 1, 000x. Computer 48 (12) (2015)
Mingyu Gao, Grant Ayers, Christos Kozyrakis
Practical Near-Data Processing for In-Memory Analytics Frameworks. PACT (2015)