Published multiple papers including 'Moment: Co-optimizing Physical Communication Topology and Data Placement for Multi-GPU Out-of-core GNN' and 'DHAP: Towards Efficient OLAP in a Disaggregated and Heterogeneous Environment', covering areas such as high-performance computing, networking, storage, and analysis.
Research Experience
Served as a post-doc researcher at the Systems Group, ETH, Zurich, Switzerland.
Education
Former post-doc researcher at the Systems Group, ETH, Zurich, Switzerland.
Background
Currently a ZJU100 Young Professor at Zhejiang University in Computer Science. Research interests include building a hyper-heterogeneous computing platform with heterogeneous devices (e.g., FPGA, P4 switch, and GPU) for large-scale deep learning model training systems, graph neural network systems, cloud infrastructure, and privacy computing.
Miscellany
Contact: Email: wangzeke [ at ] zju.edu.cn; LinkedIn and Google Scholar profiles available.