Jiasheng (Jason) Hu
I am a fourth-year PhD student in Computer Science at the University of Toronto and a member of Far Data Lab, advised by Professor Qizhen Zhang. My research focuses on cloud-native and distributed data processing systems, especially how networking and emerging hardware such as DPUs (SmartNICs) can improve data movement and processing efficiency. I enjoy building and optimizing these systems, with a particular focus on network communication.
News
- Sep. 2023: I joined Far Data Lab at University of Toronto as a (direct-entry) PhD student.
- Jan. 2024: I finally arrived at UoT in person due to a visa delay.
- Jun. 2024: Our paper DDS has been accepted at VLDB 2024!
- Oct. 2024: Our paper DPDPU has been accepted at CIDR 2025!
- Oct. 2024: I gave a talk on DDS at OnDBD.
- May 2025: I started a summer research internship at Microsoft Research with Wentao Wu.
- Apr. 2026: My internship project, Tuning the Lookahead Distance for PostgreSQL Asynchronous IO, was accepted to the VLDB 2026 Industrial Track.
- Sept. 2026: I presented dpKernels at VLDB 2026.
Publications
Making Sense of DPU Performance for Cloud Data Processing. SoCC 2026.
Jiasheng Hu, Chihan Cui, Yuanfan Chen, Philip A. Bernstein, Jialin Li, Qizhen Zhang.
dpKernels: Harvesting DPU Compute Resources for Data-path Efficiency in Cloud Data Processing. VLDB 2026. Code.
Jiasheng Hu, Kaiwen Zheng, Anna Li, Sidharth Sankhe, Philip A. Bernstein, Qizhen Zhang.
Tuning the Lookahead Distance for PostgreSQL Asynchronous IO. VLDB 2026 Industrial Track.
Wentao Wu, Jiasheng Hu, Manoj Syamala, Andres Freund, Vivek Narasayya.
PD3: Prefetching Data with DPUs for Disaggregated Memory. NSDI 2026. Code.
Sidharth Sankhe, Felix Zhang, Umayrah Chonee, Sherman Lim, Jiasheng Hu, Jialin Li, Qizhen Zhang.
DPDPU: Data Processing with DPUs. CIDR 2025.
Jiasheng Hu, Philip A. Bernstein, Jialin Li, Qizhen Zhang.
DDS: DPU-optimized Disaggregated Storage. VLDB 2024. Code.
Qizhen Zhang, Philip Bernstein, Badrish Chandramouli, Jiasheng Hu, Yiming Zheng.