Shulai Zhang (张 舒来)

Shulai Zhang (张 舒来)

Emerging Parallel Computing Center, Shanghai Jiao Tong University

I am a fourth-year Ph.D. candidate at Emerging Parallel Computing Center (EPCC), Shanghai Jiao Tong University, supervised by Prof. Quan Chen. My research interests lie in optimizing AI systems on modern hardware (GPU/NPU), leveraging techniques including scheduling/compiling/resource-managing. I expect to enter the job market in 2025 and am currently seeking a position in academia or industry to contribute to the advancement of future compute systems. My CV is here. Feel free to email me if you are interested.

Publications

  • EuroSys 2025
     Shulai Zhang, Quan Chen, Weihao Cui, Han Zhao, Chunyu Xue, Zhen Zheng, Wei Lin, Minyi Guo. Improving GPU Sharing Performance through Adaptive Bubbleless Spatial-Temporal Sharing.
  • SoCC 2023
     Binghao Chen, Han Zhao, Weihao Cui, Yifu He, Shulai Zhang, Quan Chen, Zijun Li, Minyi Guo. Maximizing the Utilization of GPUs Used by Cloud Gaming through Adaptive Co-location with Combo.
  • ICS 2022
     Shulai Zhang, Weihao Cui, Quan Chen, Zhengnian Zhang, Yue Guan, Jingwen Leng, Chao Li, Minyi Guo. PAME: precision-aware multi-exit DNN serving for reducing latencies of batched inferences.
  • ICPP 2021
     Shulai Zhang, Zirui Li, Quan Chen, Wenli Zheng, Jingwen Leng, Minyi Guo. Dubhe: Towards data unbiasedness with homomorphic encryption in federated learning client selection.
  • ICASSP 2020
     Shulai Zhang, Xiaoli Ma. A General Difficulty Control Algorithm for Proof-of-Work Based Blockchains.
  • SPAWC 2020
     Kaiwen Zheng, Shulai Zhang, Xiaoli Ma. Difficulty Prediction for Proof-of-Work Blockchains.
  • Globecom 2019
     Shulai Zhang, Meixia Tao, Zhiyong Chen. Exploiting Caching and Prediction to Promote User Experience for a Real-time Wireless VR Service.

Projects

  • 2024, Performance isolation tools for multi-tenant NPU, Institute of Computing Technology, Chinese Academy of Sciences.
  • 2023, Kernel-space virtualization for GPU sharing, Lenovo.
  • 2023, Resource management and compilation co-design to optimize AI model performance, Alibaba Group.

Experiences

  • 2024.07 - Now, Research Intern - ByteDance.
  • 2020.06 - 2020.10, Research Intern - Agora.
  • 2019.07 - 2020.05, Research Intern - Georgia Institute of Technology.
  • 2016.09 - 2020.06, Bachelor - Information Engineering, Shanghai Jiao Tong University.