Jidong Zhai

Jidong Zhai is a Professor in the Department of Computer Science and Technology at Tsinghua University. His research interests include high performance computing, performance evaluation, compiler, heterogeneous computing, and cloud computing. He has published over 40 papers in prestigious conferences and journals, including SC, PPOPP, ASPLOS, ICS, ATC, MICRO, IEEE TPDS, and IEEE TC. He is the advisor of Tsinghua Student Cluster Team, which has achieved multiple international champions in student supercomputing challenges. He has served in various editorial and program committee roles, including IEEE TPDS Associate Editor and Program Co-Chair of NPC 2018 and ICPP PASA 2015 workshop.

Jidong Zhai is a researcher at Tsinghua University with expertise in Parallel Computing, Compiler, Programming Model, and GPU technologies. His work focuses on optimizing large-scale parallel applications and improving performance on modern architectures. Zhai has contributed to the development of frameworks for high-performance computing, including systems for efficient neural network inference, memory-intensive ML training, and graph pattern matching. His research also explores the integration of CPU/GPU architectures and the optimization of tensor programs for scalable computing. Zhai's publications highlight advancements in parallel application performance prediction, compression-aware processing, and the design of efficient programming models for emerging hardware.