معرفی
Zhiru Zhang is a Professor at Cornell University in the School of Electrical and Computer Engineering, leading research at the Computer Systems Laboratory. His work focuses on algorithms, methodologies, and design automation tools for heterogeneous computing systems. Recent publications emphasize high-level synthesis (HLS), hardware specialization for machine learning, and programming models for software-defined FPGAs.
Education:
- Ph.D. in Computer Science, UCLA
- B.S. in Computer Science, Peking University
- M.S. in Computer Science, UCLA
Research Interests:
- Heterogeneous computing systems
- High-level synthesis (HLS) optimization
- FPGA-based hardware acceleration
- Sparse data format compilers
- Machine learning for electronic design automation
Scientific Awards:
- IEEE Fellow
- Intel Outstanding Researcher Award
- NSF CAREER Award
- DARPA Young Faculty Award
- Multiple Best Paper Awards at ASPLOS, ISPD, FPGA, AutoML, FCCM
Research Group: Mentors 12 current students including Jordan Dotzel, Jie Liu, and Grace Dinh, with 14 alumni now at institutions like AWS AI, NVIDIA, Google DeepMind, and Microsoft. His lab develops tools like UniSparse for sparse format customization, presented at OOPSLA'24 and IEEE CAL.
