معرفی
Xingfu Wu is a Research Professor of Computer Science affiliated with Argonne National Laboratory (ANL). He holds a Ph.D. in Computer Science from Beijing University of Aeronautics and Astronautics and M.S. and B.S. degrees in Mathematics from Beijing Normal University. His research focuses on high-performance computing, performance modeling and analysis, and energy-efficient computing.
Education:
- Ph.D. in Computer Science, Beijing University of Aeronautics and Astronautics, Beijing, China
- M.S. in Mathematics, Beijing Normal University, Beijing, China
- B.S. in Mathematics, Beijing Normal University, Beijing, China
Research Interests: Xingfu Wu's research is centered around high-performance computing, performance modeling and analysis, and energy and power modeling. His work emphasizes optimizing parallel systems, developing frameworks for performance prediction (e.g., MuMMI), and enhancing energy efficiency in high-performance computing environments.
Scientific Awards:
- Best Paper Award, 14th IEEE International Conference on Computational Science and Engineering (CSE-2011), 2011
- Second Place, Beijing Science and Technology Advancement Awards, 1997
Labs/Teams: Wu contributes to research at Argonne National Laboratory, particularly through initiatives like the MuMMI framework for performance modeling and analysis.
