Xiaoming Li

Xiaoming Li is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Delaware, focusing on compiler optimization, GPU computing, and hardware-software interaction. His work bridges machine learning with code generation to enhance program efficiency.

• B.S. and M.E. from Nanjing University (1998, 2001)
• Ph.D. in Computer Science from University of Illinois at Urbana-Champaign (2006)

Research interests include:

• Compiler optimizations for static and dynamic code transformation
• Machine learning-driven code generation techniques
• FFT algorithms for sparse and hybrid systems
• Non-traditional compilers for SAT solvers and virtual machines
• GPU acceleration for large-scale computational problems

His publications span 15 years, emphasizing:

• FFT optimization across GPU/CPU architectures
• Compiler techniques for heterogeneous systems
• Adaptive scheduling and error resilience
• Integration of empirical and model-driven approaches

Notable awards:

• NSF CAREER Award (2008)
• Best Paper Award at ADAPT Workshop (2013)

Advising highlights:

• Current students: Ryan Taylor, Sha Li, Shuo Chen, Yuanfang Chen, Chao Yang, Chaoyu Chen
• Graduates: Liang Gu (FFT Libraries), Jakob Siegel (GPGPU Frameworks), Murat Bolat (Context-Aware Compilation)