CRML Affiliated Faculty
Assistant Professor, Computer Science
Dr. Ding’s research interests lie in the broad and cross-cutting fields of domain-specific programming language design, architecture and compiler optimization, and hardware acceleration (e.g., FPGA, GPU systems). She has successfully built multiple high-performance, energy-efficient, and high-fidelity programming systems for both machine learning and quantum computing. These works require extensive engineering and empirical evaluation of real systems, applications, and workloads (which are extremely time intensive but important for academic and social impact). Especially, her research pioneers the effort in building optimization frameworks that take a holistic view across multiple layers, ranging from high-level algorithmic optimization to lower-level compilation and runtime optimization, and to the underlying architecture design optimization. Her works also aim to build intelligent compilation systems to automatically select the best set of optimizations towards varying inputs and underlying hardware architectures. Thanks to the large optimization space opened up by the holistic optimization stack and automatic optimization enabled by the compiler-centric infrastructure, her work brings in magnitudes of performance improvement and saves years of manual efforts in multiple computing fields, leading to transformational advances for the community.
Yufei Ding joined the Department of Computer Science, University of California at Santa Barbara as an Assistant Professor in Nov 2017. She received her Ph.D. in Computer Science from North Carolina State University, and B.S. and M.S. in Physics from the University of Science and Technology of China and The College of William and Mary respectively. In 2012, she started her Ph.D. study in Computer Science. Her research interest resides at the intersection of Compiler Technology and (Big) Data Analytics, with a focus on enabling High-Level Program Optimizations for data analytics and other data-intensive applications. Yufei has been actively publishing in major venues in both computer systems and data analytics areas, such as ASPLOS, PLDI, OOPSLA, VLDB, ICDE, and ICML. Dr. Ding was the recipient of NCSU Computer Science Outstanding Research Award in 2016, and NCSU Computer Science Outstanding Dissertation Award in 2018. In 2019, she received the IEEE Computer Society TCHPC Early Career Researchers Award for Excellence in High-Performance Computing, which is international and only recognizes up to three individuals who have made outstanding, influential, and potentially long-lasting contributions in the field of high-performance computing each year.