"Try to learn something about everything and everything about something."

—Thomas Henry Huxley (1825 - 1895)

Bio

Yufei Ding joined the Department of Computer Science (with a joint appointment in the Department of Electrical & Computer Engineering), University of California at Santa Barbara as an Assistant Professor in Nov 2017. She received her Ph.D. in the Computer Science from North Carolina State University, and B.S. and M.S. in Physics from 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. She was the receipt of NCSU Computer Science Outstanding Research Award in 2016 and Computer Science Outstanding Dissertation Award in 2018.

Research

My research interests lie in the broad fields of domain-specific language design, architecture and compiler optimization, and hardware acceleration (e.g., FPGA, GPU). Our current research focuses on building a high-performance, energy efficient, and high-fidelity programming framework for emerging technologies such as machine learning, deep learning, and quantum computing.

Openings

I am looking for self-motivated Ph.D. students, especially in the direction of quantum computing.

News

• IEEE Computer Society TCHPC Early Career Researchers Award for Excellence in High Performance Computing.

• co-PI @ NSF “CC* Compute: A high-performance GPU cluster for accelerated research”.

• PI @ Alibaba Gift Money for "Domain Specific Accelerator Research".

• Web Chair @ PPoPP 2020.

• Program Committee @ PPoPP 2020.

• Program Committee @ PLDI 2020.

• Program Committee @ ASPLOS 2020.

• Program Committee @ LCPC 2019.

• Reviewer @ ICML 2019, UAI 2019, NeurIPS 2019.

• Program Committee @ ISMM 2019.

• NVIDIA GPU Grant

• Co-chair @ ACM SRC, ASPLOS 2019.

• External Review Committee @ PLDI 2019.

• Program Committee @ IPDPS 2019.

• Program Committee @ OOPSLA 2019.

• Program Committee @ NPC 2019.

• Program Committee @ CGO 2019.

• Program Committee @ ASPLOS 2019.

• Program Committee @ USENIX ATC 2018.

• Co-chair @ ACM SRC and Posters, ASPLOS 2018.

Group Members

• Ph.D.: Boyuan Feng, Yuke Wang;

  Gushu Li, Liu Liu and Abanti Basak (co-advised by Prof. Yuan Xie)

• M.S.: Kun Wan (Adobe), Andrew Huang (Google)

• Undergraduate: Shu Yang, Xingxing Geng, Annan Zhan

• Visiting students: Lingwei Xie, Xiaolei Liu

Teaching

2020 Winter CS293S Code Optimization

2019 Fall CS160 Translation of Programming Languages

2019 Spring CS160 Translation of Programming Languages

2019 Winter CS165B Machine Learning

2018 Fall CS293S Code Optimization

CV

My [ CV ] can be found here.

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