"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 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. Her research interests lie in the broad fields of domain-specific language design, architecture and compiler optimization, and hardware acceleration. Her current research focuses on building high- performance, energy-efficient, and high-fidelity programming frameworks for emerging technologies such as quantum computing, machine learning, and deep learning. She is a recipient of NSF CAREER Award (2020), IEEE Computer Society TCHPC Early Career Researchers Award for Excellence in High Performance Computing (2019), NCSU Computer Science Outstanding Dissertation Award (2018), NCSU Computer Science Outstanding Research Award (2016), and Distinguished Paper Award at OOPLSA (2020).

Research

My research interests lie in the broad fields of domain-specific language design, architecture and compiler optimization, and hardware acceleration (e.g., FPGAs, GPUs). 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. I also co-direct the Scalable Energy-Efficient Architecture Lab (SEAL) at UCSB.

Openings

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

News

• Collaborative NSF funding for “FMitF: Track I: Scalable and Quantitative Verification for Neural Network Analysis and Design”, 2021.

• VMware Early Career Faculty Grant, 2021.

• NSF CAREER Award for "A Top-down Compilation Infrastructure for Optimization and Debugging in the NISQ era", 2020.

• Distingushed Paper Award @ OOPSLA 2020.

• Awards committee for the Grande Finals of the ACM Student Research Competition, 2021.

• Program Committee @ ASPLOS 2021, MICRO 2021, SC 2021, IPDPS 2021, AAAI 2021, ICLR 2021, ISC 2021, APSys 2021.

• Awards committee for IEEE Computer Society TCHPC Early Career Researchers Award, 2020.

• IEEE Computer Society TCHPC Early Career Researchers Award for Excellence in High Performance Computing, 2019.

• Collaborative NSF funding for “CC* Compute: A high-performance GPU cluster for accelerated research”, 2019.

• Alibaba Gift Money for "Domain Specific Accelerator Research", 2019, 2020.

• Web Chair @ PPoPP 2020.

• Program Committee @ PPoPP 2020, PLDI 2020, ASPLOS 2020, MICRO 2020.

• Program Committee @ ISMM 2019, LCPC 2019.

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

• NVIDIA GPU Grant, Xilinx FPGA Grant, Intel FPGA Grant.

• Co-chair @ ACM SRC, ASPLOS 2019.

• External Review Committee @ PLDI 2019.

• Program Committee @ ASPLOS 2019, CGO 2019, IPDPS 2019, OOPSLA 2019, NPC 2019.

• Program Committee @ USENIX ATC 2018.

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

• PNCSU Computer Science Outstanding Dissertation Award, 2018, 2018.

Group Members

• Ph.D.: Boyuan Feng, Yuke Wang, Gushu Li*, Liu Liu*, Abanti Basak*, Anbang Wu*, Pengfei Xu*, Guyue Huang*.

  (* co-advised with Dr. Yuan Xie)

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

• Undergraduates: Shu Yang, Xingxing Geng, Annan Zhang

• Visiting students: Lingwei Xie, Xiaolei Liu, Fei Shi

Teaching

2021 Spring CS160 Translation of Programming Languages

2020 Fall CS293S Advanced Compiler Technology

2020 Winter CS293S Advanced Compiler Technology

2019 Fall CS160 Translation of Programming Languages

2019 Spring CS160 Translation of Programming Languages

2019 Winter CS165B Machine Learning

2018 Fall CS293S Advanced Compiler Technology

CV

My [ CV ] can be found here.

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