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Entropy Xu

徐策羽

Ph.D. candidate at Duke University studying Computer Architecture and Machine Learning.


I am currently a Ph.D. candidate in the Computer Science Department at Duke University, under the advisement of Prof. Lisa Wu Wills.
My research focus lies at the intersection of computer architecture and machine learning, encompassing two main directions:

  1. Designing efficient computer architecture for machine learning algorithms.
  2. Designing machine learning algorithms for efficient computer architectures.

Before I came to Duke, I received my bachelor degree in Computer Engineering at the University of California, Irvine in 2020.

Contact Details

Publications

Conference Papers

[Micro 2023] Fast, Robust, and Transferable Prediction for Hardware Logic Synthesis (SNS v2)
Ceyu Xu, Pragya Sharma, Tianshu Wang, and Lisa Wu Wills. In 2023 56th IEEE/ACM International Symposium on Microarchitecture (MICRO).

[ISCA 2022] SNS’s not a Synthesizer: A Deep-Learning-Based Synthesis Predictor
Ceyu Xu, Chris Kjellqvist, and Lisa Wu Wills. In The 49th Annual International Symposium on Computer Architecture (ISCA 22).
IEEE Micro Top-picks Honorable Mention 2023

[ASPLOS 2022] ProSE: The Architecture and Design of a Protein Discovery Engine
Eyes Robson*, Ceyu Xu* (Co-first author), and Lisa Wu Wills. In Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2022).

[ISPASS 2023] PyTFHE: An End-to-End Compilation and Execution Framework for Fully Homomorphic Encryption Applications
Jiaao Ma, Ceyu Xu, and Lisa Wu Wills. 2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS).
ISPASS 2023 Best Paper Award

[ICCAD 2023] MasterRTL: A Pre-Synthesis PPA Estimation Framework for Any RTL Design
Wenji Fang, Yao Lu, Shang Liu, Qijun Zhang, Ceyu Xu, Lisa Wu Wills, Hongce Zhang, and Zhiyao Xie. In 2023 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

Journals and Survey Papers

[CODES/ISSS 2023] Machine Learning for Embedded System Design
Erika S. Alcorta, Andreas Gerstlauer, Chenhui Deng, Qi Sun, Zhiru Zhang, Ceyu Xu, Lisa Wu Wills, Daniela Sanchez Lopera,Wolfgang Ecker, Siddharth Garg, and Jiang Hu. In 2023 International Conference on Hardware/Software Codesign and System Synthesis (CODES/ISSS ’23 Companion).

Teaching and Mentoring

  • Teaching Assistant, CS250/ECE250: Computer Architecture, Duke University, Spring 2021
  • Teaching Assistant, CS550/ECE552: Advanced Computer Architecture, Duke University, Fall 2021
  • Mentoring Undergraduate Researchers, Duke University, 2022-2023.
  • Undergraduate Researcher Tianshu Wang won the ACM Student Research Competition (SRC) at MICRO 2023.