News


Mar 2025
Started internship at Canaan Inc.! ;)

Mar 2025
My paper "Rewire: Advancing CGRA Mapping Through a Consolidated Routing Paradigm" is accepted by DAC 2025!

Feb 2025
My paper "InkStream: Instantaneous GNN Inference on Dynamic Graphs via Incremental Update" is accepted by IPDPS 2025!

Jun 2024
Started internship at AMD Sinagpore! ;)

Oct 2023
My paper "Flip: Data-Centric Edge CGRA Accelerator" is accepted by TODAES!

Mar 2022
Invited as Young Fellow DAC 2022.

  Dan Wu 

PhD Student

School of Computing
National University of Singapore

L2-17, 11 Research Link, Singapore 119391

Email: dan.w [AT] u.nus.edu
• [CV]  • [Google Scholar]   • [GitHub]

I am a PhD candidate in School of Computing, National University of Singapore, supervised by Prof. Tulika Mitra. My research is related to software-hardware codesign, reconfigurable accelerators, graph application acceleration, including classic graph algorithms and Graph Neural Networks.

Education

National University of Singapore, Singapore
PhD Student                   August 2020 - December 2025, Singapore
Advisior: Prof. Tulika Mitra
School of Data Science, Fudan University, China
B.Sc. in Data Science                   August 2015 - June 2020, Shanghai
Advisor: Prof. Yanghua Xiao and rof. Deqing Yang

Work Experiences

Intern     Canaan Inc., Aug. 2025 - Dec. 2025
Work with: Dr. Yang Ding
Research Intern     AMD Singapore, Jun. 2024 - Dec. 2024
Work with: Dr. Haris Javaid
Research Assistant     The Hong Kong Polytechnic University, July 2019 - Dec 2019
Work with: Prof. Jiannong Cao

Selected Publications




Preprint Papers:
  • Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems
    Zhenyu Bai, Dan Wu, Pranav Dangi, Dhananjaya Wijerathne, Venkata Pavan Kumar Miriyala, and Tulika Mitra.
    In submission.
     [paper]  



    • Published Papers:
  • Rewire: Advancing CGRA Mapping Through a Consolidated Routing Paradigm
    Zhaoying Li, Dan Wu, Dhananjaya Wijerathne, Dan Chen, Huize Li, Cheng Tan and Tulika Mitra.
    62nd Design Automation Conference (DAC), 2025

  • InkStream: Instantaneous GNN Inference on Streaming Graphs via Incremental Update
    Dan Wu, Zhaoying Li, and Tulika Mitra.
    39th IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2025
     [paper]   [code]   [slide]

  • Sparse Collectives: Exploiting Data Sparsity to Improve Communication Efficiency
    Dhananjaya Wijerathne, Haris Javaid, Guanwen Zhong, Dan Wu, Xing Yuan Kom, and Mario Baldi.
    39th In Proceedings of the 2nd Workshop on Networks for AI Computing (NAIC), 2025
     [paper]  

  • Flip: Data-Centric Edge CGRA Accelerator
    Dan Wu, Peng Chen, Thilini Kaushalya Bandara, Zhaoying Li, and Tulika Mitra.
    ACM Transactions on Design Automation of Electronic Systems (TODAES), 2023
     [paper]  

  • FLEX: Introducing FLEXible Execution on CGRA with Spatio-Temporal Vector Dataflow
    Thilini Kaushalya Bandara, Dan Wu, Rohan Juneja, Dhananjaya Wijerathne, Tulika Mitra, and Li-Shiuan Peh.
    42nd ACM/IEEE International Conference on Computer Aided Design (ICCAD), 2023
     [paper]   [code]

  • Lisa: Graph neural network based portable mapping on spatial accelerators
    Zhaoying Li, Dan Wu, Dhananjaya Wijerathne, and Tulika Mitra.
    28th IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2022
     [paper]  [code]   Distinguished Artifact Award

  • Mining verb-oriented commonsense knowledge
    Jingping Liu, Yuanfu Zhou, Dan Wu, Chao Wang, Haiyun Jiang, Sheng Zhang, Bo Xu, and Yanghua Xiao.
    IEEE 36th International Conference on Data Engineering (ICDE), 2020.
     [paper]


    • Teaching Assistant


    2022: [CS3237] Introduction to Internet of Things (Dr. Boyd Anderson).
    2021: [CS3237] Introduction to Internet of Things (Dr. Colin Tan and Dr. Boyd Anderson).



    Last update: May 11, 2025. Webpage template borrows from Dr. Zemin Liu.