Linghao Song

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Assistant Professor
Department of Electrical & Computer Engineering
Yale University
Address: 10 Hillhouse Ave, DL 506, New Haven, CT 06511
E-mail: linghao.song AT yale DOT edu
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Biography

Linghao Song is an Assistant Professor in the Department of Electrical & Computer Engineering at Yale University. He conducted postdoctoral research in UCLA Computer Science Department under the supervision of Professor Jason Cong. He received Ph.D. in Computer Engineering from Duke University under the supervision of Professor Yiran Chen and Professor Hai (Helen) Li in 2020, M.S. in Electrical Engineering from University of Pittsburgh in 2017, and B.S.E. in Information Engineering from Shanghai Jiao Tong University in 2014. His research interests include machine learning acceleration, computer architecture, FPGA acceleration systems, and deep learning application. He received 2020 EDAA Outstanding Dissertation Award and 2021 Duke ECE Outstanding Dissertation Award.

We have openings for visiting students/internships. The research topic is FPGA accelerators and HLS. We require background knowledge on FPGA and architecture plus strong coding skills. Drop me an email with your CV and transcripts if you are interested.

News

Education

Duke University

University of Pittsburgh

Shanghai Jiao Tong University

Honors and Awards

Experience

University of California, Los Angeles

Pacific Northwest National Laboratory

Oak Ridge National Laboratory

Selected Publications

  1. Linghao Song, Xuehai Qian, Hai Li, and Yiran Chen,
    PipeLayer: A Pipelined ReRAM-Based Accelerator for Deep Learning. [800+ Citations]
    HPCA’17 : 2017 IEEE International Symposium on High Performance Computer Architecture, Austin, TX, USA, February 4 - 8, 2017.

  2. Linghao Song, Youwei Zhuo, Xuehai Qian, Hai Helen Li, and Yiran Chen,
    GraphR: Accelerating Graph Processing Using ReRAM. [300+ Citations]
    HPCA’18 : IEEE International Symposium on High Performance Computer Architecture, Vienna, Austria, February 24-28, 2018.

  3. Linghao Song, Jiachen Mao, Youwei Zhuo, Xuehai Qian, Hai Li, and Yiran Chen,
    HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array. [100+ Citations]
    HPCA’19 : 25th IEEE International Symposium on High Performance Computer Architecture, Washington, DC, USA, February 16 - 20, 2019.

  4. Linghao Song, Fan Chen, Youwei Zhuo, Xuehai Qian, Hai Li, and Yiran Chen,
    AccPar: Tensor Partitioning for Heterogeneous Deep Learning Accelerators.
    HPCA’20 : IEEE International Symposium on High Performance Computer Architecture, San Diego, CA, USA, February 22 - 26, 2020.

  5. Linghao Song, Fan Chen, Hai Li, and Yiran Chen,
    ReFloat: Low-Cost Floating-Point Processing in ReRAM for Accelerating Iterative Linear Solvers.
    SC’23 : International Conference for High Performance Computing, Networking, Storage and Analysis, Denver, CO, USA, November 12 - 17, 2023.

  6. Linghao Song, Licheng Guo, Suhail Basalama, Yuze Chi, Robert F. Lucas, and Jason Cong,
    Callipepla: Stream Centric Instruction Set and Mixed Precision for Accelerating Conjugate Gradient Solver.
    FPGA’23 : The 2023 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Monterey, CA, USA, February 12 - 14, 2023.

  7. Linghao Song, Yuze Chi, Atefeh Sohrabizadeh, Young-kyu Choi, Jason Lau, and Jason Cong,
    Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication.
    FPGA’22 : The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, February 27 - March 1, 2022.

  8. Linghao Song, Yuze Chi, Licheng Guo, and Jason Cong,
    Serpens: A High Bandwidth Memory Based Accelerator for General-Purpose Sparse Matrix-Vector Multiplication.
    DAC’22 : Proceedings of the 59th Annual Design Automation Conference, San Francisco, CA, USA, July 11 - 14, 2022.

  9. Linghao Song, Yuze Chi, and Jason Cong,
    Pyxis: An Open-Source Performance Dataset of Sparse Accelerators.
    ICASSP’22 : 2022 IEEE International Conference on Acoustics, Speech and Signal Processing, Singapore, Singapore, May 23 - 27, 2022.

  10. Linghao Song, Fan Chen, Steven R. Young, Catherine D. Schuman, Gabriel Perdue, and Thomas E. Potok,
    Deep Learning for Vertex Reconstruction of Neutrino-nucleus Interaction Events with Combined Energy and Time Data.
    ICASSP’19 : 2019 IEEE International Conference on Acoustics, Speech and Signal Processing, Brighton, UK, May 12 - 17, 2019.

Professional Services

Organization Committee

Program Committee

Artifact Evaluation Committee

Session Chair

Journal Reviewer

Conference Reviewer