Linghao Song

Website:

Personal website
Assistant Professor of Electrical & Computer Engineering
Office Address:
10 Hillhouse Avenue
New Haven, CT 06511
Mailing Address:
P.O. Box 208267
New Haven, CT 06520
Email: linghao.song@yale.edu
Degrees:
  • Ph.D., Duke University
  • M.S., University of Pittsburgh
  • B.S.E., Shanghai Jiao Tong University

Interests:

  • Accelerator architecture
  • Acceleration systems prototyping and implementation
  • FPGAs
  • Large-scale sparse processing

Selected Awards & Honors:

  • Duke ECE Outstanding Dissertation Award, 2021
  • EDAA Outstanding Dissertation Award, 2020
  • John A. Jurenko Graduate Fellowship, 2015
  • National Scholarship of China, 2012

Selected Publications:

  • Guo, L., Chi, Y., Lau, J., Song, L., Tian, X., Khatti, M., Qiao, W., Wang, J., Ustun, E., Fang, Z. and Zhang, Z., 2023. TAPA: A Scalable Task-parallel Dataflow Programming Framework for Modern FPGAs with Co-optimization of HLS and Physical Design. ACM Transactions on Reconfigurable Technology and Systems, 16(4), pp.1-31.
  • Song, L., Chen, F., Li, H. and Chen, Y., 2023, November. ReFloat: Low-Cost Floating-Point Processing in ReRAM for Accelerating Iterative Linear Solvers. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (pp. 1-15).
  • Song, L., Chi, Y., Sohrabizadeh, A., Choi, Y.K., Lau, J. and Cong, J., 2022, February. Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication. In Proceedings of the 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (pp. 65-77).
  • Song, L., Chi, Y., Guo, L. and Cong, J., 2022, July. Serpens: A High Bandwidth Memory Based Accelerator for General-Purpose Sparse Matrix-Vector Multiplication. In Proceedings of the 59th ACM/IEEE design automation conference (pp. 211-216).
  • Chen, Y., Xie, Y., Song, L., Chen, F. and Tang, T., 2020. A Survey of Accelerator Architectures for Deep Neural Networks. Engineering, 6(3), pp.264-274.
  • Song, L., Zhuo, Y., Qian, X., Li, H. and Chen, Y., 2018, February. GraphR: Accelerating Graph Processing Using ReRAM. In 2018 IEEE International Symposium on High Performance Computer Architecture (HPCA) (pp. 531-543). IEEE.
  • Song, L., Qian, X., Li, H. and Chen, Y., 2017, February. PipeLayer: A Pipelined ReRAM-Based Accelerator for Deep Learning. In 2017 IEEE international symposium on high performance computer architecture (HPCA) (pp. 541-552). IEEE.