Jinming Zhuang

Jinming Zhuang

Ph.D. Student

Brown University

Biography

Welcome to Jinming Zhuang’s (庄谨铭) Homepage! Jinming is a fourth-year Ph.D. student in ECE department at Brown University, supervised by Prof. Peipei Zhou. He received his B.E. degree in Electronic Engineering from University of Electronic Science and Technology of China(UESTC) in 2021. His research interest lies in Heterogeneous Computing, Compiler Design & Programming Abstraction for Accelerators, HW/SW Co-design, and Domain-Specific Accelerator Design. His works have received the 2025 ACM/SIGDA FPGA Best Paper Nominee, 2024 IEEE IGSC Best Viewpoint Paper, and 2021 ACM/IEEE DAC Young Student Fellow Best Video Award.

Recently, our work “ARIES: An Agile MLIR-Based Compilation Flow for Reconfigurable Devices with AI Engines” （2025 FPGA Best Paper Nominee）has been open-sourced on GitHub: https://github.com/arc-research-lab/Aries.

Feel free to reach out to me for any discussions, and welcome to use all of our open-source tools!

Interests
  • Heterogeneous Computing: FPGAs, GPUs, ASICs and NPUs
  • Compiler Design & Programming Abstraction
  • Hardware & Software Co-design
Education

  • PhD in Electrical and Computer Engineering, 2024 - Present

    Brown University

  • PhD in Electrical and Computer Engineering, 2021 - 2024

    University of Pittsburgh

  • BSc in Electronic Science and Engineering, 2017 - 2021

    University of Electronic Science and Technology of China (UESTC)

Publications

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Zhuoping Yang, Jinming Zhuang, Peipei Zhou (2023). AIM: Accelerating Arbitrary-precision Integer Multiplication on Heterogeneous Reconfigurable Computing Platform Versal ACAP. To appear in Proceedings of the 42nd IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2023, October 29, 2023 - November 2, 2022, San Francisco, CA, USA..

Cite Code

Jinming Zhuang, Zhuoping Yang, Peipei Zhou (2023). High Performance, Low Power Matrix Multiply Design on ACAP: from Architecture, Design Challenges and DSE Perspectives. Proceedings of the 60th ACM/IEEE Design Automation Conference, San Francisco, California, USA, (DAC ’23), July 9–13, 2023, San Francisco, CA, USA..

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Jinming Zhuang, Jason Lau, Hanchen Ye, Zhuoping Yang, Yubo Du, Jack Lo, Kristof Denolf, Stephen Neuendorffer, Alex K. Jones, Jingtong Hu, Deming Chen, Jason Cong, Peipei Zhou (2022). CHARM: Composing Heterogeneous AcceleRators for Matrix Multiply on Versal ACAP Architecture. Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays (FPGA ’23), February 12–14, 2023, Monterey, CA, USA. ACM, New York, NY, USA, 12 pages..

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