Biography

I am a third-year Ph.D. student in the Department of Computer Science at Peking University associated with the Center for Energy-Efficient Computing and Applications (CECA). I am a member of the PKU-IDEA Lab, advised by Prof. Yibo Lin. Previously, I received the B.S. degree in Computer Science and Technology from Peking University in 2021. My research focuses are machine learning-assisted EDA; my broader interests include MLSys, concurrency and probabilistic modeling.

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Interests
  • Computer Systems
  • Machine Learning
  • Causal Inference
Education
  • PhD in Computer Science, Present

    Peking University

  • BSc in Computer Science and Technology, 2021

    Peking University

Publications

(2023). LEAPS: Topological-Layout-Adaptable Multi-Die FPGA Placement for Super Long Line Minimization. IEEE Transactions on Circuits and Systems I: Regular Papers (TCSI) 2023.

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(2023). Multi-Electrostatic FPGA Placement Considering SLICEL-SLICEM Heterogeneity, Clock Feasibility, and Timing Optimization. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD) 2023.

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(2023). OpenPARF: An Open-Source Placement and Routing Framework for Large-Scale Heterogeneous FPGAs with Deep Learning Toolkit (Invited Paper). International Conference on ASIC (ASICON) 2023.

(2023). OpenPARF: An Open-Source Placement and Routing Framework for Large-scale Heterogeneous FPGAs with Deep Learning Toolkit. Journal of Electronics and Information Technology (JEIT) 2023.

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(2023). A Robust FPGA Router with Concurrent Intra-CLB Rerouting. 28th Asia and South Pacific Design Automation Conference (ASP-DAC) 2023.

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(2023). MacroRank: Ranking Macro Placement Solutions Leveraging Translation Equivariancy. 28th Asia and South Pacific Design Automation Conference (ASP-DAC) 2023.

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(2022). Multi-Electrostatic FPGA Placement Considering SLICEL-SLICEM Heterogeneity and Clock Feasibility. 59th ACM/IEEE Design Automation Conference (DAC) 2022.

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(2021). Ultrafast CPU/GPU Kernels for Density Accumulation in Placement. 58th ACM/IEEE Design Automation Conference (DAC) 2021.

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(2021). Critique of “Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility” by SCC Team From Peking University. IEEE Transactions on Parallel and Distributed Systems (TPDS) 2021.

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Contact

  • jingmai@pku.edu.cn
  • Peking University, No.5 Yiheyuan Road, Haidian, Beijing, 100871
  • Room 405, No.5 Science Building