Zizheng Guo

Zizheng Guo

Undergraduate Student

Peking University

Biography

I am a final-year undergraduate student in the Department of Computer Science at Peking University. My research interests include data structures, algorithm design and GPU acceleration for combinatorial optimization problems. Currently, I am affiliated with Center for Energy-efficient Computing and Applications working on electronics design automation (EDA).

Interests

  • Data Structure and Algorithms
  • GPU Acceleration using CUDA
  • Reinforcement Learning

Education

  • BSc in Computer Science, 2018

    Peking University

Recent News

Zizheng won first place at the 2021 ACM/SIGDA Student Research Competition (Undergraduate Category)

Zizheng presented his research work at the 2021 ACM/SIGDA Student Research Competition held in conjunction with the ICCAD conference on November 2nd, 2021. He is awarded the gold medal (first place) in the undergraduate category and will represent SIGDA in the following ACM SRC Grand Finals contest.
Nov 3, 2021 1 min read

Zizheng is giving a talk on "GPU-Accelerated Static Timing Analysis" at ICCAD'20

Our work “GPU-Accelerated Static Timing Analysis” is accepted by ICCAD'20. Zizheng is going to give a talk at session 11B on November 5th, 2020. We will share our algorithms for accelerating graph-based STA using GPU-friendly algorithms on top of OpenTimer.
Nov 5, 2020 1 min read

Recent Publications

* indicates equal contribution.

Kexing Zhou*, Zizheng Guo*, Tsung-Wei Huang, Yibo Lin (2022). Efficient Critical Paths Search Algorithm using Mergeable Heap. 27th Asia and South Pacific Design Automation Conference (ASP-DAC) 2022.

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Zuodong Zhang, Zizheng Guo, Yibo Lin, Runsheng Wang, Ru Huang (2022). EventTimer: Fast and Accurate Event-Based Dynamic Timing Analysis. 2022 IEEE/ACM Design, Automation and Test in Europe (DATE).

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Zizheng Guo, Tsung-Wei Huang, Yibo Lin (2021). A Provably Good and Practically Efficient Algorithm for Common Path Pessimism Removal in Large Designs. 58th ACM/IEEE Design Automation Conference (DAC) 2021.

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Zizheng Guo, Tsung-Wei Huang, Yibo Lin (2021). HeteroCPPR: Accelerating Common Path Pessimism Removal with Heterogeneous CPU-GPU Parallelism. IEEE/ACM International Conference on Computer-Aided Design (ICCAD) 2021.

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Zizheng Guo*, Jing Mai*, Yibo Lin (2021). Ultrafast CPU/GPU Kernels for Density Accumulation in Placement. 58th ACM/IEEE Design Automation Conference (DAC) 2021.

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