Che Chang

UW-Madison

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I am a fourth-year PhD student at the ECE department of University of Wisconsin, Madison. My research focuses on high-performance graph algorithms.

news

May 07, 2026 Our paper “G-PathGen: An Efficient GPU-Parallel k-Critical Path Generation Algorithm” is accepted by 2026 ACM International Conference on Supercomputing (ICS)! Big thanks to all the contributors :grinning:
Sep 02, 2024 Our paper “PathGen: An Efficient Parallel Critical Path Generation Algorithm” is accepted by 2025 IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC)! Big thanks to all the contributors :grinning:
Feb 26, 2024 Our paper “Ink: Efficient Incremental k-Critical Path Generation” is accepted by 2024 ACM/IEEE Design Automation Conference (DAC)! Big thanks to all the contributors :grinning:

selected publications

  1. G-PathGen: An Efficient GPU-Parallel k-Critical Path Generation Algorithm
    Che Chang, Yi-Hua Chung, Cheng-Hsiang Chiu, and 6 more authors
    In ACM ICS, 2026
  2. PathGen: An Efficient Parallel Critical Path Generation Algorithm
    Che Chang, Boyang Zhang, Cheng-Hsiang Chiu, and 6 more authors
    In ACM/IEEE ASP-DAC, 2025
  3. Ink: Efficient Incremental k-Critical Path Generation
    Che Chang, Tsung-Wei Huang, Dian-Lun Lin, and 2 more authors
    In ACM/IEEE DAC, 2024
  4. G-PASTA: GPU-Accelerated Partitioning Algorithm for Static Timing Analysis
    Boyang Zhang, Dian-Lun Lin, Che Chang, and 6 more authors
    In ACM/IEEE DAC, 2024