G-STAR: GPU-Accelerated Statistical Static Timing Analysis using Level-by-level Replication
Jun 1, 2026·,
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0 min read
Boyang Zhang
Chih-Chun Chang
Yi-Hua Chung
Che Chang
Cheng-Hsiang Chiu
Aditya Das Sarma
Tsung-Wei Huang
Type
Publication
International European Conference on Parallel and Distributed Computing (Euro-Par), Pisa, Italy, 2026

Authors
Yi-Hua Chung
(she/her)
Ph.D. Student
I am a fourth-year Ph.D. student in the Department of Electrical and Computer Engineering at UW-Madison, advised by Prof. Tsung-Wei (TW) Huang. My research focuses on GPU-accelerated algorithms for compiler optimization, graph partitioning, and design automation applications.
I developed SimPart, a GPU-parallel graph partitioner for logic simulation by integrating disjoint-set and replication-aided strategies, further optimized with conditional CUDA Graphs. I also collaborate with Synopsys to develop GPU-parallel algorithms for gate sizing in an industrial-use EDA tool.