G-STAR: GPU-Accelerated Statistical Static Timing Analysis using Level-by-level Replication

Jun 1, 2026·
Boyang Zhang
,
Chih-Chun Chang
Yi-Hua Chung
Yi-Hua Chung
,
Che Chang
,
Cheng-Hsiang Chiu
,
Aditya Das Sarma
,
Tsung-Wei Huang
· 0 min read
Type
Publication
International European Conference on Parallel and Distributed Computing (Euro-Par), Pisa, Italy, 2026
publications
Yi-Hua Chung
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.