Yafan Huang | University of Iowa

About Me

I am a Ph.D. candidate in Computer Science from the University of Iowa (2021 - 2026), where I was advised by Guanpeng Li. I am also a visiting graduate student in Argonne National Laboratory advised by Sheng Di and Franck Cappello (2021-2026). Before coming to UIowa, I earned my Master’s degree in Computer Science from Huazhong University of Science and Technology (2018 - 2021) , and my Bachelor’s degree in Software Engineering from Hunan University (2014 - 2018).

My research generally lies in High-Performance Computing (HPC), with a specific focus on:

Data Compression: GPU Compression, In-situ Compression, Compression for Science
Fault Tolerance: HPC Resilience, Software-directed Fault Tolerance
Parallel Computing: Massive Parallelism, Parallel Reduction, Data-flow Architecture
Compiler Optimization: Program Analysis, Code Transformation, IR Optimization

I developed and currently maintain cuSZp, an ultra-fast GPU compression framework designed to tackle big data challenges with high-speed requirements. If you’re working with large-scale data and need efficient compression, please feel free to explore the GitHub repository and give it a try!

Selected Publications

SC'25

GPU Lossy Compression for HPC Can Be Versatile and Ultra-fast

Yafan Huang, Sheng Di, Guanpeng Li, and Franck Cappello

[SC'25] International Conference for High Performance Computing, Networking, Storage and Analysis

SC'25

lsCOMP: Efficient Light Source Compression

Yafan Huang, Sheng Di, Robert Underwood, Peco Myint, Miaoqi Chu, Guanpeng Li, Nicholas Schwarz, and Franck Cappello

[SC'25] International Conference for High Performance Computing, Networking, Storage and Analysis

SC'24

cuSZp2: A GPU Lossy Compressor with Extreme Throughput and Optimized Compression Ratio

Yafan Huang, Sheng Di, Guanpeng Li, and Franck Cappello

[SC'24] International Conference for High Performance Computing, Networking, Storage and Analysis

Best Student Paper Finalist, SCC Reproducibility Challenge Finalist

SC'24

Versatile Datapath Soft Error Detection on the Cheap for HPC Applications

Yafan Huang, Sheng Di, Zhaorui Zhang, Xiaoyi Lu, and Guanpeng Li

[SC'24] International Conference for High Performance Computing, Networking, Storage and Analysis

ISSRE'23

Characterizing Runtime Performance Variation in Error Detection by Duplicating Instructions

Yafan Huang*, Zhengyang He*, Lingda Li, and Guanpeng Li

[ISSRE'23] The 34th IEEE International Symposium on Software Reliability Engineering

SC'23

cuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance

Yafan Huang, Sheng Di, Xiaodong Yu, Guanpeng Li, and Franck Cappello

[SC'23] International Conference for High Performance Computing, Networking, Storage and Analysis

CCGrid'23

Towards Improving Reverse Time Migration Performance by High-speed Lossy Compression

Yafan Huang, Kai Zhao, Sheng Di, Guanpeng Li, Maxim Dmitriev, Thierry-Laurent D. Tonellot, and Franck Cappello

[CCGrid'23] IEEE/ACM International Symposium on Cluster Computing and the Grid

SC'22

Mitigating Silent Data Corruptions in HPC Applications across Multiple Program Inputs

Yafan Huang, Shengjian Guo, Sheng Di, Guanpeng Li, and Franck Cappello

[SC'22] International Conference for High Performance Computing, Networking, Storage and Analysis

Best Paper Finalist, Best Student Paper Finalist