Iโm currently a PhD student in the NCSU Systems Lab department of Computer Science at NC State University advised by Prof. Frank Mueller. Prior to that, I earned my Master degree at Wuhan National Laboratory for Optoelectronics (WNLO) at Huazhong University of Science and Technology (HUST) under the supervise of Prof. Ke Zhou. And I receive my Bacholar degree at Hainan University.
My Research interest mainly focused on the System Architecture, High Performance Computer and Storage techniques (e.g. Persistent Memory and CXL memory).
๐ Motto
- ่ฏปไธๅทไนฆ ่กไธ้่ทฏ
- Gain wisdom through reading and broaden horizons through travel.
๐ฅ News
- 2025.12: ย ๐ Our work FitCache has been accepted to IPDPS 2026. See you in New Orleans!
- 2025.10: ย ๐ Passed the PhD Written Preliminary Exam. Thanks to everyone for the support!
- 2024.10: ย ๐ Poster accepted at SC 2024. Looking forward to presenting in Atlanta.
- 2023.08: ย ๐ Started my PhD journey at NC State University!
๐ Educations
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08/2023 โ Present, North Carolina State University, Raleigh, USA
Ph.D. candidate in Computer Science (Advisor: Prof. Frank Mueller) - 09/2019 โ 06/2023, Huazhong University of Science and Technology, Wuhan, China
M.Sc. in Computer System Architecture- Thesis: Research on Performance Anomaly Detection and Root Cause Analysis for Storage Systems in Data Centers
- Advisor: Prof. Ke Zhou
- Focus: Data Center, Storage System, Anomaly Detection, Root Cause Analysis, Machine Learning
- 09/2015 โ 06/2019, Hainan University, Haikou, China
B.Eng. in Computer Science and Technology
๐ Publications
* These authors contributed equally to this work.
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Guangxing Hu, Awais Khan, Christopher zimmer, Michael Brim, Frank Mueller.
โFitCache: A Transparent Drop-In Framework for Multi-Tier Caching to Accelerate Distributed Deep Learning Workloads.โ
IPDPS 2026, New Orleans, USA. -
Guangxing Hu, Awais Khan, Frank Mueller.
โA Zero-Copy Storage with Metadata-Driven File Management Using Persistent Memory.โ
SC Poster, 2024, Atlanta, USA. -
Yu Liu, Yunchuan Guan, Tianming Jiang, Ke Zhou, Hua Wang, Guangxing Hu, Ji Zhang, Wei Fang, Zhuo Cheng, Ping Huang.
โSPAE: Lifelong Disk Failure Prediction via End-to-End GAN-based Anomaly Detection with Ensemble Update.โ
Future Generation Computer Systems, 2023. -
Yanzhao Xie*, Guangxing Hu*, Yu Liu, Zhiqiu Lin, Ke Zhou, Yuhong Zhao.
โHow Visual Chirality Affects the Performance of Image Hashing.โ
Neural Computing and Applications, 2022. -
Yangtao Wang, Yanzhao Xie, Lisheng Fan, Guangxing Hu.
โSTMG: Swin transformer for multi-label image recognition with graph convolution network.โ
Neural Computing and Applications, 2021.
๐ Honors and Awards
- National Grand Prize of Massive Storage Algorithm Competition 2023
- Academic Scholarship of Huazhong University of Science and Technology 2019โ2022
- Grand Prize, Group Programming Ladder Tournament, China Collegiate Computing Contest 2018
- The Principal Scholarships of Hainan University (Top 2%) 2018
๐ป Internships
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2025.06 - 2025.08, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN, USA.
Designed FitCache, a multi-tier caching system for accelerating deep learning training. Implemented coordinated caching across memory and storage tiers to reduce data access latency, and evaluated the system at world-leading supercomputer Frontier. This work was presented at IPDPS 2026. -
2024.06 - 2024.08, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN, USA.
Extended the HVAC deep learning caching framework with a Persistent Memoryโbased cache tier, enabling zero-copy access via DAX. Deployed and debugged the system on Frontier and ARC clusters, addressing MPI and runtime issues across environments. Achieved preliminary I/O performance improvements and presented the work in an SC 2024 poster.
๐ฌ Talks
- 2025.08, Leveraging Memory Hierarchies for Scalable Caching in Deep Learning I/O on HPC Systems, Oak Ridge, TN, USA.