I’m 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).
🌎 Motto
- 读万卷书 行万里路
- Gain wisdom through reading and broaden horizons through travel.
🔥 News
- 2024.10: 🎉🎉 Excited to share that my poster has been accepted for SC 2024! Looking forward to attending the conference in Atlanta.
- 2023.08: 🎉🎉 Began my PhD journey at NC State University!
📖 Educations
-
08/2023 – Present, North Carolina State University, Raleigh, NC
Ph.D. candidate in Computer Science (Advisor: Prof. Frank Mueller) - 09/2019 – 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 – 06/2019, Hainan University, Haikou, China
B.Eng. in Computer Science and Technology
📝 Publications
Poster
- Guangxing Hu, Awais Khan, Frank Mueller.
“A Zero-Copy Storage with Metadata-Driven File Management Using Persistent Memory.”
SC, 2024.
Publications
-
Yu Liu, Yunchuan Guan, Tianming Jiang, Ke Zhou, Hua Wang, Guangxing Hu, Ji Zhang, Wei Fang, Zhuo Cheng, Ping Huang.
“SPAE: Lifelong Disk Failure Prediction via End-to-End GAN-based Anomaly Detection with Ensemble Update.”
Future Generation Computer Systems, 2023. -
Yanzhao Xie, Guangxing Hu, Yu Liu, Zhiqiu Lin, Ke Zhou, Yuhong Zhao.
“How Visual Chirality Affects the Performance of Image Hashing.”
Neural Computing and Applications, 2022. -
Yangtao Wang, Yanzhao Xie, Lisheng Fan, Guangxing Hu.
“STMG: Swin transformer for multi-label image recognition with graph convolution network.”
Neural Computing and Applications, 2021.
🎖 Honors and Awards
- National Grand Prize of Massive Storage Algorithm Competition 2023
- Academic Scholarship of Huazhong University of Science and Technology 2019–2022
- Grand Prize, Group Programming Ladder Tournament, China Collegiate Computing Contest 2018
- The Principal Scholarships of Hainan University (Top 2%) 2018
- The Most Innovative and Outstanding Student Award of Hainan University 2018
- The Second Scholarships of Hainan University 2016, 2017
💻 Internships
- 2024.06 - 2024.08, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN, USA.
During my internship at ORNL, I focused on enhancing high-performance computing (HPC) capabilities for large-scale deep learning training. Specifically, I worked on extending the HVAC framework—a caching system originally designed to utilize node-local SSD storage for data-intensive workloads—by integrating Persistent Memory (PM) to reduce I/O overhead through zero-copy access. This involved:
- Migrating and Debugging Code: I set up and debugged the HVAC runtime environment on both ORNL’s Frontier supercomputer and NC State University’s ARC cluster, resolving MPI dependencies and configuration issues to enable consistent, multi-site functionality.
- Developing a PM-Backed Caching Layer: By leveraging the byte-addressability of PM, I introduced a new cache tier that further accelerates deep learning training while reducing unnecessary data transfers. A key aspect was using the Direct Access (DAX) mode on PM, which allows for faster read/write speeds compared to SSDs or file systems built on top of PM. The details of this work can be seen at my Github.
- Preliminary Results and SC Poster: Preliminary benchmarks demonstrated significant improvements in I/O performance, and these findings were consolidated into a poster—A Zero-Copy Storage with Metadata-Driven File Management Using Persistent Memory—accepted at SC 2024.