I am currently a graduate student at UC Merced, very grateful to be working with Prof. Hyeran Jeon. Prior to this, I received my M.S. degree in Software Engineering and my B.E. degree in Computer Science from Shandong University, where I was very fortunate to work with Prof. Lei Ju.

My research interests covers heterogeneous computer architecture and systems, high-performance/parallel computing (CUDA), as well as static and dynamic program analysis and optimization.

💻 Experiences

• 05/2023 - 11/2023, Research Intern, ByteDance, Seattle/San Jose, CA/WA, USA
  • Mentor: Ziheng Jiang, Haibin Lin
  • Analyzing and optimizing GPU memory wastage and fragmentation in large language model (LLM) training.
• 11/2022 - 02/2023, Part-time internship of software engineer, Uber, Sunnyvale, CA, USA
  • Mentor: Milind Chabbi
  • Detecting and fixing data races in Uber’s Golang code base.
• 06/2022 - 08/2022, Research Intern, PNNL, Richland, WA, USA
  • Mentor: Ang Li
  • Detecting floating-point data overflow of GPU-accelerated applications.

📝 Publications

[ISCA’25] Mao Lin, Yuan Feng, Guilherme Cox and Hyeran Jeon. “Forest: Access-aware GPU UVM Management”. The 52nd Annual International Symposium on Computer Architecture (ISCA), June 21–25, 2025, Tokyo, Japan. (To appear)

[EuroMLSys’25] Mao Lin and Hyeran Jeon. The 5th Workshop on Machine Learning and Systems, March 30–April 3, 2025, Rotterdam, Netherlands. “Understanding Oversubscribed Memory Management for Deep Learning Training”. 🌐 💬 ❞

@inproceedings{lin2025understanding,
author = {Lin, Mao and Jeon, Hyeran},
title = {Understanding Oversubscribed Memory Management for Deep Learning Training},
year = {2025},
isbn = {9798400715389},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3721146.3721955},
doi = {10.1145/3721146.3721955},
booktitle = {Proceedings of the 5th Workshop on Machine Learning and Systems},
pages = {46–55},
numpages = {10},
keywords = {GPU, unified virtual memory, performance analysis, DNN, LLM},
location = {World Trade Center, Rotterdam, Netherlands},
series = {EuroMLSys '25}
}
  

[ASPLOS’23] Mao Lin, Keren Zhou, and Pengfei Su. “DrGPUM: Guiding Memory Optimization for GPU-accelerated Applications”. The 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Mar 25-29, 2023, Vancouver, BC, Canada. 🌐 🔗 💬 ❞

@inproceedings{lin2025drgpum,
author = {Lin, Mao and Zhou, Keren and Su, Pengfei},
title = {DrGPUM: Guiding Memory Optimization for GPU-Accelerated Applications},
year = {2023},
isbn = {9781450399180},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3582016.3582044},
doi = {10.1145/3582016.3582044},
booktitle = {Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3},
pages = {164–178},
numpages = {15},
keywords = {CUDA, GPU profilers, GPUs, Memory management},
location = {Vancouver, BC, Canada},
series = {ASPLOS 2023}
}
  

[PyTorch Conference’22] Mao Lin, Keren Zhou, and Pengfei Su. “Poster: Squeezing GPU Memory Usage in PyTorch”. Dec. 2022, New Orleans, LA, USA. 🌐

[TCAD’22] Zelin Du, Qianling Zhang, Mao Lin, Shiqing Li, Xin Li, and Lei Ju. “A comprehensive memory management framework for CPU-FPGA heterogenous SoCs”. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2022). 🌐 ❞

@ARTICLE{9790045,
  author={Du, Zelin and Zhang, Qianling and Lin, Mao and Li, Shiqing and Li, Xin and Ju, Lei},
  journal={IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems}, 
  title={A Comprehensive Memory Management Framework for CPU-FPGA Heterogenous SoCs}, 
  year={2023},
  volume={42},
  number={4},
  pages={1058-1071},
  doi={10.1109/TCAD.2022.3179323}}
  

💬 Talks

• 03/2025, Present EuroMLSys’25 paper in Rotterdam, Netherlands
• 04/2023, Present DrGPUM at the 1st UC Merced EECS Research Symposium
• 03/2023, Present ASPLOS’23 paper
• 12/2022, Present PyTorch Conference’22 poster in New Orleans, LA, USA

👔 Professional Services

• Artifact Evaluation Committee: PPoPP’23, ASPLOS’24, ISCA’25
• External Reviewer: GPGPU’25

📚 Teaching

• Teaching Assistant of Computer Architecture (CSE 140)2024 Spring, 2025 Spring
• Teaching Assistant of Intro to Programming Laboratory Skills/Techniques (CSE 022)2023 Spring
• Teaching Assistant of Data Structure (CSE 030)2022 Spring
• Teaching Assistant of Advanced Programming (CSE 024)2021 Fall, 2024 Fall
• Teaching Assistant of Intro to Object Orient Program (CSE 165)2021 Fall

🧩 Skills

• Languages:  C/C++; Python; CUDA; Go; Java; Shell; html; CSS; JSON
• Platforms:  Linux; CPU-GPU HMPSoCs; CPU-FPGA HMPSoCs
• Frameworks:  PyTorch; TensorFlow; Darknet
• Toolchains:  Nsight Systems; Linux perf; GDB; Git; Xilinx Vivado Suite