📝 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. 🌐 ❞

@inproceedings{lin2025forest,
author = {Lin, Mao and Feng, Yuan and Cox, Guilherme and Jeon, Hyeran},
title = {Forest: Access-aware GPU UVM Management},
year = {2025},
isbn = {9798400712616},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3695053.3731047},
doi = {10.1145/3695053.3731047},
booktitle = {Proceedings of the 52nd Annual International Symposium on Computer Architecture},
pages = {137–152},
numpages = {16},
keywords = {Unified Virtual Memory, Prefetching, GPU, Memory Management},
location = {
},
series = {ISCA '25}
}
  

[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{lin2023drgpum,
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}}