Research Papers

Pre-Trained Models in Deep Learning Team, advised by Dr. James Davis

†: Equal Contribution; ‡: Corresponding Author


Pre-Prints/Under Review

  • Large Language Models for Energy Efficient Code Optimization

    Huiyun Peng, Arjun Gupte, Nicholas John Eliopoulos, Chien Chou Ho, Rishi Mantri, Leo Deng, Wenxin Jiang, Yung-Hsiang Lu, Konstantin Läufer, George K. Thiruvathukal, and James C. Davis.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), Seoul, South Korea, 16-20 November, 2025., To be Submitted in May 2025.


Research Talks and Poster Presentations

Delivered at various Purdue Research Conferences

[Fall 2024 Undergraduate Research Expo] Optimizing LLMs for Energy Efficient Software: Emerging Results and Future Directions

November 19, 2024

[Fall 2024 Undergraduate Research Expo] Optimizing LLMs for Energy Efficient Software: Emerging Results and Future Directions

November 19, 2024

[Fall 2024 Undergraduate Research Expo] Optimizing LLMs for Energy Efficient Software: Emerging Results and Future Directions

November 19, 2024

[Spring 2024 Undergraduate Research Symposium] Optimizing Data Center Software for Energy Efficiency Using LLMs

April 9, 2024

[Spring 2024 Undergraduate Research Symposium] Optimizing Data Center Software for Energy Efficiency Using LLMs

April 9, 2024

[Spring 2024 Undergraduate Research Symposium] Optimizing Data Center Software for Energy Efficiency Using LLMs

April 9, 2024