Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training J You*, JW Chung*, M Chowdhury USENIX NSDI, 2023 | 88 | 2023 |
Andes: Defining and Enhancing Quality-of-Experience in LLM-Based Text Streaming Services J Liu, JW Chung, Z Wu, F Lai, M Lee, M Chowdhury arXiv preprint arXiv:2404.16283, 2024 | 12 | 2024 |
Reducing Energy Bloat in Large Model Training JW Chung, Y Gu, I Jang, L Meng, N Bansal, M Chowdhury ACM SOSP, 2024 | 9 | 2024 |
ShadowTutor: Distributed partial distillation for mobile video DNN inference JW Chung, JY Kim, SM Moon ACM ICPP, 2020 | 5 | 2020 |
Chasing Low-Carbon Electricity for Practical and Sustainable DNN Training Z Yang, L Meng, JW Chung, M Chowdhury ICLR Workshop: Tackling Climate Change with Machine Learning, 2023 | 1 | 2023 |
Toward Cross-Layer Energy Optimizations in AI Systems JW Chung, N Talati, M Chowdhury DoE ASCR Energy Efficient Computing for Science Workshop, 2024 | | 2024 |
ML.ENERGY Leaderboard JW Chung, J Liu, Z Wu, Y Xia, M Chowdhury https://ml.energy/leaderboard, 2023 | | 2023 |