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ORCIDJae-Won Chung
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2020 – today
- 2024
[c3]Jae-Won Chung
, Yile Gu, Insu Jang, Luoxi Meng, Nikhil Bansal, Mosharaf Chowdhury:
Reducing Energy Bloat in Large Model Training. SOSP 2024: 144-159- [i6]Jae-Won Chung, Mosharaf Chowdhury:
Toward Cross-Layer Energy Optimizations in Machine Learning Systems. CoRR abs/2404.06675 (2024) - [i5]Jiachen Liu, Zhiyu Wu, Jae-Won Chung, Fan Lai, Myungjin Lee, Mosharaf Chowdhury:
Andes: Defining and Enhancing Quality-of-Experience in LLM-Based Text Streaming Services. CoRR abs/2404.16283 (2024) - 2023
- [c2]Jie You, Jae-Won Chung, Mosharaf Chowdhury:
Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training. NSDI 2023: 119-139 - [i4]Zhenning Yang, Luoxi Meng, Jae-Won Chung, Mosharaf Chowdhury:
Chasing Low-Carbon Electricity for Practical and Sustainable DNN Training. CoRR abs/2303.02508 (2023) - [i3]Jae-Won Chung, Yile Gu, Insu Jang, Luoxi Meng, Nikhil Bansal, Mosharaf Chowdhury:
Perseus: Removing Energy Bloat from Large Model Training. CoRR abs/2312.06902 (2023) - 2022
- [i2]Jie You, Jae-Won Chung, Mosharaf Chowdhury:
Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training. CoRR abs/2208.06102 (2022) - 2020
- [c1]Jae-Won Chung, Jae-Yun Kim, Soo-Mook Moon:
ShadowTutor: Distributed Partial Distillation for Mobile Video DNN Inference. ICPP 2020: 8:1-8:11 - [i1]Jae-Won Chung, Jae-Yun Kim, Soo-Mook Moon:
ShadowTutor: Distributed Partial Distillation for Mobile Video DNN Inference. CoRR abs/2003.10735 (2020)
Coauthor Index
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