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2020 – today
- 2024
[i4]Xiaoxuan Liu, Cade Daniel, Langxiang Hu, Woosuk Kwon, Zhuohan Li, Xiangxi Mo, Alvin Cheung, Zhijie Deng, Ion Stoica, Hao Zhang:
Optimizing Speculative Decoding for Serving Large Language Models Using Goodput. CoRR abs/2406.14066 (2024)- 2023
- [c6]Zongheng Yang, Zhanghao Wu, Michael Luo, Wei-Lin Chiang, Romil Bhardwaj, Woosuk Kwon, Siyuan Zhuang, Frank Sifei Luan, Gautam Mittal, Scott Shenker, Ion Stoica:
SkyPilot: An Intercloud Broker for Sky Computing. NSDI 2023: 437-455 - [c5]Woosuk Kwon
, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph Gonzalez, Hao Zhang, Ion Stoica:
Efficient Memory Management for Large Language Model Serving with PagedAttention. SOSP 2023: 611-626 - [i3]Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph E. Gonzalez, Hao Zhang, Ion Stoica:
Efficient Memory Management for Large Language Model Serving with PagedAttention. CoRR abs/2309.06180 (2023) - 2022
- [c4]Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Woosuk Kwon, Joseph Hassoun, Kurt Keutzer:
Learned Token Pruning for Transformers. KDD 2022: 784-794 - [c3]Woosuk Kwon, Sehoon Kim, Michael W. Mahoney, Joseph Hassoun, Kurt Keutzer, Amir Gholami:
A Fast Post-Training Pruning Framework for Transformers. NeurIPS 2022 - [i2]Woosuk Kwon, Sehoon Kim, Michael W. Mahoney, Joseph Hassoun, Kurt Keutzer, Amir Gholami:
A Fast Post-Training Pruning Framework for Transformers. CoRR abs/2204.09656 (2022) - 2020
- [c2]Yeonhong Park, Woosuk Kwon, Eojin Lee, Tae Jun Ham, Jung Ho Ahn, Jae W. Lee:
Graphene: Strong yet Lightweight Row Hammer Protection. MICRO 2020: 1-13 - [c1]Woosuk Kwon, Gyeong-In Yu, Eunji Jeong, Byung-Gon Chun:
Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning. NeurIPS 2020 - [i1]Woosuk Kwon, Gyeong-In Yu, Eunji Jeong, Byung-Gon Chun:
Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning. CoRR abs/2012.02732 (2020)
2010 – 2019
- 2016
- [j1]Woosuk Kwon, Jaeho Hwang, Hyun-Koo Yang, Sunghee Hwang, Kazuyuki Takahashi, Lachlan Michael:
The ATSC Link-layer Protocol (ALP): Design and Efficiency Evaluation. IEEE Trans. Broadcast. 62(1): 316-327 (2016)
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