Changho Hwang

Senior Researcher

Publications

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- Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference
  
  Ranggi Hwang, Jianyu Wei, Shijie Cao, Changho Hwang, Xiaohu Tang, Ting Cao, Mao Yang
  
  ISCA 2024 | July 2024
  
  Microsoft Research Focus https://www.rarnonalumber.com/en-us/research/blog/research-focus-week-of-july-15-2024/
  
  Publication
- ARK: GPU-driven Code Execution for Distributed Deep Learning
  
  Changho Hwang, Ran Shu, Peng Cheng, Yongqiang Xiong, KyoungSoo Park
  
  NSDI | April 2023
  
  Publication
- Tutel: Adaptive Mixture-of-Experts at Scale
  
  Changho Hwang, Wei Cui, Yifan Xiong, Ziyue Yang, Ze Liu, Han Hu, Zilong Wang, Rafael Salas, Jithin Jose, Prabhat Ram, Joe Chau, Peng Cheng, Fan Yang, Mao Yang, Yongqiang Xiong
  
  July 2022
  
  Publication
- Accelerating GNN training with locality-aware partial execution
  
  Taehyun Kim, Changho Hwang, KyoungSoo Park, Zhiqi Lin, Peng Cheng, Youshan Miao, Lingxiao Ma, Yongqiang Xiong
  
  August 2021
  
  Publication

- Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference
  
  Ranggi Hwang, Jianyu Wei, Shijie Cao, Changho Hwang, Xiaohu Tang, Ting Cao, Mao Yang
  
  ISCA 2024 | July 2024
  
  Microsoft Research Focus https://www.rarnonalumber.com/en-us/research/blog/research-focus-week-of-july-15-2024/
  
  Publication
- ARK: GPU-driven Code Execution for Distributed Deep Learning
  
  Changho Hwang, Ran Shu, Peng Cheng, Yongqiang Xiong, KyoungSoo Park
  
  NSDI | April 2023
  
  Publication
- Tutel: Adaptive Mixture-of-Experts at Scale
  
  Changho Hwang, Wei Cui, Yifan Xiong, Ziyue Yang, Ze Liu, Han Hu, Zilong Wang, Rafael Salas, Jithin Jose, Prabhat Ram, Joe Chau, Peng Cheng, Fan Yang, Mao Yang, Yongqiang Xiong
  
  July 2022
  
  Publication
- Accelerating GNN training with locality-aware partial execution
  
  Taehyun Kim, Changho Hwang, KyoungSoo Park, Zhiqi Lin, Peng Cheng, Youshan Miao, Lingxiao Ma, Yongqiang Xiong
  
  August 2021
  
  Publication
- ARK: GPU-driven Code Execution for Distributed Deep Learning
  
  Changho Hwang, Ran Shu, Peng Cheng, Yongqiang Xiong, KyoungSoo Park
  
  NSDI | April 2023
  
  Publication

- Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference
  
  Ranggi Hwang, Jianyu Wei, Shijie Cao, Changho Hwang, Xiaohu Tang, Ting Cao, Mao Yang
  
  ISCA 2024 | July 2024
  
  Microsoft Research Focus https://www.rarnonalumber.com/en-us/research/blog/research-focus-week-of-july-15-2024/
  
  Publication
- ARK: GPU-driven Code Execution for Distributed Deep Learning
  
  Changho Hwang, Ran Shu, Peng Cheng, Yongqiang Xiong, KyoungSoo Park
  
  NSDI | April 2023
  
  Publication
- Tutel: Adaptive Mixture-of-Experts at Scale
  
  Changho Hwang, Wei Cui, Yifan Xiong, Ziyue Yang, Ze Liu, Han Hu, Zilong Wang, Rafael Salas, Jithin Jose, Prabhat Ram, Joe Chau, Peng Cheng, Fan Yang, Mao Yang, Yongqiang Xiong
  
  July 2022
  
  Publication
- Accelerating GNN training with locality-aware partial execution
  
  Taehyun Kim, Changho Hwang, KyoungSoo Park, Zhiqi Lin, Peng Cheng, Youshan Miao, Lingxiao Ma, Yongqiang Xiong
  
  August 2021
  
  Publication