Welcome to Machine Learning Systems Lab

In Machine Learning Systems Lab, we investigate programmability, scalability,  manageability, and performance of machine learning systems. We optimize the performance of existing machine learning systems such as Tensorflow, PyTorch, Megatron and vLLM, as well as big data systems such as Hadoop. We investigate various trade-offs (such as performance and accuracy) in existing systems. We also work on security aspect of machine learning models and systems. See Research Page for the list of the research topics.

Research Topics include  (연구 주제):

  자세한 내용은 Research Page 참고

News:

아래는 우리 연구실에서 개발한 LLM 추론 최적화 기법(ASPLOS'24)을 설명한 동영상 입니다 (영어 발표를 한국어로 자동으로 번역하여 일부 부자연스러운 설명이 있음).