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 , 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


파라미터 수렴을 고려한 심층신경망 학습 (DAC '20, GTC '20 발표 내용)