In Deep Learning & Big Data Systems Lab, we investigate programmability, scalability, manageability, and performance of deep learning & big data systems. We study improving existing deep learning systems such as Tensorflow or PyTorch, 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 deep learning models and systems. See Research Page for the (partial) list of research projects.
Research Topics include (연구 주제):
Research Topics include (연구 주제):
- Large-Scale Deep Learning System 대용량 딥 러닝 시스템
- Deep Learning System Security 딥러닝 시스템 보안
- Trade-Offs in Deep Learning Model 딥러닝 모델 트레이드 오프 (성능/정확도)
- Big Data Systems 빅 데이터 시스템
- Big Data/Graph Mining and Analysis 빅 데이터/그래프 분석