no code implementations • 14 Jan 2023 • Miryeong Kwon, Junhyeok Jang, Hanjin Choi, Sangwon Lee, Myoungsoo Jung
This paper proposes TRAININGCXL that can efficiently process large-scale recommendation datasets in the pool of disaggregated memory while making training fault tolerant with low overhead.
no code implementations • 23 Jan 2022 • Miryeong Kwon, Donghyun Gouk, Sangwon Lee, Myoungsoo Jung
In contrast to traditional deep learning, unique behaviors of the emerging GNNs are engaged with a large set of graphs and embedding data on storage, which exhibits complex and irregular preprocessing.