Search Results for author:
Found 2 papers, 0 papers with code
Failure Tolerant Training with Persistent Memory Disaggregation over CXL
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.
Hardware/Software Co-Programmable Framework for Computational SSDs to Accelerate Deep Learning Service on Large-Scale Graphs
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.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
