Dongxu Yang

Dongxu Yang received his B.S. and M.S. degrees from Tsinghua University, China in 2008 and 2011, respectively. He is currently working at NVIDIA. His research interests include parallel computing, optimizations, distributed system, computer architecture, and machine learning.
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Posts by Dongxu Yang

Decorative image of graphs as light web.
Data Science

Optimizing Memory and Retrieval for Graph Neural Networks with WholeGraph, Part 2

Large-scale graph neural network (GNN) training presents formidable challenges, particularly concerning the scale and complexity of graph data. These challenges... 5 MIN READ
An illustration representing WholeGraph.
Data Science

Optimizing Memory and Retrieval for Graph Neural Networks with WholeGraph, Part 1

Graph neural networks (GNNs) have revolutionized machine learning for graph-structured data. Unlike traditional neural networks, GNNs are good at capturing... 9 MIN READ