USENIX ATC ’19 - NeuGraph: Parallel Deep Neural Network Computation on Large Graphs

Lingxiao Ma and Zhi Yang, Peking University; Youshan Miao, Jilong Xue, Ming Wu, and Lidong Zhou, Microsoft Research; Yafei Dai, Peking University Recent deep learning models have moved beyond low dimensional regular grids such as image, video, and speech, to high-dimensional graph-structured data, such as social networks, e-commerce user-item graphs, and knowledge graphs. This evolution has led to large graph-based neural network models that go beyond what existing deep learning frameworks or graph computi