NSDI '23 - BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing

BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing

Tianfeng Liu, Tsinghua University, Zhongguancun Laboratory, ByteDance; Yangrui Chen, The University of Hong Kong, ByteDance; Dan Li, Tsinghua University, Zhongguancun Laboratory; Chuan Wu, The University of Hong Kong; Yibo Zhu, Jun He, and Yanghua Peng, ByteDance; Hongzheng Chen, ByteDance, Cornell University; Hongzhi Chen and Chuanxiong Guo, ByteDance

Graph neural networks (GNNs) have extended the success of deep neural networks (DNNs) to non-Euclidean graph data, achieving ground-breaking performance on various …

bytedance chen dan data data i gpu hong kong kong training tsinghua university university