Hyperscale FPGA-as-a-service architecture for large-scale distributed graph neural network

Shuangchen Li; Dimin Niu; Yuhao Wang; Wei Han; Zhe Zhang; Tianchan Guan; Yijin Guan; Heng Liu; Linyong Huang; Zhaoyang Du; Fei Xue; Yuanwei Fang; Hongzhong Zheng; Yuan Xie

doi:10.1145/3470496.3527439

ISCA2022顶会

Hyperscale FPGA-as-a-service architecture for large-scale distributed graph neural network

Shuangchen Li, Dimin Niu, Yuhao Wang, Wei Han, Zhe Zhang, Tianchan Guan, Yijin Guan, Heng Liu, Linyong Huang, Zhaoyang Du, Fei Xue, Yuanwei Fang

DOI 出版方

2022年份

30被引次数

7顶会引用

摘要

Graph neural network (GNN) is a promising emerging application for link prediction, recommendation, etc. Existing hardware innovation is limited to single-machine GNN (SM-GNN), however, the enterprises usually adopt huge graph with large-scale distributed GNN (LSD-GNN) that has to be carried out with distributed in-memory storage. The LSD-GNN is very different from SM-GNN in terms of system architecture demand, workflow and operators, and hence characterizations.