Shihui Song

Rethinking graph data placement for graph neural network training on multiple GPUs

2022

Graph partitioning is commonly used for dividing graph data for parallel processing. While they achieve good performance for the traditional graph processing algorithms, the existing graph partitioning methods are unsatisfactory for data-parallel GNN training on …