PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph
Neural Network Training with Irregular Accesses

PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses

20 January 2021

Mert Hidayetouglu

Jinjun Xiong

Papers citing "PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses"

3 / 3 papers shown

Title
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research Arpandeep Khatua Vikram Sharma Mailthody Bhagyashree Taleka Tengfei Ma Xiang Song Wen-mei W. Hwu AI4CE 19 35 0 27 Feb 2023
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training Kezhao Huang Haitian Jiang Minjie Wang Guangxuan Xiao David Wipf Xiang Song Quan Gan Zengfeng Huang Jidong Zhai Zheng-Wei Zhang GNN 23 2 0 18 Jan 2023
MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks R. Waleffe J. Mohoney Theodoros Rekatsinas Shivaram Venkataraman GNN 11 24 0 04 Feb 2022