Optimizing Sparse Matrix Multiplications for Graph Neural Networks

Optimizing Sparse Matrix Multiplications for Graph Neural Networks

30 October 2021

Zheng Wang

Papers citing "Optimizing Sparse Matrix Multiplications for Graph Neural Networks"

7 / 7 papers shown

Title
iSpLib: A Library for Accelerating Graph Neural Networks using Auto-tuned Sparse Operations Md Saidul Hoque Anik Pranav Badhe Rohit Gampa Ariful Azad AI4CE 19 3 0 21 Mar 2024
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness Guibin Zhang Xinfeng Li Kun Wang Junfeng Fang Yongduo Sui Kai Wang Keli Zhang Dawei Cheng Shirui Pan Tianlong Chen 27 10 0 02 Feb 2024
SENSEi: Input-Sensitive Compilation for Accelerating GNNs Damitha Sandeepa Lenadora Vimarsh Sathia Gerasimos Gerogiannis Serif Yesil Josep Torrellas Charith Mendis GNN 28 1 0 27 Jun 2023
Auto-SpMV: Automated Optimizing SpMV Kernels on GPU Mina Ashoury Mohammad Loni F. Khunjush Masoud Daneshtalab 23 1 0 11 Feb 2023
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 34 56 0 19 May 2022
Dynamic GPU Energy Optimization for Machine Learning Training Workloads Farui Wang Weizhe Zhang Shichao Lai Meng Hao Zheng Wang 24 30 0 05 Jan 2022
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... Jun Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 206 747 0 03 Sep 2019