GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for
Graph Neural Networks

GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks

7 July 2020

Papers citing "GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks"

12 / 12 papers shown

Title
RDMA-Based Algorithms for Sparse Matrix Multiplication on GPUs Benjamin Brock A. Buluç Katherine Yelick 18 2 0 29 Nov 2023
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks Xiaoru Xie Hongwu Peng Amit Hasan Shaoyi Huang Jiahui Zhao Haowen Fang Wei Zhang Tong Geng O. Khan Caiwen Ding GNN 30 30 0 22 Aug 2023
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs Yangjie Zhou Yaoxu Song Jingwen Leng Zihan Liu Weihao Cui Zhendong Zhang Cong Guo Quan Chen Li-Wei Li Minyi Guo GNN 22 1 0 27 May 2023
STen: Productive and Efficient Sparsity in PyTorch Andrei Ivanov Nikoli Dryden Tal Ben-Nun Saleh Ashkboos Torsten Hoefler 30 4 0 15 Apr 2023
PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs Chunyang Wang Desen Sun Yunru Bai GNN AI4CE 39 15 0 01 Jan 2023
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations Zirui Liu Sheng-Wei Chen Kaixiong Zhou Daochen Zha Xiao Huang Xia Hu 29 14 0 19 Oct 2022
Sgap: Towards Efficient Sparse Tensor Algebra Compilation for GPU Genghan Zhang Yuetong Zhao Yanting Tao Zhongming Yu Guohao Dai Sitao Huang Yuanyuan Wen Pavlos Petoumenos Yu Wang 41 4 0 07 Sep 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 32 56 0 19 May 2022
GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks Ranggi Hwang M. Kang Jiwon Lee D. Kam Youngjoo Lee Minsoo Rhu GNN 11 20 0 01 Mar 2022
AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive Crossbars Bo Lyu Shengbo Wang S. Wen Kaibo Shi Yin Yang Lingfang Zeng Tingwen Huang 19 2 0 15 Nov 2021
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction Zhaocheng Zhu Zuobai Zhang Louis-Pascal Xhonneux Jian Tang GNN 19 296 0 13 Jun 2021
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... J. Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 192 744 0 03 Sep 2019