QGTC: Accelerating Quantized Graph Neural Networks via GPU Tensor Core

QGTC: Accelerating Quantized Graph Neural Networks via GPU Tensor Core

18 November 2021

Papers citing "QGTC: Accelerating Quantized Graph Neural Networks via GPU Tensor Core"

15 / 15 papers shown

Title
FastCHGNet: Training one Universal Interatomic Potential to 1.5 Hours with 32 GPUs Yuanchang Zhou Siyu Hu Chen Wang Lin-Wang Wang Guangming Tan Weile Jia AI4CE GNN 43 0 0 30 Dec 2024
HC-SpMM: Accelerating Sparse Matrix-Matrix Multiplication for Graphs with Hybrid GPU Cores Zhonggen Li Xiangyu Ke Yifan Zhu Yunjun Gao Yaofeng Tu 66 0 0 12 Dec 2024
Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers Zhengang Li Alec Lu Yanyue Xie Zhenglun Kong Mengshu Sun ... Peiyan Dong Caiwen Ding Yanzhi Wang Xue Lin Zhenman Fang 20 5 0 25 Jul 2024
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training Renjie Liu Yichuan Wang Xiao Yan Zhenkun Cai Minjie Wang Haitian Jiang Bo Tang Jinyang Li GNN 34 2 0 08 May 2024
DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks Fahao Chen Peng Li Celimuge Wu GNN 21 3 0 07 Sep 2023
Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message Propagation Shuang Wang B. Eravcı Rustam Guliyev Hakan Ferhatosmanoglu GNN MQ 19 6 0 29 Aug 2023
Tango: rethinking quantization for graph neural network training on GPUs Shiyang Chen Da Zheng Caiwen Ding Chengying Huan Yuede Ji Hang Liu GNN MQ 23 5 0 02 Aug 2023
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey Jana Vatter R. Mayer Hans-Arno Jacobsen GNN AI4TS AI4CE 31 23 0 23 May 2023
Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication Mengdie Zhang Qi Hu Peng Sun Yonggang Wen Tianwei Zhang GNN 32 4 0 02 Mar 2023
AcceRL: Policy Acceleration Framework for Deep Reinforcement Learning Hongjie Zhang OffRL 10 0 0 28 Nov 2022
Distributed Graph Neural Network Training: A Survey Yingxia Shao Hongzheng Li Xizhi Gu Hongbo Yin Yawen Li Xupeng Miao Wentao Zhang Bin Cui Lei Chen GNN AI4CE 11 53 0 01 Nov 2022
Global Counterfactual Explainer for Graph Neural Networks Mert Kosan Zexi Huang Sourav Medya Sayan Ranu Ambuj K. Singh 19 47 0 21 Oct 2022
SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning Zihao Ye Ruihang Lai Junru Shao Tianqi Chen Luis Ceze 76 91 0 11 Jul 2022
TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs Yuke Wang Boyuan Feng Zheng Wang Guyue Huang Yufei Ding GNN 10 26 0 03 Dec 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 189 743 0 03 Sep 2019