Exploiting On-chip Heterogeneity of Versal Architecture for GNN
Inference Acceleration

Exploiting On-chip Heterogeneity of Versal Architecture for GNN Inference Acceleration

4 August 2023

Pavan Manjunath

Sasindu Wijeratne

Viktor Prasanna

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Papers citing "Exploiting On-chip Heterogeneity of Versal Architecture for GNN Inference Acceleration"

17 / 17 papers shown

Title
Dynasparse: Accelerating GNN Inference through Dynamic Sparsity Exploitation Bingyi Zhang Viktor Prasanna GNN 35 5 0 22 Mar 2023
GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN Inference Bingyi Zhang Hanqing Zeng Viktor Prasanna GNN 91 19 0 02 Feb 2023
Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA Bingyi Zhang Rajgopal Kannan Viktor Prasanna Carl E. Busart 63 16 0 04 Jan 2023
Triple Sparsification of Graph Convolutional Networks without Sacrificing the Accuracy Md. Khaledur Rahman A. Azad GNN 80 7 0 06 Aug 2022
H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture Chengming Zhang Tong Geng Anqi Guo Jiannan Tian Martin C. Herbordt Ang Li Dingwen Tao GNN 48 30 0 28 Jun 2022
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA Hongkuan Zhou Bingyi Zhang Rajgopal Kannan Viktor Prasanna Carl E. Busart GNN 63 23 0 10 Mar 2022
GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs Yuke Wang Boyuan Feng Gushu Li Shuangchen Li Lei Deng Yuan Xie Yufei Ding GNN 108 124 0 11 Jun 2020
HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation Hanchen Ye Xiaofan Zhang Zhize Huang Gengsheng Chen Deming Chen 85 61 0 08 Apr 2020
HyGCN: A GCN Accelerator with Hybrid Architecture Yurui Lai Lei Deng Xing Hu Ling Liang Yujing Feng Xiaochun Ye Zhimin Zhang Xiaochun Ye Yuan Xie GNN 89 295 0 07 Jan 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... Jiaqi Zhao Haotong Zhang Alex Smola Jinyang Li Zheng Zhang AI4CE GNN 293 760 0 03 Sep 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor Prasanna GNN 139 969 0 10 Jul 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 247 4,368 0 06 Mar 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 250 3,184 0 19 Feb 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 261 7,705 0 01 Oct 2018
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 112 1,945 0 27 Feb 2018
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 516 15,369 0 07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 679 29,183 0 09 Sep 2016

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