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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
Paul Chen
Pavan Manjunath
Sasindu Wijeratne
Bingyi Zhang
Viktor Prasanna
    GNN
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Papers citing "Exploiting On-chip Heterogeneity of Versal Architecture for GNN Inference Acceleration"

12 / 12 papers shown
Title
Dynasparse: Accelerating GNN Inference through Dynamic Sparsity
  Exploitation
Dynasparse: Accelerating GNN Inference through Dynamic Sparsity Exploitation
Bingyi Zhang
Viktor Prasanna
GNN
31
5
0
22 Mar 2023
GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN
  Inference
GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN Inference
Bingyi Zhang
Hanqing Zeng
Viktor Prasanna
GNN
57
16
0
02 Feb 2023
Accurate, Low-latency, Efficient SAR Automatic Target Recognition on
  FPGA
Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA
Bingyi Zhang
Rajgopal Kannan
Viktor Prasanna
Carl E. Busart
51
16
0
04 Jan 2023
Model-Architecture Co-Design for High Performance Temporal GNN Inference
  on FPGA
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA
Hongkuan Zhou
Bingyi Zhang
Rajgopal Kannan
Viktor Prasanna
Carl E. Busart
GNN
51
23
0
10 Mar 2022
HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator
  Design and Implementation
HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation
Hanchen Ye
Xiaofan Zhang
Zhize Huang
Gengsheng Chen
Deming Chen
67
61
0
08 Apr 2020
HyGCN: A GCN Accelerator with Hybrid Architecture
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
86
289
0
07 Jan 2020
GraphSAINT: Graph Sampling Based Inductive Learning Method
GraphSAINT: Graph Sampling Based Inductive Learning Method
Hanqing Zeng
Hongkuan Zhou
Ajitesh Srivastava
Rajgopal Kannan
Viktor Prasanna
GNN
137
963
0
10 Jul 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DH
GNN
3DPC
208
4,334
0
06 Mar 2019
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
222
7,623
0
01 Oct 2018
Link Prediction Based on Graph Neural Networks
Link Prediction Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
GNN
79
1,923
0
27 Feb 2018
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
460
15,179
0
07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
585
28,999
0
09 Sep 2016
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