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Model-Architecture Co-Design for High Performance Temporal GNN Inference
  on FPGA

Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA

10 March 2022
Hongkuan Zhou
Bingyi Zhang
R. Kannan
Viktor Prasanna
Carl E. Busart
    GNN
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Papers citing "Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA"

13 / 13 papers shown
Title
ApproXAI: Energy-Efficient Hardware Acceleration of Explainable AI using Approximate Computing
ApproXAI: Energy-Efficient Hardware Acceleration of Explainable AI using Approximate Computing
Ayesha Siddique
Khurram Khalil
K. A. Hoque
26
0
0
24 Apr 2025
HGNAS: Hardware-Aware Graph Neural Architecture Search for Edge Devices
HGNAS: Hardware-Aware Graph Neural Architecture Search for Edge Devices
Ao Zhou
Jianlei Yang
Yingjie Qi
Tong Qiao
Yumeng Shi
Cenlin Duan
Weisheng Zhao
Chunming Hu
GNN
31
1
0
23 Aug 2024
Embedded Graph Convolutional Networks for Real-Time Event Data
  Processing on SoC FPGAs
Embedded Graph Convolutional Networks for Real-Time Event Data Processing on SoC FPGAs
K. Jeziorek
Piotr Wzorek
Krzysztof Blachut
Andrea Pinna
T. Kryjak
GNN
37
4
0
11 Jun 2024
HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge
  Graph Reasoning
HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge Graph Reasoning
Hanning Chen
Yang Ni
Ali Zakeri
Zhuowen Zou
Sanggeon Yun
Fei Wen
Behnam Khaleghi
Narayan Srinivasa
Hugo Latapie
Mohsen Imani
31
1
0
09 Mar 2024
Exploiting On-chip Heterogeneity of Versal Architecture for GNN
  Inference Acceleration
Exploiting On-chip Heterogeneity of Versal Architecture for GNN Inference Acceleration
Paul Chen
Pavan Manjunath
Sasindu Wijeratne
Bingyi Zhang
Viktor Prasanna
GNN
21
8
0
04 Aug 2023
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training
Hongkuan Zhou
Da Zheng
Xiang Song
George Karypis
Viktor Prasanna
GNN
26
13
0
14 Jul 2023
Hardware Acceleration of Explainable Artificial Intelligence
Hardware Acceleration of Explainable Artificial Intelligence
Zhixin Pan
Prabhat Mishra
24
0
0
04 May 2023
DGNN-Booster: A Generic FPGA Accelerator Framework For Dynamic Graph
  Neural Network Inference
DGNN-Booster: A Generic FPGA Accelerator Framework For Dynamic Graph Neural Network Inference
Han-Chen Chen
Cong Hao
GNN
AI4CE
36
9
0
13 Apr 2023
HyScale-GNN: A Scalable Hybrid GNN Training System on Single-Node
  Heterogeneous Architecture
HyScale-GNN: A Scalable Hybrid GNN Training System on Single-Node Heterogeneous Architecture
Yi-Chien Lin
Viktor Prasanna
GNN
32
7
0
01 Mar 2023
Accurate, Low-latency, Efficient SAR Automatic Target Recognition on
  FPGA
Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA
Bingyi Zhang
R. Kannan
Viktor Prasanna
Carl E. Busart
27
14
0
04 Jan 2023
Bottleneck Analysis of Dynamic Graph Neural Network Inference on CPU and
  GPU
Bottleneck Analysis of Dynamic Graph Neural Network Inference on CPU and GPU
Han-Chen Chen
Yahya Alhinai
Yihan Jiang
Eunjee Na
Cong Hao
GNN
AI4CE
25
5
0
08 Oct 2022
LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy
  Physics
LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics
Zhiqiang Que
Hongxiang Fan
Marcus Loo
He Li
Michaela Blott
M. Pierini
A. Tapper
Wayne Luk
GNN
29
12
0
28 Sep 2022
SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence
  Modeling on Dynamic Entity Embeddings
SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings
Hongkuan Zhou
James Orme-Rogers
R. Kannan
Viktor Prasanna
AI4TS
36
4
0
09 Sep 2021
1