GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms

31 December 2019

Papers citing "GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms"

11 / 11 papers shown

Title
GNNBuilder: An Automated Framework for Generic Graph Neural Network Accelerator Generation, Simulation, and Optimization Stefan Abi-Karam Cong Hao GNN 28 7 0 29 Mar 2023
GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN Inference Bingyi Zhang Hanqing Zeng Viktor Prasanna GNN 21 15 0 02 Feb 2023
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 32 54 0 19 May 2022
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA Hongkuan Zhou Bingyi Zhang R. Kannan Viktor Prasanna Carl E. Busart GNN 15 23 0 10 Mar 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 9 20 0 01 Mar 2022
HP-GNN: Generating High Throughput GNN Training Implementation on CPU-FPGA Heterogeneous Platform Yi-Chien Lin Bingyi Zhang Viktor Prasanna GNN 11 34 0 22 Dec 2021
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design Sung Une Lee Boming Xia Yongan Zhang Ang Li Yingyan Lin GNN 47 47 0 22 Dec 2021
Graph Neural Networks for Charged Particle Tracking on FPGAs Abdelrahman Elabd Vesal Razavimaleki Shih-Yu Huang Javier Mauricio Duarte M. Atkinson ... Bo-Cheng Lai Mark S. Neubauer I. Ojalvo S. Thais Matthew Trahms GNN 28 35 0 03 Dec 2021
QGTC: Accelerating Quantized Graph Neural Networks via GPU Tensor Core Yuke Wang Boyuan Feng Yufei Ding GNN 22 39 0 18 Nov 2021
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Mingyu Yan Lei Deng Guoqi Li Xiaochun Ye Dongrui Fan GNN 21 95 0 10 Mar 2021
GraphSAINT: Graph Sampling Based Inductive Learning Method Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava R. Kannan Viktor Prasanna GNN 43 942 0 10 Jul 2019