HyGCN: A GCN Accelerator with Hybrid Architecture

7 January 2020

Lei Deng

Xiaochun Ye

Papers citing "HyGCN: A GCN Accelerator with Hybrid Architecture"

34 / 84 papers shown

Title
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 11 20 0 01 Mar 2022
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective Xin Liu Mingyu Yan Lei Deng Guoqi Li Xiaochun Ye Dongrui Fan Shirui Pan Yuan Xie GNN 8 41 0 10 Feb 2022
SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning Zihui Xue Yuedong Yang Mengtian Yang R. Marculescu 19 8 0 31 Jan 2022
Hardware/Software Co-Programmable Framework for Computational SSDs to Accelerate Deep Learning Service on Large-Scale Graphs Miryeong Kwon Donghyun Gouk Sangwon Lee Myoungsoo Jung GNN 19 26 0 23 Jan 2022
GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration Stefan Abi-Karam Yuqi He Rishov Sarkar Lakshmi Sathidevi Zihang Qiao Cong Hao GNN 6 14 0 20 Jan 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 33 35 0 03 Dec 2021
SPA-GCN: Efficient and Flexible GCN Accelerator with an Application for Graph Similarity Computation Atefeh Sohrabizadeh Yuze Chi Jason Cong GNN 29 1 0 10 Nov 2021
LW-GCN: A Lightweight FPGA-based Graph Convolutional Network Accelerator Zhuofu Tao Chen Wu Yuan Liang Lei He GNN 19 26 0 04 Nov 2021
GNNear: Accelerating Full-Batch Training of Graph Neural Networks with Near-Memory Processing Zhe Zhou Cong Li Xuechao Wei Xiaoyang Wang Guangyu Sun GNN 11 24 0 01 Nov 2021
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective Hengrui Zhang Zhongming Yu Guohao Dai Guyue Huang Yufei Ding Yuan Xie Yu Wang GNN 17 46 0 18 Oct 2021
Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication Linghao Song Yuze Chi Atefeh Sohrabizadeh Young-kyu Choi Jason Lau Jason Cong GNN 8 59 0 22 Sep 2021
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency Yongan Zhang Haoran You Yonggan Fu Tong Geng Ang Li Yingyan Lin GNN 21 28 0 18 Sep 2021
GNNSampler: Bridging the Gap between Sampling Algorithms of GNN and Hardware Xin Liu Mingyu Yan Shuhan Song Zhengyang Lv Wenming Li Guangyu Sun Xiaochun Ye Dongrui Fan 16 13 0 26 Aug 2021
FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks Sheng-Chun Kao Suvinay Subramanian Gaurav Agrawal Amir Yazdanbakhsh T. Krishna 30 57 0 13 Jul 2021
GPTPU: Accelerating Applications using Edge Tensor Processing Units Kuan-Chieh Hsu Hung-Wei Tseng 24 27 0 22 Jun 2021
GNNIE: GNN Inference Engine with Load-balancing and Graph-Specific Caching Sudipta Mondal Susmita Dey Manasi K. Kunal S. Ramprasath S. Sapatnekar GNN 6 14 0 21 May 2021
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning Hongkuan Zhou Ajitesh Srivastava Hanqing Zeng R. Kannan Viktor Prasanna GNN 19 64 0 10 May 2021
VersaGNN: a Versatile accelerator for Graph neural networks Feng Shi Yiqiao Jin Song-Chun Zhu GNN 48 17 0 04 May 2021
SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems Maciej Besta Raghavendra Kanakagiri Grzegorz Kwa'sniewski Rachata Ausavarungnirun Jakub Beránek ... Salvatore Di Girolamo Marek Konieczny Nils Blach O. Mutlu Torsten Hoefler 21 85 0 15 Apr 2021
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices Zhe Zhou Bizhao Shi Zhe Zhang Yijin Guan Guangyu Sun Guojie Luo GNN 28 32 0 13 Apr 2021
Do We Need Anisotropic Graph Neural Networks? Shyam A. Tailor Felix L. Opolka Pietro Lio' Nicholas D. Lane 38 34 0 03 Apr 2021
Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators Raveesh Garg Eric Qin Francisco Munoz-Martínez Robert Guirado Akshay Jain ... José L. Abellán M. Acacio Eduard Alarcón S. Rajamanickam T. Krishna GNN 6 18 0 14 Mar 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 23 100 0 10 Mar 2021
Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets Haoran You Zhihan Lu Zijian Zhou Y. Fu Yingyan Lin GNN 33 30 0 01 Mar 2021
SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning Hanrui Wang Zhekai Zhang Song Han 20 373 0 17 Dec 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 27 225 0 30 Sep 2020
Mesorasi: Architecture Support for Point Cloud Analytics via Delayed-Aggregation Yu Feng Boyuan Tian Tiancheng Xu P. Whatmough Yuhao Zhu 3DPC 16 58 0 16 Aug 2020
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics Y. Iiyama G. Cerminara Abhijay Gupta J. Kieseler Vladimir Loncar ... Miaoyuan Liu K. Pedro N. Tran E. Kreinar Zhenbin Wu 11 66 0 08 Aug 2020
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights Shail Dave Riyadh Baghdadi Tony Nowatzki Sasikanth Avancha Aviral Shrivastava Baoxin Li 46 81 0 02 Jul 2020
GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning Hanrui Wang Kuan-Chieh Jackson Wang Jiacheng Yang Linxiao Shen Nan Sun Hae-Seung Lee Song Han GNN 6 228 0 30 Apr 2020
EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Shengwen Liang Ying Wang Cheng Liu Lei He Huawei Li Xiaowei Li GNN 6 132 0 31 Aug 2019
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 267 1,944 0 09 Jun 2018