GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design

GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design

22 December 2021

Papers citing "GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design"

11 / 11 papers shown

Title
GNNavigator: Towards Adaptive Training of Graph Neural Networks via Automatic Guideline Exploration Tong Qiao Jianlei Yang Yingjie Qi Ao Zhou Chen Bai Bei Yu Weisheng Zhao Chunming Hu 24 1 0 15 Apr 2024
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 21 1 0 09 Mar 2024
MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training Hongwu Peng Xi Xie Kaustubh Shivdikar Md Amit Hasan Jiahui Zhao Shaoyi Huang Omer Khan David Kaeli Caiwen Ding 17 35 0 14 Dec 2023
Multicoated and Folded Graph Neural Networks with Strong Lottery Tickets Jiale Yan Hiroaki Ito Ángel López García-Arias Yasuyuki Okoshi Hikari Otsuka Kazushi Kawamura Thiem Van Chu Masato Motomura 14 1 0 06 Dec 2023
MaGNAS: A Mapping-Aware Graph Neural Architecture Search Framework for Heterogeneous MPSoC Deployment Mohanad Odema Halima Bouzidi Hamza Ouarnoughi Smail Niar M. A. Al Faruque 24 7 0 16 Jul 2023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware Shichang Zhang Atefeh Sohrabizadeh Cheng Wan Zijie Huang Ziniu Hu Yewen Wang Yingyan Lin Lin Jason Cong Yizhou Sun GNN AI4CE 21 21 0 24 Jun 2023
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators Mingi Yoo Jaeyong Song Jounghoo Lee Namhyung Kim Youngsok Kim Jinho Lee GNN 13 16 0 25 Jan 2023
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 16 11 0 28 Sep 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 27 47 0 19 May 2022
FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference Rishov Sarkar Stefan Abi-Karam Yuqiang He Lakshmi Sathidevi Cong Hao AI4CE GNN 11 22 0 27 Apr 2022
Do We Need Anisotropic Graph Neural Networks? Shyam A. Tailor Felix L. Opolka Pietro Lio' Nicholas D. Lane 22 32 0 03 Apr 2021