A Survey on Graph Processing Accelerators: Challenges and Opportunities

A Survey on Graph Processing Accelerators: Challenges and Opportunities

26 February 2019

Papers citing "A Survey on Graph Processing Accelerators: Challenges and Opportunities"

8 / 8 papers shown

Title
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs Yangjie Zhou Yaoxu Song Jingwen Leng Zihan Liu Weihao Cui Zhendong Zhang Cong Guo Quan Chen Li-Wei Li Minyi Guo GNN 51 1 0 27 May 2023
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey Jana Vatter R. Mayer Hans-Arno Jacobsen GNN AI4TS AI4CE 48 23 0 23 May 2023
HEROv2: Full-Stack Open-Source Research Platform for Heterogeneous Computing Andreas Kurth Björn Forsberg Luca Benini 27 15 0 11 Jan 2022
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 43 35 0 03 Dec 2021
A visual introduction to Gaussian Belief Propagation Joseph Ortiz Talfan Evans Andrew J. Davison 20 33 0 05 Jul 2021
Learning physical properties of anomalous random walks using graph neural networks Hippolyte Verdier M. Duval François Laurent Alhassan Cassé Christian L. Vestergaard Jean-Baptiste Masson 21 25 0 22 Mar 2021
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 50 226 0 30 Sep 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 21 66 0 08 Aug 2020