LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics

28 September 2022

Papers citing "LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics"

27 / 27 papers shown

Title
MetaML: Automating Customizable Cross-Stage Design-Flow for Deep Learning Acceleration Zhiqiang Que Shuo Liu Markus Rognlien Ce Guo Jose G. F. Coutinho Wayne Luk 38 5 0 14 Jun 2023
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 46 54 0 19 May 2022
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges S. Thais P. Calafiura G. Chachamis G. Dezoort Javier Mauricio Duarte S. Ganguly Michael Kagan D. Murnane Mark S. Neubauer K. Terao PINN AI4CE 68 30 0 23 Mar 2022
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA Hongkuan Zhou Bingyi Zhang Rajgopal Kannan Viktor Prasanna Carl E. Busart GNN 40 23 0 10 Mar 2022
I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization Tong Geng Chunshu Wu Yongan Zhang Cheng Tan Chenhao Xie Haoran You Martin C. Herbordt Yingyan Lin Ang Li GNN 38 108 0 07 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 28 22 0 01 Mar 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 16 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 36 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 82 48 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 52 35 0 03 Dec 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 39 28 0 18 Sep 2021
Accelerating Recurrent Neural Networks for Gravitational Wave Experiments Zhiqiang Que Erwei Wang Umar Marikar Eric A. Moreno J. Ngadiuba ... Vladimir Loncar S. Summers M. Pierini P. Cheung Wayne Luk 50 26 0 26 Jun 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 16 18 0 14 Mar 2021
Performance of a Geometric Deep Learning Pipeline for HL-LHC Particle Tracking X. Ju D. Murnane P. Calafiura Nicholas Choma S. Conlon ... Aditi Chauhan A. Schuy Shih-Chieh Hsu A. Ballow A. Lazar 29 62 0 11 Mar 2021
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 23 66 0 08 Aug 2020
Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors C. Coelho Aki Kuusela Shane Li Zhuang Hao T. Aarrestad Vladimir Loncar J. Ngadiuba M. Pierini Adrian Alan Pol S. Summers MQ 55 178 0 15 Jun 2020
HyGCN: A GCN Accelerator with Hybrid Architecture Yurui Lai Lei Deng Xing Hu Ling Liang Yujing Feng Xiaochun Ye Zhimin Zhang Xiaochun Ye Yuan Xie GNN 63 289 0 07 Jan 2020
GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms Hanqing Zeng Viktor Prasanna GNN 34 127 0 31 Dec 2019
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 33 133 0 31 Aug 2019
AliGraph: A Comprehensive Graph Neural Network Platform Rong Zhu Kun Zhao Hongxia Yang Wei Lin Chang Zhou Baole Ai Yong Li Jingren Zhou GNN 84 387 0 23 Feb 2019
Learning representations of irregular particle-detector geometry with distance-weighted graph networks S. Qasim J. Kieseler Y. Iiyama M. Pierini 47 135 0 21 Feb 2019
Graph Neural Networks for Social Recommendation Wenqi Fan Yao Ma Qing Li Yuan He Yue Zhao Jiliang Tang Dawei Yin 157 1,873 0 19 Feb 2019
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 181 3,513 0 06 Jun 2018
Fast inference of deep neural networks in FPGAs for particle physics Javier Mauricio Duarte Song Han Philip C. Harris S. Jindariani E. Kreinar ... J. Ngadiuba M. Pierini R. Rivera N. Tran Zhenbin Wu AI4CE 110 390 0 16 Apr 2018
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 288 1,808 0 02 Mar 2017
ESE: Efficient Speech Recognition Engine with Sparse LSTM on FPGA Song Han Junlong Kang Huizi Mao Yiming Hu Xin Li ... Hong Luo Song Yao Yu Wang Huazhong Yang W. Dally 54 628 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 443 1,405 0 01 Dec 2016