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2112.02048
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Graph Neural Networks for Charged Particle Tracking on FPGAs
3 December 2021
Abdelrahman Elabd
Vesal Razavimaleki
Shih-Yu Huang
Javier Mauricio Duarte
M. Atkinson
G. Dezoort
P. Elmer
Scott Hauck
Jin-Xuan Hu
Shih-Chieh Hsu
Bo-Cheng Lai
Mark S. Neubauer
I. Ojalvo
S. Thais
Matthew Trahms
GNN
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Papers citing
"Graph Neural Networks for Charged Particle Tracking on FPGAs"
7 / 7 papers shown
Title
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning
Sanghwan Bae
Jiwoo Hong
Min Young Lee
Hanbyul Kim
Jeongyeon Nam
Donghyun Kwak
OffRL
LRM
50
0
0
04 Apr 2025
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
Physics Community Needs, Tools, and Resources for Machine Learning
Philip C. Harris
E. Katsavounidis
W. McCormack
D. Rankin
Yongbin Feng
...
De-huai Chen
Mark S. Neubauer
Javier Mauricio Duarte
G. Karagiorgi
Miaoyuan Liu
AI4CE
14
3
0
30 Mar 2022
The Tracking Machine Learning challenge : Throughput phase
S. Amrouche
L. Basara
P. Calafiura
D. Emeliyanov
Victor Estrade
...
E. Moyse
D. Rousseau
A. Salzburger
Andrey Ustyuzhanin
J. Vlimant
118
31
0
03 May 2021
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks
J. Pata
Javier Mauricio Duarte
J. Vlimant
M. Pierini
M. Spiropulu
107
76
0
21 Jan 2021
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
75
386
0
16 Apr 2018
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
278
1,400
0
01 Dec 2016
1