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Fast inference of deep neural networks in FPGAs for particle physics

Fast inference of deep neural networks in FPGAs for particle physics

16 April 2018
Javier Mauricio Duarte
Song Han
Philip C. Harris
S. Jindariani
E. Kreinar
B. Kreis
J. Ngadiuba
M. Pierini
R. Rivera
N. Tran
Zhenbin Wu
    AI4CE
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Papers citing "Fast inference of deep neural networks in FPGAs for particle physics"

6 / 6 papers shown
Title
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning
Sanghwan Bae
Jiwoo Hong
Min Young Lee
Hanbyul Kim
Jeongyeon Nam
Donghyun Kwak
OffRL
LRM
40
2
0
04 Apr 2025
Revisiting Differential Verification: Equivalence Verification with Confidence
Revisiting Differential Verification: Equivalence Verification with Confidence
Samuel Teuber
Philipp Kern
Marvin Janzen
Bernhard Beckert
16
0
0
26 Oct 2024
Allo: A Programming Model for Composable Accelerator Design
Allo: A Programming Model for Composable Accelerator Design
Hongzheng Chen
Niansong Zhang
Shaojie Xiang
Zhichen Zeng
Mengjia Dai
Zhiru Zhang
35
14
0
07 Apr 2024
End-to-end codesign of Hessian-aware quantized neural networks for FPGAs
  and ASICs
End-to-end codesign of Hessian-aware quantized neural networks for FPGAs and ASICs
Javier Campos
Zhen Dong
Javier Mauricio Duarte
A. Gholami
Michael W. Mahoney
Jovan Mitrevski
Nhan Tran
MQ
8
3
0
13 Apr 2023
A Detailed Study of Interpretability of Deep Neural Network based Top
  Taggers
A Detailed Study of Interpretability of Deep Neural Network based Top Taggers
Ayush Khot
Mark S. Neubauer
Avik Roy
AAML
15
16
0
09 Oct 2022
Graph Neural Networks for Charged Particle Tracking on FPGAs
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
20
35
0
03 Dec 2021
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