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Architectural Implications of Neural Network Inference for High
  Data-Rate, Low-Latency Scientific Applications

Architectural Implications of Neural Network Inference for High Data-Rate, Low-Latency Scientific Applications

13 March 2024
Olivia Weng
Alexander Redding
Nhan Tran
Javier Mauricio Duarte
Ryan Kastner
ArXiv (abs)PDFHTML

Papers citing "Architectural Implications of Neural Network Inference for High Data-Rate, Low-Latency Scientific Applications"

8 / 8 papers shown
Title
Low latency optical-based mode tracking with machine learning deployed
  on FPGAs on a tokamak
Low latency optical-based mode tracking with machine learning deployed on FPGAs on a tokamak
Yumou Wei
Ryan F. Forelli
Chris Hansen
Jeffrey P. Levesque
Nhan Tran
Joshua C. Agar
G. D. Guglielmo
M. Mauel
G. Navratil
52
4
0
30 Nov 2023
FastML Science Benchmarks: Accelerating Real-Time Scientific Edge
  Machine Learning
FastML Science Benchmarks: Accelerating Real-Time Scientific Edge Machine Learning
Javier Mauricio Duarte
Nhan Tran
B. Hawks
C. Herwig
J. Muhizi
Shvetank Prakash
Vijay Janapa Reddi
96
11
0
16 Jul 2022
Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark
Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark
H. Borras
G. D. Guglielmo
Javier Mauricio Duarte
Nicolò Ghielmetti
B. Hawks
...
Nhan Tran
Yaman Umuroglu
Olivia Weng
Aidan Yokuda
Michaela Blott
VLMMQ
69
14
0
23 Jun 2022
A reconfigurable neural network ASIC for detector front-end data
  compression at the HL-LHC
A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC
G. D. Guglielmo
F. Fahim
C. Herwig
M. Valentín
Javier Mauricio Duarte
...
D. Noonan
Seda Ogrenci-Memik
M. Pierini
S. Summers
N. Tran
58
52
0
04 May 2021
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
823
42,332
0
28 May 2020
LogicNets: Co-Designed Neural Networks and Circuits for
  Extreme-Throughput Applications
LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications
Yaman Umuroglu
Yash Akhauri
Nicholas J. Fraser
Michaela Blott
MQ
56
89
0
06 Apr 2020
Fast inference of deep neural networks in FPGAs for particle physics
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
143
395
0
16 Apr 2018
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference
Yaman Umuroglu
Nicholas J. Fraser
Giulio Gambardella
Michaela Blott
Philip H. W. Leong
Magnus Jahre
K. Vissers
MQ
101
993
0
01 Dec 2016
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