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hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power
  Machine Learning Devices

hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices

9 March 2021
F. Fahim
B. Hawks
C. Herwig
J. Hirschauer
S. Jindariani
N. Tran
L. Carloni
G. D. Guglielmo
Philip C. Harris
J. Krupa
D. Rankin
M. Valentín
Josiah D. Hester
Yingyi Luo
John Mamish
Seda Orgrenci-Memik
T. Aarrestad
Hamza Javed
Vladimir Loncar
M. Pierini
Adrian Alan Pol
S. Summers
Javier Mauricio Duarte
Scott Hauck
Shih-Chieh Hsu
J. Ngadiuba
Miaoyuan Liu
Duc Hoang
E. Kreinar
Zhenbin Wu
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Papers citing "hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices"

12 / 12 papers shown
Title
ElasticAI: Creating and Deploying Energy-Efficient Deep Learning
  Accelerator for Pervasive Computing
ElasticAI: Creating and Deploying Energy-Efficient Deep Learning Accelerator for Pervasive Computing
Chao Qian
Tianheng Ling
Gregor Schiele
24
7
0
29 Aug 2024
Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction
  on FPGA
Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA
Zehuan Zhang
Hongxiang Fan
Hao Chen
Lukasz Dudziak
Wayne Luk
BDL
40
0
0
23 Jun 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
54
14
0
07 Apr 2024
NeuraLUT: Hiding Neural Network Density in Boolean Synthesizable
  Functions
NeuraLUT: Hiding Neural Network Density in Boolean Synthesizable Functions
Marta Andronic
G. Constantinides
21
5
0
29 Feb 2024
Tailor: Altering Skip Connections for Resource-Efficient Inference
Tailor: Altering Skip Connections for Resource-Efficient Inference
Olivia Weng
Gabriel Marcano
Vladimir Loncar
Alireza Khodamoradi
Nojan Sheybani
Andres Meza
F. Koushanfar
K. Denolf
Javier Mauricio Duarte
Ryan Kastner
38
11
0
18 Jan 2023
FastStamp: Accelerating Neural Steganography and Digital Watermarking of
  Images on FPGAs
FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs
Shehzeen Samarah Hussain
Nojan Sheybani
Paarth Neekhara
Xinqiao Zhang
Javier Mauricio Duarte
F. Koushanfar
32
11
0
26 Sep 2022
CFU Playground: Full-Stack Open-Source Framework for Tiny Machine
  Learning (tinyML) Acceleration on FPGAs
CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs
Shvetank Prakash
Tim Callahan
Joseph R. Bushagour
Colby R. Banbury
Alan V. Green
Pete Warden
Tim Ansell
Vijay Janapa Reddi
32
30
0
05 Jan 2022
A Graph Deep Learning Framework for High-Level Synthesis Design Space
  Exploration
A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration
Lorenzo Ferretti
Andrea Cini
Georgios Zacharopoulos
Cesare Alippi
L. Pozzi
29
4
0
29 Nov 2021
Benchmarking TinyML Systems: Challenges and Direction
Benchmarking TinyML Systems: Challenges and Direction
Colby R. Banbury
Vijay Janapa Reddi
Max Lam
William Fu
A. Fazel
...
Jae-sun Seo
Jeff Sieracki
Urmish Thakker
Marian Verhelst
Poonam Yadav
109
228
0
10 Mar 2020
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
191
1,027
0
06 Mar 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Alex Renda
Jonathan Frankle
Michael Carbin
224
383
0
05 Mar 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
75
387
0
16 Apr 2018
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