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AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers

AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers

19 November 2019
Julian Faraone
M. Kumm
M. Hardieck
P. Zipf
Xueyuan Liu
David Boland
Philip H. W. Leong
    MQ
ArXiv (abs)PDFHTML

Papers citing "AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers"

7 / 7 papers shown
Leveraging Highly Approximated Multipliers in DNN Inference
Leveraging Highly Approximated Multipliers in DNN InferenceIEEE Access (IEEE Access), 2024
Georgios Zervakis
Fabio Frustaci
Ourania Spantidi
Iraklis Anagnostopoulos
H. Amrouch
Jörg Henkel
318
1
0
21 Dec 2024
Hardware Approximate Techniques for Deep Neural Network Accelerators: A
  Survey
Hardware Approximate Techniques for Deep Neural Network Accelerators: A SurveyACM Computing Surveys (ACM CSUR), 2022
Giorgos Armeniakos
Georgios Zervakis
Dimitrios Soudris
J. Henkel
589
136
0
16 Mar 2022
Elastic Significant Bit Quantization and Acceleration for Deep Neural
  Networks
Elastic Significant Bit Quantization and Acceleration for Deep Neural NetworksIEEE Transactions on Parallel and Distributed Systems (TPDS), 2021
Cheng Gong
Ye Lu
Kunpeng Xie
Zongming Jin
Tao Li
Yanzhi Wang
MQ
316
7
0
08 Sep 2021
Integer-arithmetic-only Certified Robustness for Quantized Neural
  Networks
Integer-arithmetic-only Certified Robustness for Quantized Neural Networks
Haowen Lin
Jian Lou
Li Xiong
Cyrus Shahabi
MQAAML
151
17
0
21 Aug 2021
A Low-Cost Neural ODE with Depthwise Separable Convolution for Edge
  Domain Adaptation on FPGAs
A Low-Cost Neural ODE with Depthwise Separable Convolution for Edge Domain Adaptation on FPGAs
Hiroki Kawakami
Hirohisa Watanabe
Keisuke Sugiura
Hiroki Matsutani
290
6
0
27 Jul 2021
Accelerating ODE-Based Neural Networks on Low-Cost FPGAs
Accelerating ODE-Based Neural Networks on Low-Cost FPGAsIEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPS), 2020
Hirohisa Watanabe
Hiroki Matsutani
304
8
0
31 Dec 2020
AUSN: Approximately Uniform Quantization by Adaptively Superimposing
  Non-uniform Distribution for Deep Neural Networks
AUSN: Approximately Uniform Quantization by Adaptively Superimposing Non-uniform Distribution for Deep Neural Networks
Fangxin Liu
Wenbo Zhao
Yanzhi Wang
Changzhi Dai
Li Jiang
MQ
205
4
0
08 Jul 2020
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