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CNN2Gate: Toward Designing a General Framework for Implementation of
  Convolutional Neural Networks on FPGA

CNN2Gate: Toward Designing a General Framework for Implementation of Convolutional Neural Networks on FPGA

6 April 2020
Alireza Ghaffari
Yvon Savaria
ArXivPDFHTML

Papers citing "CNN2Gate: Toward Designing a General Framework for Implementation of Convolutional Neural Networks on FPGA"

3 / 3 papers shown
Title
Exploration of Activation Fault Reliability in Quantized Systolic
  Array-Based DNN Accelerators
Exploration of Activation Fault Reliability in Quantized Systolic Array-Based DNN Accelerators
Mahdi Taheri
N. Cherezova
M. S. Ansari
M. Jenihhin
A. Mahani
Masoud Daneshtalab
J. Raik
29
12
0
17 Jan 2024
ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural
  Networks
ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks
Ahmed T. Elthakeb
Prannoy Pilligundla
Fatemehsadat Mireshghallah
Amir Yazdanbakhsh
H. Esmaeilzadeh
MQ
55
68
0
05 Nov 2018
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
80
387
0
16 Apr 2018
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