Implementation of Convolution Function Through Fast Fourier Transform in Convolution Neural Networks Computation

Author:

Kushchenko Andrey S.1,Ternovoy Nickolay E.2,Popov Mikhail G.3,Yakunin Alexey N.4

Affiliation:

1. FPGA-Systems,Engineer of the Verification Department,Taganrog,Russia

2. FPGA-Systems,Engineer of the RTL-Design Department,Moscow,Russia

3. KM211,Engineer of the Verification Department,Moscow,Russia

4. National Research University of Electronic Technology (MIET),Computer Engineering Department,Moscow,Russia

Publisher

IEEE

Reference10 articles.

1. FFT-Based Deep Learning Deployment in Embedded Systems;lin,2017

2. Butterfly Trans- form: An Efficient FFT Based Neural Architecture Design;alizadeh,2020

3. Official documentation Xilinx on IP kernel xfft,0

4. Convolution Theorem and Asymptotic Efficiency

5. Fast Training of Con- volutional Networks through FFTs;mathieu,0

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