Monday, November 1, 2021

Fast Convolution based on Winograd Minimum Filtering: Introduction and Development


Author :  Gan Tong, Libo Huang

Affiliation :  National University of Defense Technology

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  11, 17, October, 2021

Abstract :

Convolutional Neural Network (CNN) has been widely used in various fields and played an important role. Convolution operators are the fundamental component of convolutional neural networks, and it is also the most time-consuming part of network training and inference. In recent years, researchers have proposed several fast convolution algorithms including FFT and Winograd. Among them, Winograd convolution significantly reduces the multiplication operations in convolution

Keyword :  Winograd Minimum Filtering, Winograd Convolution, Fast Convolution, Convolution Optimization

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