TY - JOUR
AU1 - Liu, Ying
AU2 - Ding, Haitao
AU3 - Ma, Jiali
AB - Convolutional neural networks are widely used in human production and life, but due to their large amount of calculation and complex calculation mode, their calculation speed is slow, so it is necessary to design a dedicated hardware accelerator. This paper firstly analyzes the algorithm of the convolutional neural network and decomposes the algorithm into multiple basic operations. For the convolution operation with the largest amount of calculation and complex operation mode, a near calculation storage array is designed according to its operational characteristics. Furthermore, a convolutional neural network accelerator architecture is proposed to realize the fast operation of a convolutional neural network.
TI - Research on the Architecture of Convolutional Neural Network Accelerator
JF - Journal of Physics: Conference Series
DO - 10.1088/1742-6596/1757/1/012067
DA - 2021-02-04
UR - https://www.deepdyve.com/lp/iop-publishing/research-on-the-architecture-of-convolutional-neural-network-4LL4TvV6t3
SP - 012067
VL - 1757
IS - 1
DP - DeepDyve
ER -