Performance Evaluation of cuDNN Convolution Algorithms on NVIDIA Volta GPUs
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2918851
Abstract: Convolutional neural networks (CNNs) have recently attracted considerable attention due to their outstanding accuracy in applications, such as image recognition and natural language processing. While one advantage of the CNNs over other types of neural… read more here.
Keywords: evaluation cudnn; performance; convolution; performance evaluation ... See more keywords
Enabling Efficient Fast Convolution Algorithms on GPUs via MegaKernels
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2020.2973144
Abstract: Modern Convolutional Neural Networks (CNNs) require a massive amount of convolution operations. To address the overwhelming computation problem, Winograd and FFT fast algorithms have been used as effective approaches to reduce the number of multiplications.… read more here.
Keywords: enabling efficient; convolution; fast convolution; convolution algorithms ... See more keywords