@inproceedings{72d3b976902949ba923699f5bd8462e6,
title = "Performance of convolution neural network based on multiple GPUs with different data communication models",
abstract = "Recently, deep learning technologies have been utilized in many scientific domains successfully. Convolution neural networks are common used in image understanding problems. However, to train a convolution neural network model with huge amount of images is time-consuming task. Most of deep learning frameworks, such as Caffe, TensorFlow, Torch, Keras, MxNet, and so forth, support GPU to train model fast; especially executing these models on multiple GPUs. In this work, we present the comparison of computation performance of AlexNet among different GPU servers and hyperparameters. The results shows that GPU servers with high bandwidth rate, NVLINK, can achieve better performance than others.",
keywords = "Convolution Neural Networks, Deep Learning, GPU, Multiple GPUs",
author = "Hung, {Che Lun} and Lin, {Yi Yang} and Tang, {Chuan Yi} and Chilung Wang and Chen, {Ming Chiang}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2018 ; Conference date: 27-06-2018 Through 29-06-2018",
year = "2018",
month = aug,
day = "20",
doi = "10.1109/SNPD.2018.8441056",
language = "English",
isbn = "9781538658895",
series = "Proceedings - 2018 IEEE/ACIS 19th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "87--92",
editor = "Hwang, {Ha Jin} and Lizhi Cai and Yeom, {Gun Huck} and Tokuro Matsuo and Kim, {Haeng Kon} and Hyun Yeo and Hong, {Chung Sun} and Naoki Fukuta and Takayuki Ito and Huaikou Miao",
booktitle = "Proceedings - 2018 IEEE/ACIS 19th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2018",
address = "United States",
}