@inproceedings{4bcba88968bb4b7da273da4adfc32539,
title = "SINGA: A distributed deep learning platform",
abstract = "Deep learning has shown outstanding performance in various machine learning tasks. However, the deep complex model structure and massive training data make it expensive to train. In this paper, we present a distributed deep learning system, called SINGA, for training big models over large datasets. An intuitive programming model based on the layer abstraction is provided, which supports a variety of popular deep learning models. SINGA architecture supports both synchronous and asynchronous training frameworks. Hybrid training frameworks can also be customized to achieve good scalability. SINGA provides different neural net partitioning schemes for training large models. SINGA is an Apache Incubator project released under Apache License 2.",
keywords = "Deep learning, Distributed training",
author = "Ooi, \{Beng Chin\} and Tan, \{Kian Lee\} and Sheng Wang and Wei Wang and Qingchao Cai and Gang Chen and Jinyang Gao and Zhaojing Luo and Tung, \{Anthony K.H.\} and Yuan Wang and Zhongle Xie and Meihui Zhang and Kaiping Zheng",
note = "Publisher Copyright: {\textcopyright} 2015 ACM.; 23rd ACM International Conference on Multimedia, MM 2015 ; Conference date: 26-10-2015 Through 30-10-2015",
year = "2015",
month = oct,
day = "13",
doi = "10.1145/2733373.2807410",
language = "English",
series = "MM 2015 - Proceedings of the 2015 ACM Multimedia Conference",
publisher = "Association for Computing Machinery, Inc",
pages = "685--688",
booktitle = "MM 2015 - Proceedings of the 2015 ACM Multimedia Conference",
}