@inproceedings{a238b31a19594ff299bb6a013f7f1deb,
title = "Object storage for deep learning frameworks",
abstract = "The advent of big datasets and high speed GPUs is fueling the growth in machine and deep learning techniques. In this paper we explore storing the training data in object storage and demonstrate how this can be done effectively while providing sufficient throughput to high performance GPUs.",
keywords = "Deep learning, Machine learning, Object storage",
author = "Or Ozeri and Effi Ofer and Ronen Kat",
note = "Publisher Copyright: {\textcopyright} 2018 Copyright held by the owner/author(s).; 1st Workshop on Distributed Infrastructures for Deep Learning, DIDL 2018, co-located with the International Middleware Conference 2018 ; Conference date: 10-12-2018",
year = "2018",
month = dec,
day = "10",
doi = "10.1145/3286490.3286562",
language = "English",
series = "DIDL 2018 - Proceedings of the 2nd Workshop on Distributed Infrastructures for Deep Learning, Part of Middleware 2018",
publisher = "Association for Computing Machinery, Inc",
pages = "21--24",
booktitle = "DIDL 2018 - Proceedings of the 2nd Workshop on Distributed Infrastructures for Deep Learning, Part of Middleware 2018",
}