Trishul M. Chilimbi, Yutaka Suzue, Johnson Apacible, Karthik Kalyanaraman. Project Adam: Building an Efficient and Scalable Deep Learning Training System. In Jason Flinn, Hank Levy, editors, 11th USENIX Symposium on Operating Systems Design and Implementation, OSDI '14, Broomfield, CO, USA, October 6-8, 2014. pages 571-582, USENIX Association, 2014. [doi]
@inproceedings{ChilimbiSAK14,
title = {Project Adam: Building an Efficient and Scalable Deep Learning Training System},
author = {Trishul M. Chilimbi and Yutaka Suzue and Johnson Apacible and Karthik Kalyanaraman},
year = {2014},
url = {https://www.usenix.org/conference/osdi14/technical-sessions/presentation/chilimbi},
researchr = {https://researchr.org/publication/ChilimbiSAK14},
cites = {0},
citedby = {0},
pages = {571-582},
booktitle = {11th USENIX Symposium on Operating Systems Design and Implementation, OSDI '14, Broomfield, CO, USA, October 6-8, 2014},
editor = {Jason Flinn and Hank Levy},
publisher = {USENIX Association},
}