Igor Colin, Ludovic Dos Santos, Kevin Scaman. Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 12350-12359, 2019. [doi]
@inproceedings{ColinSS19,
title = {Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning},
author = {Igor Colin and Ludovic Dos Santos and Kevin Scaman},
year = {2019},
url = {http://papers.nips.cc/paper/9402-theoretical-limits-of-pipeline-parallel-optimization-and-application-to-distributed-deep-learning},
researchr = {https://researchr.org/publication/ColinSS19},
cites = {0},
citedby = {0},
pages = {12350-12359},
booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada},
editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alché-Buc and Edward A. Fox and Roman Garnett},
}