Single Server Multi-GPU Training of ConvNets
Facebook AI Group
arXiv:1312.5853 [cs.LG], (20 Dec 2013)
@article{2013arXiv1312.5853Y,
author={Yadan}, O. and {Adams}, K. and {Taigman}, Y. and {Ranzato}, M.},
title={"{Single Server Multi-GPU Training of ConvNets}"},
journal={ArXiv e-prints},
archivePrefix={"arXiv"},
eprint={1312.5853},
primaryClass={"cs.LG"},
keywords={Computer Science – Learning, Computer Science – Neural and Evolutionary Computing},
year={2013},
month={dec},
adsurl={http://adsabs.harvard.edu/abs/2013arXiv1312.5853Y},
adsnote={Provided by the SAO/NASA Astrophysics Data System}
}
In this work we evaluate different approaches to parallelize computation of convolutional neural networks across several GPUs within the same server.
December 23, 2013 by hgpu
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