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arxiv: 1412.2302 · v4 · pith:ICOSM72Bnew · submitted 2014-12-07 · 💻 cs.LG

Theano-based Large-Scale Visual Recognition with Multiple GPUs

classification 💻 cs.LG
keywords gpusalexnetimplementationmultipletheano-basedbestcaffecomparable
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In this report, we describe a Theano-based AlexNet (Krizhevsky et al., 2012) implementation and its naive data parallelism on multiple GPUs. Our performance on 2 GPUs is comparable with the state-of-art Caffe library (Jia et al., 2014) run on 1 GPU. To the best of our knowledge, this is the first open-source Python-based AlexNet implementation to-date.

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