Publication | Open Access
Theano-based Large-Scale Visual Recognition with Multiple GPUs
37
Citations
10
References
2014
Year
Cluster ComputingConvolutional Neural NetworkEngineeringMachine LearningGpu BenchmarkingComputer ArchitectureTheano-based AlexnetGpu ComputingImage ClassificationImage AnalysisData SciencePattern RecognitionParallel ComputingVision RecognitionMassively-parallel ComputingMachine VisionNaive Data ParallelismComputer EngineeringMultiple GpusComputer ScienceDeep LearningMedical Image ComputingGpu ClusterComputer VisionComputational ScienceGpu ArchitectureParallel Programming
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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