2017 · 16 citations · 1 references
ComputingComputer EngineeringComputer ScienceComputer VisionMachine LearningParallel ComputingDeep LearningGraphics Processing Unit ArchitectureGraphics Processing Unit ComputingGraphics Processing UnitsImage ClassificationParallel ComputationDeep Learning On GpusGpu AcceleratorsGpu ArchitectureGpu Parallel AlgorithmsImage Processing UnitsParallel Data ProcessingParallel Image ProcessingParallel Processing
This study implemented an image classification CNN using a multi-thread GPU. For the CNN, the CIFAR10 dataset was used, and the multi-thread GPU had 256 threads. Using the 256 threads limited to each layer, allocation and parallel processing were conducted. The image classification CNN took 807 ms for computation.
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In-Datacenter Performance Analysis of a Tensor Processing Unit
Norman P. Jouppi, Cliff Young, Nishant Patil et al. · 2017 · 4.4K citations