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As the performance overhead associated with CPU and memory virtualization becomes largely negligible, research efforts are directed toward reducing the I/O virtualization overhead, which mainly comes from two sources: DMA set-up and payload copy, and interrupt delivery. The advent of SRIOV and MRIOV effectively reduces the DMA-related virtualization(More)
In this paper, we provide a thorough analysis of decision boundaries of neural networks when they are used as a classifier. First, we divide the classifying mechanism of the neural network into two parts: dimension expansion by hidden neurons and linear decision boundary formation by output neurons. In this paradigm, the input data is first warped into a(More)
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