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We evaluate one of the state-of-the-art GPU-accelerated edge devices in this paper. We perform a set of deep learning benchmarks on the device to measure its performance. By comparing its performance with other GPU-accelerated systems in different computing platforms, we assess the computational capability of the modern edge devices equipped with a significant amount of hardware parallelism.
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Jo et al. (2020) studied this question.
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