Abstract: Distributed deep learning (DL) training constitutes a significant portion of workloads in modern data centers that are equipped with high computational capacities, such as GPU servers.
Abstract: Traffic flow forecasting is crucial for intelligent transportation systems. Currently, most models need to pay more attention to the delay (history) state to improve forecasting performance.
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