Abstract: Distributed training is the most common way to scale out and accelerate Deep Neural Network (DNN) training. Distributed DNN training requires synchronization of gradient aggregation among ...
Abstract: Modern systems often use automation for resource scaling. Current automatic scaling systems focus on systemgenerated metrics like CPU and memory utilization to determine scaling. Although ...
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