Researchers at the University of Michigan Develop Zeus: A Machine Learning-Based Framework for Optimizing GPU Energy Consumption of Deep Neural Networks DNNs Training

Deep neural networks (DNNs) have become widely used in recent years across a variety of data-driven application domains, including speech recognition, natural language processing, computer vision, and personalized recommendations. DNN models are typically trained in clusters of highly parallel and ever more powerful GPUs in order to handle such growth effectively. But as computing becomes […]

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