NERSC/dl-at-scale-training
Deep Learning at Scale Training Event at NERSC
This content helps researchers and scientists using deep learning models for tasks like weather forecasting or other large-scale simulations. It provides practical examples and guidance for training complex deep learning models efficiently on powerful supercomputing systems, showing how to input atmospheric data to predict future states. It's designed for data scientists and computational researchers who work with high-performance computing resources.
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Use this if you are a researcher who needs to train large deep learning models for scientific applications, especially involving simulations or large datasets, and want to leverage high-performance computing resources like NERSC's Perlmutter.
Not ideal if you are a beginner looking for an introduction to deep learning on a personal computer, or if your projects involve small datasets that don't require supercomputing infrastructure.
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Jun 05, 2025
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