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Code for running jupyter jobs on Ascent, and other tools required for the hackathon

Tools to create CAD models

Package up mongodb documents into parquet files

Tutorials and scripts to use Summit in order to scale up your Python deep learning projects. It covers basics of data parallelism and goes over what to add in your code to parallelize your training process.

Python utility to wrap arbitrary executables to be executed remotely via ssh. Used to allow users in a no-root container environment to run job submission commands which normally require root.

distributed deep learning examples on Summit for Keras, PyTorch, and TensorFlow.