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

Collection of jupyterNBs for VIBE cloud that demonstrate end to end workflow by generating meshes, running multiphysics simulations and analyzing results within internet browser.

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

Set up a BlazingSQL container in Google cloud Kubernetes Engine (GKE)

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

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.

Short course for the Computational Earth Sciences group on Python tools and best practices.

ExaSheds work directory with large files.

Code to reproduce the results found in "Simulating the Shastry-Sutherland Ising Model using Quantum Annealing." Manuscript can be found at https://arxiv.org/abs/2003.01019.

deep learning helper package

SHOWER model for RAIS/EPA