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Decentralized learning experiments on Summit

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.

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.

SANS reduction backend - https://sans.ornl.gov - https://drtsans.readthedocs.io