Explore projects

ProfugusMC is a Monte Carlo radiation transport mini-app. It is designed to be a minimal, self-contained version of the Profugus application.

This project captures the instructions, inputs, and outputs for conducting a dakota+nek5000 parameter study

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

An API for actors.

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.

Intercept Library for IBM/Summit Burst Buffer.

Decentralized learning experiments on Summit

A kubernetes deployment of BlazingSQL on marble