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The project aims to develop deterministic and stochastic accelerations to speed-up and better scale the training of deep learning models on large-scale computational environments.

The project aims to develop deterministic and stochastic accelerations to speed-up and better scale the training of deep learning models on large-scale computational environments.

Pegasus workflow for ACME climate models

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

Next generation of ADIOS developed in the Exascale Computing Program

Gui application for AI4HDR

The final image retrieval prototype developed during the SULI term of Spring 2021.

AMPX is a modular code package of computer programs used to provide continuous energy, multi-group, and covariance data libraries for radiation transport and sensitivity uncertainty analysis packages in SCALE.

AMPX is a modular code package of computer programs used to provide continuous energy, multi-group, and covariance data libraries for radiation transport and sensitivity uncertainty analysis packages in SCALE.

This project provides exemplar tests of scientific software to be run in a staged environment prior to deploying software to ensure that the software, modules, and environment will reproduce functional expectations.

Performance-portable geometric search library