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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.
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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.
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Pegasus workflow for ACME climate models
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Code for running jupyter jobs on Ascent, and other tools required for the hackathon
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Next generation of ADIOS developed in the Exascale Computing Program
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Gui application for AI4HDR
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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.
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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.
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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.
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Performance-portable geometric search library
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The Automatic Report Compilation Tool (ARCTool) is designed to make it easier to automatically generate reports of all sorts. Uses Python 3 and PyQt5.
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