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Static resource files for the armlive web service. This service allows users to download files from the live data archive.

Adaptive Sparse Grid Discretization solver.

Adaptive Sparse Grid Discretization solver.

ExaSheds work directory with large files.

ExaDigiT/AutoCSM is a template system-of-systems modeling approach for automating the development, deployment, and integration of cooling system models (CSMs) for supercomputing facilities within the ExaDigiT framework. AutoCSM is a Python-based framework to assist in CSM developers in accelerating the creation and deployment of system-level thermal-hydraulic CSMs. The intention is for this tool specifically to help standardize digital twin workflows for ExaDigiT. However, this tool can be used independent of ExaDigiT (and even other systems besides CSMs).

Parallel, multi-GPU Autoencoder using Thinc

Domain decomposition with automatic halo exchange using pytorch multigpu as well as the new RPC interface in pytorch 1.4.

Scripts in ~/.local/bin or ~/bin.

Libraries for reading/writing SNS custom binary files.

Publicly released code for the paper "A Pre-Training and Self-Training Approach For Biomedical Named Entity Recognition"

Updated McStas code originating from Franz Gallmeier's Original Simulation and report from Oct 2010.

VENUS instrument at SNS-FTS10

A kubernetes deployment of BlazingSQL on marble

Cupy&Numba accelerated multiscale bm3d algorithm for ring artifact removal in normalized sinogram.

This page represents the solution developed for building energy use challenge from Smoky Mountains Data Challenge. https://smc-datachallenge.ornl.gov/challenges-2020/challenge-3-2020/