Adaptive Learning Theory
Abstract not provided.
Publications
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Jump to search filtersTheoretical Neuroscience in the Age of Big Data and Machine Learning
Abstract not provided.
Percept User Manual
This document is the main user guide for the Sierra/Percept capabilities including the mesh_adapt and mesh_transfer tools. Basic capabilities for uniform mesh refinement (UMR) and mesh transfers are discussed. Examples are used to provide illustration. Future versions of this manual will include more advanced features such as geometry and mesh smoothing. Additionally, all the options for the mesh_adapt code will be described in detail. Capabilities for local adaptivity in the context of offline adaptivity will also be included. This page intentionally left blank.
Performance Portable Multi-Species Plasma Code
Abstract not provided.
Kokkos Hierarchical Task-Data Parallelism for C++ HPC Applications
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Kokkos Tutorial
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Profiling Kokkos Application
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Convolutional Neural Networks for Frequency Response Predictions
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A Digital Neuromorphic Architecture Efficiently Facilitating Complex Synaptic Response Functions Applied to LSMs
Abstract not provided.
Virtual Clusters to the Rescue: Analytics Workloads Demand Diverse Supercomputing Software Stacks
Abstract not provided.
Multigrid for multiphysics using the MueLu framework
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The LAMMPS molecular dynamics engine
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Interfacing Between Codes
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PowerAPI: Power Measurement and Control for the Extreme Scale Computing Community
Abstract not provided.
XVis: Visualization for the Extreme-Scale Scientific-Computation Ecosystem: Mid-year report FY17 Q2
The XVis project brings together the key elements of research to enable scientific discovery at extreme scale. Scientific computing will no longer be purely about how fast computations can be performed. Energy constraints, processor changes, and I/O limitations necessitate significant changes in both the software applications used in scientific computation and the ways in which scientists use them. Components for modeling, simulation, analysis, and visualization must work together in a computational ecosystem, rather than working independently as they have in the past. This project provides the necessary research and infrastructure for scientific discovery in this new computational ecosystem by addressing four interlocking challenges: emerging processor technology, in situ integration, usability, and proxy analysis.
The Many Faces and Solutions of In Situ Visualization
Abstract not provided.
Why You Don't Want to do In Situ Visualization and Why You Have To
Abstract not provided.
Incorporating Data Uncertainty into Equation of State Tables
Abstract not provided.
Next Generation Science Applications for the Next Generation of Supercomputing
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Next Generation Science Applications for the Next Generation of Supercomputing
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Runtime collection and analysis of system metrics for production monitoring of Trinity Phase II (Paper)
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An explicit partitioned elastodynamics method based on Lagrange Multipliers
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NUMERICAL SIMULATION OF MICROSTRUCTURAL EVOLUTION DURING ADDITIVE MANUFACTURING OF METALS
Abstract not provided.
PDE-Constrained Optimization using Epi-Regularized Risk Measures
Abstract not provided.
Artificial Intelligence 3D Architecture & "Superstrider"
Abstract not provided.
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