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A major challenge faced by scientists today is the increasing rate of data generation by simulations. An additional major challenge is that the complexity of data generated from multi-parameter, multi-physics, multi-scale simulations are also increasing at a significant rate. Features in these datasets often manifest in a wide range of spatial and temporal scales, and a complete development of a phenomenon often traverses these scales. There is a need for exploratory visualization techniques that support understanding ensembles of results, methods for quantifying uncertainty, and tools for visually exploring and understanding features.

 

Leaders:

This email address is being protected from spambots. You need JavaScript enabled to view it. (LANL), This email address is being protected from spambots. You need JavaScript enabled to view it. (LBNL)

 

Team Members:

This email address is being protected from spambots. You need JavaScript enabled to view it., LLNL

This email address is being protected from spambots. You need JavaScript enabled to view it., LBNL

This email address is being protected from spambots. You need JavaScript enabled to view it., Kitware

This email address is being protected from spambots. You need JavaScript enabled to view it., U. Utah

This email address is being protected from spambots. You need JavaScript enabled to view it., UC Davis

This email address is being protected from spambots. You need JavaScript enabled to view it., UC Davis

This email address is being protected from spambots. You need JavaScript enabled to view it., ORNL

This email address is being protected from spambots. You need JavaScript enabled to view it., SNL-NM

This email address is being protected from spambots. You need JavaScript enabled to view it., ANL

This email address is being protected from spambots. You need JavaScript enabled to view it., ORNL

This email address is being protected from spambots. You need JavaScript enabled to view it., Kitware

This email address is being protected from spambots. You need JavaScript enabled to view it., Ohio State

 

Projects:

VisIt and ParaView

VTK-m Framework

Flow Visualization Methods

Rendering

Ensembles, Uncertainty, and Higher-Dimensional Methods

Unstructured Grid

OSUFlow+VTK Integration

[View PDF] Chun-Ming Chen, (Kitware, Inc.)Han-Wei Shen, (OSU) Berk Geveci (Kitware, Inc.)Tom Peterka (ANL) Objectives Visualize large scale flow simulation data such as Nek 5000 and MJO climate simulations Make available advanced parallel and out-of-core integral curve computation algorithms to the application scientists Support three-dimensional time-varying vector… Read more
Visual comparison of halos computed by the original HACC algorithms (left) and the PISTON algorithms (right).  The results are equivalent, but are computed much more quickly on the GPU using PISTON

New Data-parallel Algorithms Accelerate Cosmology Data Analysis on GPUs

[View PDF] Jim Ahrens, Chris Sewell, and John Patchett (LANL) Objectives Milestone Implement application-specific visualization and/or analysis… Read more
Magnetic field generated by the currents at the shear surface

Relativistic Radiation from Kelvin-Helmholtz Instability

[View PDF] Dave Pugmire (ORNL) VisIt and PIConGPU VisIt: Large data parallel visualization tool Rich set of visualization and analysis plots and… Read more
Total Precipitable Water Visualization

NSF/DOE Community Atmospheric Model: Total Precipitable Water Visualization

[View PDF] Kenneth Moreland, SNL Objective The Climate Science Computational End Station (CCES) aims to predict future climates by using scenarios of… Read more
Threshold (No Point Merging)

Massively Threaded Visualization Algorithms for the Next Generation of High Performance Computing

[View PDF] Kenneth Moreland, SNL Objective Develop readiness for scientific data analysis and visualization at extreme scale. Address challenges of… Read more
Cropped region showing coherent structures late in the simulation

PIC simulations of heating in the solar wind resolve full spectrum of physics down to electron scales

[View PDF] H. Karimabadi, U-CaliforniaW. H. Matthaeus, U-DelawareW. Daughton, LANLB. Loring, LBNL Objectives Analyze the full spectrum of heating… Read more
Line integral convolution (LIC) visualization of magnetic field.

Space Weather, global simulations of solar wind interaction with the Earth's magnetosphere

[View PDF] Patrick O'Leary, Kitware Inc.Burlen Loring, LBNL Objectives Enable in situ visualization for global hybrid (electron fluid, kinetic ions)… Read more
Two isosurfaces showing the structure of particle density (blue) and current density (red).

Remote Visualization of Complex Phenomena on Very Large Datasets

[View PDF] Berk Geveci (Kitware), Jim Ahrens (LANL) Objectives To understand the 3D evolution of tearing modes (causing plasma instabilities) in… Read more
Geveci.Kitware.Vis.jet.flow-fig1

ParaView Enables the Remote Analysis of 1 Billion Element Mesh

[View PDF] Kenneth Jansen, U. ColoradoMichel Rasquin, ArgonneBerk Geveci, Kitware, Inc. Objectives Simulate and analyze synthetic jet flow control… Read more
Fluid / Plasma simulation

Visualizing data from the BOUT++ framework for fluid/plasma simulations

[View PDF] Eric Brugger (LLNL) Objectives BOUT++ is a framework for writing fluid / plasma simulations in curvilinear geometry Provide a… Read more
Brugger.LLNL.Vis.Back.Light.Fusion-fig1

Visualization of Laser Back Scatter

[View PDF] Eric Brugger (LLNL) Application Laser back scatter modeling by Dr. Steve Langer at LLNL Technology Ability to view data using a… Read more