XSEDE16 has ended

Sign up or log in to bookmark your favorites and sync them to your phone or calendar.

Visualization [clear filter]
Wednesday, July 20

3:30pm EDT

VIS: Visualization Showcase Panel I
The panelists' Scientific Visualization Showcase submissions will be shown with each panelist providing insights into the process of creating cutting edge outreach visualizations.  The remainder of the session will be an open floor for discussion giving audience members the opportunity to engage panelists.

Visualization of Geodynamo Simulations

Panelist: Amit Chourasia

Earth’s magnetic field undergoes striking variations in direction and strength on a vast spectrum of time scales. Complex motions of the liquid iron core maintain the magnetic field, but the inner workings of this so-called dynamo process are obscured from direct observation and pose significant challenges for theoretical and computational modeling. This study aims to simulate the dynamo and determine which parameters can be associated with common features that are observed in the incomplete geological record of the magnetic field. The simulation produces an output comprised of magnetic field, the fluid flow, and temperature in the Earth’s core. Visualization results based on the output data are compared with observations projected down to the core surface, and to link those features with model behavior deep within the core. The visualization aspect of this study is enabling the scientists to identify interesting physical phenomena in the models that may be related to observation, including fluid up and down welling throughout the liquid core.

Insights into Alzheimer's Disease: Molecular Dynamics (MD) Simulations of Peptide-Membrane Interactions

Panelist: Ayat Mohammed

High performance computing (HPC) is essential in order to perform detailed MD simulations that allow for mechanistic insight into many diseases. Alzheimer’s disease (AD) pathology is primarily caused by the Aβ(42) peptide. MD simulations of a toxic (human Aβ(42) ) and non-toxic (rat Aβ(42) ) were performed in physiologically-relevant membrane environment conditions (310 K, 150 mM NaCl, pH 7) to assess differences in toxicity to membranes relevant to AD. The simulation results were processed with open tools and the results rendered with a raytracer. This paper describes the background science and the visualization techniques used to produce the accompanying video and compare the mechanisms of amyloid activity.

Interactive high quality visualization of long track EF5 Tornado with NVIDIA IndeX

Panelist: Mahendra Roopa

It is planned to show a 1+ TB of time-varying simulation data of an EF5 tornado within NVIDIA IndeX at interavtive frame rates. NVIDIA IndeX is an SDK that leverages GPU clusters for scalable, real-time, visualization and computing of multi-valued volumetric data together with embedded geometry data. See the following video: 
Different attributes of the tornado are shown within NVIDIA IndeX. 

MPAS-Ocean, Accelerated Climate Model for Energy

Panelist: Greg Abram

Climate change research relies on models to better understand and predict the complex, interdependant processes that affect the atmosphere, ocean, and land. These models are computationally intensive and produce terabytes to petabytes of data. Visualization and analysis is increasingly difficult, yet is critical to gain scientific insights from large simulations. The recently-developed Model for Prediction Across Scales-Ocean (MPAS-Ocean) is designed to investigate climate change at global high-resolution (5 to 10 km gridcells) on high performance computing platforms. In the accompanying video, we use state-of-the-art visualization techniques to explore the physical processes in the ocean relevant to climate change. These include heat transport, turbulence and eddies, weakening of the meridional overturning circulation, and interaction between a warming ocean and Antarctic ice shelves. The project exemplifies the benefits of tight collaboration among scientists, artists, computer scientists, and visualization specialists. 

An Extreme-Scale Implicit Solver for Complex PDEs: Highly Heterogeneous Flow in Earth's Mantle

Panelist: Greg Abram

This visualization shows the result of the Gordon Bell Award-winning simulation of mantle convection done by scientists from the University of Texas, IBM and Cal Tech. The flow is illustrated by the advection of particles positioned hear one face of the Marianas Trench, showing the cyclic flow down, eastward, up and westward. 

Potential Connectivity in the Coral Triangle

Panelist: Scott Pearse

Rising ocean temperatures have given rise to coral bleaching events at higher rates than have been seen in observed history. Researchers at the National Center for Atmospheric Research are studying how effectively coral reef ecosystems can repopulate each other after bleaching events through a metric called Potential Connectivity. In this visualization, we observe a state of the art flow simulation called CT-ROMS. This simulation replicates the nature of the Coral Triangle, recognized as the world center for marine biodiversity.

Video can be found here:http://www.vis.ucar.edu/~pearse/fullSequence_5.mp4 

Wednesday July 20, 2016 3:30pm - 5:30pm EDT
Thursday, July 21

10:30am EDT

VIS: Visualization Showcase Panel II
The panelists' Visualization Showcase submissions will be shown with each panelist providing insights into the process of creating cutting edge outreach visualizations.  The remainder of the session will be an open floor for discussion giving audience members the opportunity to engage panelists.

Hurricane Odile HWRF Simulation

Panelist: Matt Rehme

When Hurricane Odile made landfall on the Baja California Peninsula in September 2014 as a category 3 storm, it inflicted widespread damage, flooding and power outages in Mexico and the Southwestern United States. Researchers at the National Center for Atmospheric Research (NCAR) in Boulder, CO, created this simulation using the Hurricane Weather Research Forecast, an advanced hurricane prediction system developed by the National Oceanic and Atmospheric Administration (NOAA).

Using advanced computing and storage resources at NCAR and NOAA, the simulation combines dropsonde data, conventional observations and satellite data into a 3-D grid with 3KM horizontal resolution and 61 vertical levels providing a highly detailed glimpse into the processes and evolution of this hurricane over a 6-day period. The system, now deployed for real-time storm tracking, fills gaps in previous weather simulations to provide a more accurate assessment of intensity, structure and expected rainfall for severe storms.

Viewing Link (YouTube): https://youtu.be/NYWgCuaeXrw

Download Link (DropBox): https://dl.dropboxusercontent.com/u/97834010/odile1920x1080_01.mp4

El Niño: 1997 Compared with 2015

Panelist: Matt Rehme

This visualization was created using advanced computing resources at NCAR, including the NCAR Command Language (NCL), a programming language designed specifically for scientific data processing and visualization; and Geyser, a large-memory node system used for large-scale analysis and post-processing tasks, operated by NCAR’s Computational & Information Systems laboratory. The animation depicts a comparison of changes in sea surface temperature (SST) anomalies between the major El Niño event of 1997-98 and the El Niño event which emerged in 2015.

The data visualized are from the NOAA 1/4° daily Optimum Interpolation Sea Surface Temperature (OISST) database. These data sets are combined from sources such as satellites, buoy networks, and ships. They are named for the key satellite sensor used: in this case, the Advanced Very High Resolution Radiometer (AVHRR).

Viewing link: https://www.youtube.com/watch?v=whsQbIwWjBo

Download Link: https://www.dropbox.com/s/09yklospylcj4g9/elnino1997v2015_to1231_titles.mov?dl0 

Visualization of Storm Simulations for Data Mining Tornadogenesis Precursors

Panelist: Greg Foss

This video is a sample of animations resulting from an in-progress XSEDE ECSS project investigating the use of 3D visualization techniques as a possible data mining method exploring large (approximately 5TB) and complex supercell thunderstorm simulation data. The goal is finding factors (referred to as objects) that distinguish tornadogenesis (tornado formation) from "tornado failure" (failure of a storm containing strong low-level rotation to produce a tornado) in a series of simulated storms.The animations will be used to help develop the object definitions for the data mining, to ensure automatically extracted objects match subjectively (visually) identified ones,and to develop definitions for new objects. This submission's material results from the project's first dataset and visualizes hook echoes, BWERs, updrafts, cold pools, vertical pressure perturbation gradients, and helicity/vorticity properties. In addition to consultants from TACC's visualization staff, XSEDE resources include HPC systems Maverick (TACC), and Stampede (TACC)for the visualizations, and Darter (NICS) for the storm simulations.

Visualization of simulated white dwarf collisions as a primary channel for type Ia supernovae

Panelist: David Bock

Type Ia supernovae are an important and significant class of supernovae. While it is known that these events result from thermonuclear explosions of white dwarfs, there is currently no satisfactory scenario to achieve such explosions. Direct collisions of white dwarfs are simulated to study the possibility that the resulting explosions are the main source of type Ia supernovae. An adaptive mesh refinement grid simulates the varying levels of detail and a custom volume renderer is used to visualize density, temperature, and the resulting nickel production during the collision. 

Link: http://lantern.ncsa.illinois.edu/~dbock/Vis/XSEDE/XSEDE16/Bock_Kushnir.mov 
Visualization: David Bock, National Center for Supercomputing Applications 
Principal Investigator: Doron Kushnir, Institute for Advanced Study

Orbiting Black Holes Magnetohydrodynamics

Panelist: Mark Van Moer

This visualization shows a simulation of two orbiting black holes generated by the HARM3d magnetohydrodynamics package. The focus will be on showing the behavior of magnetic field lines emanating from just above the black holes, perpendicular to the orbital plane. The completed video will highlight the field line entrainment and encirclement of the orbital axis along with volume rendering of the particle density in order to show their correspondence.

The rough cut of the video can be downloaded from:


We anticipate having more timesteps available by the time of the conference with correspondingly longer sequences.

ParaView + OSPRay: High-Fidelity Ray Tracing for Scientific Visualization

Panelist: Paul Navratil

This visualization demonstrates an integration of the Intel OSPRay ray tracing engine with ParaView, a VTK-based visualization toolkit. By using ray tracing, researchers can produce visualizations with photorealistic shading more easily than with rasterization-based methods. In addition, ray tracing is more efficient than rasterization when rendering many views of high-resolution geometry. This video demonstrates the capabilities of the current pvOSPRay implementation and compares the visualization results against standard ParaView rendering. pvOSPRay is available on TACC high-performance computing systems and available for download at https://tacc.github.io/pvOSPRay/ . 

The movie is available for download at https://utexas.box.com/v/XSEDE16Vis 

Thursday July 21, 2016 10:30am - 12:00pm EDT