2017
Patchett, John; Gisler, Galen
Deep Water Impact Ensemble Data Set Technical Report
2017, (LA-UR-17-21595).
Abstract | Links | BibTeX | Tags: asteroid, ensemble data set, In situ analysis, ParaView
@techreport{Patchett2017,
title = {Deep Water Impact Ensemble Data Set},
author = {John Patchett and Galen Gisler},
url = {http://datascience.dsscale.org/wp-content/uploads/2017/08/DeepWaterImpactEnsembleDataSet_Revision1.pdf},
year = {2017},
date = {2017-05-02},
abstract = {This ensemble data set represents the study of asteroid impacts in deep ocean water. NASA’s Planetary Defense Coordination Office [1] is keenly interested to know the lower size limit of dangerous asteroids, so as to focus resources on finding all larger objects that potentially threaten the earth. Since most of the planet’s surface is water, that is where asteroids will most likely impact. This observation has generated a serious debate over the last two decades on just how dangerous impact-induced waves or tsunamis are to populated shorelines.},
note = {LA-UR-17-21595},
keywords = {asteroid, ensemble data set, In situ analysis, ParaView},
pubstate = {published},
tppubtype = {techreport}
}
This ensemble data set represents the study of asteroid impacts in deep ocean water. NASA’s Planetary Defense Coordination Office [1] is keenly interested to know the lower size limit of dangerous asteroids, so as to focus resources on finding all larger objects that potentially threaten the earth. Since most of the planet’s surface is water, that is where asteroids will most likely impact. This observation has generated a serious debate over the last two decades on just how dangerous impact-induced waves or tsunamis are to populated shorelines.
Patchett, John; Nouanesengsy, Boonthanome; Gisler, Galen; Ahrens, James; Hagen, Hans
In Situ and Post Processing Workflows for Asteroid Ablation Studies Proceedings Article
In: Kozlikova, Barbora; Schreck, Tobias; Wischgoll, Thomas (Ed.): EuroVis 2017 - Short Papers, The Eurographics Association, 2017, ISBN: 978-3-03868-043-7, (LA-UR-17-22699).
Abstract | Links | BibTeX | Tags: asteroid, in situ
@inproceedings{eurovisshort.20171134,
title = {In Situ and Post Processing Workflows for Asteroid Ablation Studies},
author = {John Patchett and Boonthanome Nouanesengsy and Galen Gisler and James Ahrens and Hans Hagen},
editor = {Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll},
url = {http://datascience.dsscale.org/wp-content/uploads/2017/08/LA-UR-17-22699.pdf},
doi = {10.2312/eurovisshort.20171134},
isbn = {978-3-03868-043-7},
year = {2017},
date = {2017-01-01},
booktitle = {EuroVis 2017 - Short Papers},
publisher = {The Eurographics Association},
abstract = {Simulation scientists need to make decisions about what and how much output to produce. They must balance their ability to efficiently ingest the analysis with their ability to get more analysis. We study this balance as a tradeoff between flexibility of saved data products and accessibility of saved data products. One end of the spectrum is raw data that comes directly from the simulation, making it highly flexible, but inaccessible due to its size and format. The other end of the spectrum is highly processed and comparatively small data, often in the form of imagery or single scalar values. This data is typically highly accessible, needing no special equipment or software, but lacks flexibility for deeper analysis than what is presented. We lay out a user driven model that considers the scientists' output needs in regards to flexibility and accessibility. This model allows us to analyze a real-world example of a large simulation lasting months of wall clock time on thousands of processing cores. Though the ensemble of simulation's original intent was to study asteroid generated tsunamis, the simulations are now being used beyond that scope to study the asteroid ablation as it moves through the atmosphere. With increasingly large supercomputers, designing workflows that support an intentional and understood balance of flexibility and accessibility is necessary. In this paper, we present a new strategy developed from a user driven perspective to support the collaborative capability between simulation developers, designers, users and analysts to effectively support science by wisely using both computer and human time.},
note = {LA-UR-17-22699},
keywords = {asteroid, in situ},
pubstate = {published},
tppubtype = {inproceedings}
}
Simulation scientists need to make decisions about what and how much output to produce. They must balance their ability to efficiently ingest the analysis with their ability to get more analysis. We study this balance as a tradeoff between flexibility of saved data products and accessibility of saved data products. One end of the spectrum is raw data that comes directly from the simulation, making it highly flexible, but inaccessible due to its size and format. The other end of the spectrum is highly processed and comparatively small data, often in the form of imagery or single scalar values. This data is typically highly accessible, needing no special equipment or software, but lacks flexibility for deeper analysis than what is presented. We lay out a user driven model that considers the scientists' output needs in regards to flexibility and accessibility. This model allows us to analyze a real-world example of a large simulation lasting months of wall clock time on thousands of processing cores. Though the ensemble of simulation's original intent was to study asteroid generated tsunamis, the simulations are now being used beyond that scope to study the asteroid ablation as it moves through the atmosphere. With increasingly large supercomputers, designing workflows that support an intentional and understood balance of flexibility and accessibility is necessary. In this paper, we present a new strategy developed from a user driven perspective to support the collaborative capability between simulation developers, designers, users and analysts to effectively support science by wisely using both computer and human time.
2016
Patchett, John; Samsel, Francesca; Tsai, Karen; Gisler, Galen; Rogers, David; Abram, Greg; Turton, Terece
Visualization and Analysis of Threats from Asteroid Ocean Impacts Proceedings Article
In: 2016, (Winner, Best Scientific Visualization & Data Analytics Showcase; LA-UR-16-26258).
Abstract | Links | BibTeX | Tags: asteroid, visualization and data analysis
@inproceedings{Patchett2016asteroidvis,
title = {Visualization and Analysis of Threats from Asteroid Ocean Impacts},
author = {John Patchett and Francesca Samsel and Karen Tsai and Galen Gisler and David Rogers and Greg Abram and Terece Turton},
url = {http://datascience.dsscale.org/wp-content/uploads/2017/08/VisualizationAndAnalysisOfThreatsFromAsteroidOceanImpacts.pdf},
year = {2016},
date = {2016-01-01},
journal = {2016 ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis (SC)},
abstract = {An asteroid colliding with earth can have grave consequences. An impact in the ocean has complex effects as the kinetic energy of the asteroid is transferred to the water, potentially causing a tsunami or other distant effect. Scientists at Los Alamos National Laboratory are using the xRage simulation code on high performance computing (HPC) systems to understand the range of possible behaviors of an asteroid impacting the ocean. By running ensembles of large scale 3D simulations, scientists can study a set of potential factors for asteroid-generated tsunamis (AGTs) such as angle of impact, asteroid mass and air burst elevation. These studies help scientists understand the consequences of asteroid impacts such as water dispersement into the atmosphere, which can impact the global climate, or tsunami creation, which can place population centers at risk. The results of these simulations will support NASA’s Office of Planetary Defense in deciding how to best track near-Earth objects (NEOs).},
note = {Winner, Best Scientific Visualization & Data Analytics Showcase; LA-UR-16-26258},
keywords = {asteroid, visualization and data analysis},
pubstate = {published},
tppubtype = {inproceedings}
}
An asteroid colliding with earth can have grave consequences. An impact in the ocean has complex effects as the kinetic energy of the asteroid is transferred to the water, potentially causing a tsunami or other distant effect. Scientists at Los Alamos National Laboratory are using the xRage simulation code on high performance computing (HPC) systems to understand the range of possible behaviors of an asteroid impacting the ocean. By running ensembles of large scale 3D simulations, scientists can study a set of potential factors for asteroid-generated tsunamis (AGTs) such as angle of impact, asteroid mass and air burst elevation. These studies help scientists understand the consequences of asteroid impacts such as water dispersement into the atmosphere, which can impact the global climate, or tsunami creation, which can place population centers at risk. The results of these simulations will support NASA’s Office of Planetary Defense in deciding how to best track near-Earth objects (NEOs).
: . .
1.
Patchett, John; Gisler, Galen
Deep Water Impact Ensemble Data Set Technical Report
2017, (LA-UR-17-21595).
@techreport{Patchett2017,
title = {Deep Water Impact Ensemble Data Set},
author = {John Patchett and Galen Gisler},
url = {http://datascience.dsscale.org/wp-content/uploads/2017/08/DeepWaterImpactEnsembleDataSet_Revision1.pdf},
year = {2017},
date = {2017-05-02},
abstract = {This ensemble data set represents the study of asteroid impacts in deep ocean water. NASA’s Planetary Defense Coordination Office [1] is keenly interested to know the lower size limit of dangerous asteroids, so as to focus resources on finding all larger objects that potentially threaten the earth. Since most of the planet’s surface is water, that is where asteroids will most likely impact. This observation has generated a serious debate over the last two decades on just how dangerous impact-induced waves or tsunamis are to populated shorelines.},
note = {LA-UR-17-21595},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
This ensemble data set represents the study of asteroid impacts in deep ocean water. NASA’s Planetary Defense Coordination Office [1] is keenly interested to know the lower size limit of dangerous asteroids, so as to focus resources on finding all larger objects that potentially threaten the earth. Since most of the planet’s surface is water, that is where asteroids will most likely impact. This observation has generated a serious debate over the last two decades on just how dangerous impact-induced waves or tsunamis are to populated shorelines.
2.
Patchett, John; Nouanesengsy, Boonthanome; Gisler, Galen; Ahrens, James; Hagen, Hans
In Situ and Post Processing Workflows for Asteroid Ablation Studies Proceedings Article
In: Kozlikova, Barbora; Schreck, Tobias; Wischgoll, Thomas (Ed.): EuroVis 2017 - Short Papers, The Eurographics Association, 2017, ISBN: 978-3-03868-043-7, (LA-UR-17-22699).
@inproceedings{eurovisshort.20171134,
title = {In Situ and Post Processing Workflows for Asteroid Ablation Studies},
author = {John Patchett and Boonthanome Nouanesengsy and Galen Gisler and James Ahrens and Hans Hagen},
editor = {Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll},
url = {http://datascience.dsscale.org/wp-content/uploads/2017/08/LA-UR-17-22699.pdf},
doi = {10.2312/eurovisshort.20171134},
isbn = {978-3-03868-043-7},
year = {2017},
date = {2017-01-01},
booktitle = {EuroVis 2017 - Short Papers},
publisher = {The Eurographics Association},
abstract = {Simulation scientists need to make decisions about what and how much output to produce. They must balance their ability to efficiently ingest the analysis with their ability to get more analysis. We study this balance as a tradeoff between flexibility of saved data products and accessibility of saved data products. One end of the spectrum is raw data that comes directly from the simulation, making it highly flexible, but inaccessible due to its size and format. The other end of the spectrum is highly processed and comparatively small data, often in the form of imagery or single scalar values. This data is typically highly accessible, needing no special equipment or software, but lacks flexibility for deeper analysis than what is presented. We lay out a user driven model that considers the scientists' output needs in regards to flexibility and accessibility. This model allows us to analyze a real-world example of a large simulation lasting months of wall clock time on thousands of processing cores. Though the ensemble of simulation's original intent was to study asteroid generated tsunamis, the simulations are now being used beyond that scope to study the asteroid ablation as it moves through the atmosphere. With increasingly large supercomputers, designing workflows that support an intentional and understood balance of flexibility and accessibility is necessary. In this paper, we present a new strategy developed from a user driven perspective to support the collaborative capability between simulation developers, designers, users and analysts to effectively support science by wisely using both computer and human time.},
note = {LA-UR-17-22699},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Simulation scientists need to make decisions about what and how much output to produce. They must balance their ability to efficiently ingest the analysis with their ability to get more analysis. We study this balance as a tradeoff between flexibility of saved data products and accessibility of saved data products. One end of the spectrum is raw data that comes directly from the simulation, making it highly flexible, but inaccessible due to its size and format. The other end of the spectrum is highly processed and comparatively small data, often in the form of imagery or single scalar values. This data is typically highly accessible, needing no special equipment or software, but lacks flexibility for deeper analysis than what is presented. We lay out a user driven model that considers the scientists' output needs in regards to flexibility and accessibility. This model allows us to analyze a real-world example of a large simulation lasting months of wall clock time on thousands of processing cores. Though the ensemble of simulation's original intent was to study asteroid generated tsunamis, the simulations are now being used beyond that scope to study the asteroid ablation as it moves through the atmosphere. With increasingly large supercomputers, designing workflows that support an intentional and understood balance of flexibility and accessibility is necessary. In this paper, we present a new strategy developed from a user driven perspective to support the collaborative capability between simulation developers, designers, users and analysts to effectively support science by wisely using both computer and human time.
3.
Patchett, John; Samsel, Francesca; Tsai, Karen; Gisler, Galen; Rogers, David; Abram, Greg; Turton, Terece
Visualization and Analysis of Threats from Asteroid Ocean Impacts Proceedings Article
In: 2016, (Winner, Best Scientific Visualization & Data Analytics Showcase; LA-UR-16-26258).
@inproceedings{Patchett2016asteroidvis,
title = {Visualization and Analysis of Threats from Asteroid Ocean Impacts},
author = {John Patchett and Francesca Samsel and Karen Tsai and Galen Gisler and David Rogers and Greg Abram and Terece Turton},
url = {http://datascience.dsscale.org/wp-content/uploads/2017/08/VisualizationAndAnalysisOfThreatsFromAsteroidOceanImpacts.pdf},
year = {2016},
date = {2016-01-01},
journal = {2016 ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis (SC)},
abstract = {An asteroid colliding with earth can have grave consequences. An impact in the ocean has complex effects as the kinetic energy of the asteroid is transferred to the water, potentially causing a tsunami or other distant effect. Scientists at Los Alamos National Laboratory are using the xRage simulation code on high performance computing (HPC) systems to understand the range of possible behaviors of an asteroid impacting the ocean. By running ensembles of large scale 3D simulations, scientists can study a set of potential factors for asteroid-generated tsunamis (AGTs) such as angle of impact, asteroid mass and air burst elevation. These studies help scientists understand the consequences of asteroid impacts such as water dispersement into the atmosphere, which can impact the global climate, or tsunami creation, which can place population centers at risk. The results of these simulations will support NASA’s Office of Planetary Defense in deciding how to best track near-Earth objects (NEOs).},
note = {Winner, Best Scientific Visualization & Data Analytics Showcase; LA-UR-16-26258},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
An asteroid colliding with earth can have grave consequences. An impact in the ocean has complex effects as the kinetic energy of the asteroid is transferred to the water, potentially causing a tsunami or other distant effect. Scientists at Los Alamos National Laboratory are using the xRage simulation code on high performance computing (HPC) systems to understand the range of possible behaviors of an asteroid impacting the ocean. By running ensembles of large scale 3D simulations, scientists can study a set of potential factors for asteroid-generated tsunamis (AGTs) such as angle of impact, asteroid mass and air burst elevation. These studies help scientists understand the consequences of asteroid impacts such as water dispersement into the atmosphere, which can impact the global climate, or tsunami creation, which can place population centers at risk. The results of these simulations will support NASA’s Office of Planetary Defense in deciding how to best track near-Earth objects (NEOs).